Analysis Of Collaboration Networks Research Articles

Computational analysis of a collaboration network on human-computer interaction in Korea.

Since information and communication technology (ICT) has become one of the leading and essential fields for allowing developing countries to have the major growth engines, the majority of the countries have promoted collaboration in every ICT-related topics. In this study, we performed the trend and collaboration network analysis (CNA) in Korea for 2010-2019 among researchers who are related to human-computer interaction, one of the hottest research areas in ICT. Publication data were collected from SciVal, and the collaboration network was determined using degree, closeness, betweenness centralities, and PageRank. Hence, key researchers were identified based on their centrality metrics. The dataset contained 7,155 publications, thus reflecting the contributions of a total of 243 authors. The results of our data analysis demonstrated that key researchers can be identified via CNA; this aspect was not evident from the results of the most productive researchers. Additionally, on the basis of the results, the implications and limitations of this study were analyzed.

Intelligent Risk Management in Construction Projects: Systematic Literature Review

As digitalization leads to the development of the global economy and artificial intelligence stimulates technological innovation, integrating smart management methods into project management is becoming more and more critical to the development of the construction industry. As an influential branch of engineering management, intelligent risk management in the construction field will be a future research direction. Hence, the aim of this study is to find the gaps and future research trends in intelligent risk management field by Systematic Literature Review. In order to achieve these objectives, 436 articles were selected from the WOS and Scopus databases to be analyzed by CiteSpace scientometric software, and the results were classified into collaborative network analysis, co-citation analysis, and public network analysis. From the analysis, China had the highest number of publications, while the United States was the most influential country in this field. The researchers at different institutions in this field have formed research teams despite the lack of collaboration between the authors and their institutions. In co-cited references, the emphasis was on traditional methods and applications of risk analysis, with fewer citations of novel methods. According to the keywords, the clusters of keywords, and the temporal evolution of the keywords, and combining the conceptual model, 5 research gaps areas were discovered. In order to fulfill these challenges and barriers, this study found the future research trends, including: developing digital management platform for intelligent construction management and risk management; building a decision-making system for risk management to find an optimum solution; refining building digital models which would be the basis of digital management platform; identifying and category the characteristic construction risk factors by using machine learning techniques, just like text mining or knowledge graph; building an API to embed decision making system into digital management platform, and the intelligent risk management system in real-time projects to verify its possibility.

Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis

ABSTRACT This study proposes a hybrid method for producing personalized travel recommendation that better meet travellers’individual needs and also improve their online booking experience. The proposed method integrates multi-attribute collaborative filtering with social network analysis within the framework of large-scale group decision-making. It includes four modules, i.e. identification of online opinion experts, construction of a social network, detection of user communities, and interactively produced of personalized travel recommendation. Specifically, the preliminary user filtering and k-means clustering approach are utilized to identify the online opinion experts for a specific travel recommendation issue. Then, social network construction and its community detection process are adopted to alleviate the sparsity problem. Finally, the travel alternatives are ranked to select recommendations, and this is done interactively with travellers to handle the cold start problem. With the proposed method, a better online booking experience can be achieved for travellers, as they are presented with a more appropriate set of recommended options and so can make better travel decisions.

Global trends in research related to sleeve gastrectomy: A bibliometric and visualized study.

BACKGROUNDOne of the most popular bariatric procedures is sleeve gastrectomy, and it has become significantly more common in recent years.AIMTo evaluate the research activity in sleeve gastrectomy over the last two decades, and to visualize the hot spots and emerging trends in this type of bariatric surgery using bibliometric methods.METHODSThe Scopus database was used to search for publications related to sleeve gastrectomy. The retrieved publications were reviewed in terms of year of publication, type of study, country of origin, institutions, journals, and citation patterns by using descriptive analysis. Collaboration network and term co-occurrence analysis were visualized by using VOSviewer software.RESULTSThe search strategy yielded a total of 6508 publications on sleeve gastrectomy from 2001 to 2020. As regards the document type, the majority were articles (n = 5230; 80.36%), followed by reviews (n = 544; 8.36%). The top three countries are the United States, with 1983 publications (30.47%), followed by France (600; 9.22%) and Italy (417; 6.71%). The most cited publication was published in 2012 by Schauer et al in the New England Journal of Medicine (n = 1435 citations). This publication found that weight loss was greater in the sleeve gastrectomy group than in the medical therapy group. Furthermore, this study demonstrated that 12 mo of medical therapy plus bariatric surgery greatly improved glycemic regulation in obese patients with uncontrolled type 2 diabetes compared with medical therapy alone. The focus of the current literature on sleeve gastrectomy was directed toward several themes such as morbidity and potential complications, the complexity of the procedure and different surgical approaches, and diabetes and body mass index in correlation to sleeve gastrectomy.CONCLUSIONThe number of sleeve gastrectomy publications has gradually grown over the last 20 years. This bibliometric analysis could help researchers better understand the knowledge base and research frontiers surrounding sleeve gastrectomy. In addition, future studies may focus on emerging research hotspots.

Social network analysis of publication collaboration of accelerating change in MedEd consortium

Introduction The American Medical Association formed the Accelerating Change in Medical Education Consortium through grants to effect change in medical education. The dissemination of educational innovations through scholarship was a priority. The objective of this study was to explore the patterns of collaboration of educational innovation through the consortium’s publications. Method Publications were identified from grantee schools’ semi-annual reports. Each publication was coded for the number of citations, Altmetric score, domain of scholarship, and collaboration with other institutions. Social network analysis explored relationships at the midpoint and end of the grant. Results Over five years, the 32 Consortium institutions produced 168 publications, ranging from 38 papers from one institution to no manuscripts from another. The two most common domains focused on health system science (92 papers) and competency-based medical education (30 papers). Articles were published in 54 different journals. Forty percent of publications involved more than one institution. Social network analysis demonstrated rich publishing relationships within the Consortium members as well as beyond the Consortium schools. In addition, there was growth of the network connections and density over time. Conclusion The Consortium fostered a scholarship network disseminating a broad range of educational innovations through publications of individual school projects and collaborations.

Knowledge mapping of sharing accommodation: A bibliometric analysis

This study aims to examine the current state and knowledge progress on sharing accommodation, as well as identify knowledge gaps that provide implications for future research. 639 articles in Web of Science are examined through bibliometric analysis, including co-citation analysis, collaboration network analysis and cluster analysis. Findings reveal a dynamic flow of widening topics, the emergence of influential research institutions and scholars, and the dominant academic journals from tourism and hospitality but overspreading to other fields such as business & economics and environmental science. Clusters of research themes are identified, including the dynamic evolution of concepts, consumer behaviour from the perspective of guests and hosts, business models, impacts, spatial & temporal evolution, and regulation. The dynamic evolution of topics and the integrated framework reveal some knowledge gaps. The study contributes to existing literature by providing an intuitive and synthesised understanding of knowledge structure in this field and directions for future research.

A bibliometric analysis of Iranian Journal of Fuzzy Systems (2007-2020)

Iranian Journal of Fuzzy Systems (IJFS) is an international journal, based on the WoS core collection, this paper uses bibliometric methods and tools (VOSviewer and Bibliometrix) to analyze the publications of IJFS from 2007 to 2020. A total of 716 publications are analyzed. Firstly, according to the basic information of the publications, including the type of publications, the number of publications, the number of citations, the average number of citations and the h-index, we conduct a general statistical analysis to explore the basic characteristics and internal structure of the publications. Afterwards, by studying the citation structure of publications, this paper analyzes which groups and fields the journal is more concerned about. For the journal itself, we combine the number of citations and the number of publications to identify the most popular publications, the most productive and influential authors/institutes/countries/regions. In the collaboration network analysis, we map the collaboration network of countries/regions, institutes and authors to explore the different levels of collaboration. The co-citation network of the journal is studied to explore the relationship between IJFS and other international academic journals. In the analysis of keywords, we discuss the development trend and hot topics of keywords over time through co-occurrence analysis, word growth graph and thematic evolution analysis. Finally, based on the above analysis, we discuss the problems and challenges that the journal may face, and some main conclusions are drawn. This study has certain reference value for the further development of the related researchers�� scientific research and the journal.

MP67-14 SCIENTIFIC AUTHORSHIP OF COCHRANE SYSTEMATIC REVIEWS IN UROLOGY: A 2020 ANALYSIS

You have accessJournal of UrologyGlobal Health/Humanitarian (MP67)1 Sep 2021MP67-14 SCIENTIFIC AUTHORSHIP OF COCHRANE SYSTEMATIC REVIEWS IN UROLOGY: A 2020 ANALYSIS Ahmad Ozair, Nishanth Subash, and Abhinav Sonkar Ahmad OzairAhmad Ozair More articles by this author , Nishanth SubashNishanth Subash More articles by this author , and Abhinav SonkarAbhinav Sonkar More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002028.14AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Cochrane systematic reviews are widely considered to be amongst the highest level of evidence available with their conclusions often impacting policy and practice. Some countries and/or regions are reported to have a disproportionately higher representation in their authorship. However, it is unclear as to which countries have contributed the highest to Cochrane reviews in urology and what is the current state of collaboration existing between their authors. This study sought to determine authorship patterns and collaborative networks of Cochrane reviews in urology. METHODS: We searched and extracted data from the Cochrane Database for systematic reviews published under the Cochrane Urology Group by 20 June, 2020. We included both active reviews and those withdrawn for updation. For graphical representation, we used the Social Network Visualizer (https://socnetv.org/) and treated a collaborative author group belonging to a single country, e.g., MRC Clinical Trials Unit (UK), as a single author. RESULTS: A total of 80 eligible reviews were found, authored by a total of 430 authors. Co-authors disproportionately belonged to the US (30.5%) and UK (22.3%), followed by Germany (13.5%), South Korea (7.2%), China (4.9%), Australia (4.7%), Brazil (4.4%), Netherlands (3.5%), Canada (1.9%), Argentina and India (1.6% each), Italy (1.6%) and the rest (Fig. 1). A network analysis of collaborations between authors of different countries was generated (Fig. 2). Lead authors belonged maximally to US and UK (23.8% each), followed by South Korea (11.3%) and Germany (10%). Countries/regions, which otherwise contribute actively to urology literature, that had little/no representation included majority of Latin American and African countries, France, Spain and Japan. CONCLUSIONS: The US and the UK are found to be the biggest contributors to the highest-quality evidence in urology, consistent with citation analysis of urology literature. Capacity-building efforts are needed in several countries for getting academic urologists involved with Cochrane. Source of Funding: None © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e514-e515 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Ahmad Ozair More articles by this author Nishanth Subash More articles by this author Abhinav Sonkar More articles by this author Expand All Advertisement Loading ...

Bibliometric Analysis of Bronchopulmonary Dysplasia in Extremely Premature Infants in the Web of Science Database Using CiteSpace Software.

Objectives: To review the literature related to bronchopulmonary dysplasia in extremely pre-mature infants, summarize research direction, and report trends.Methods: CiteSpace is a Java application which supports visual exploration with knowledge discovery in bibliographic databases. Relevant articles from 2008 to 2020 were retrieved from the Web of Science Core Collection database, and we extracted the following data: title, abstract, year, keywords, author, organization, journal and cited literature. We downloaded the data into CiteSpace (version 5.7.R3) to summarize countries, institutions, journals, and authors. We visualized the data with a knowledge map, collaborative network analysis, cluster analysis, and burst keyword analysis.Results: We identified 610 articles on bronchopulmonary dysplasia in extremely pre-mature infants. The United States had the most articles on this topic (302 articles), followed by Canada (49 articles) and Germany (44 articles). The top three institutions, high-yield journals, and authors were all from the United States. The most common keywords were neurodevelopmental disorders, active perinatal care, mechanical ventilation, inflammation, pulmonary hypertension, low-dose hydrocortisone, development, and patent ductus arteriosus.Conclusions: This study illustrates the trends and frontiers in the study of bronchopulmonary dysplasia in extremely pre-mature infants. The current research direction is to identify the risk factors in developing bronchopulmonary dysplasia in extremely pre-mature infants.

Analysis of scientific collaboration network of Italian Institute of Technology

It has been proven that collaboration between authors leads to a positive influence on research. This paper aims to analyse the complex structure of the co-authorship network among researchers of the Italian Institute of Technology. In this paper, we examine two different co-authorship networks created starting from the data of the papers published by the Italian Institute of Technology during the period 2006–2019. We apply the main Social Network Analysis techniques to describe the relational structure of the group of researchers and its evolution over time. The structure and characteristics of the networks are analysed both at macro and micro levels, and an attempt is made to identify a possible relationship between the position of researchers in the graphs and their scientific productivity and quality.

Participatory network mapping of an emergent social network for a regional transition to a low-carbon and just society on the Dingle Peninsula

ABSTRACT The paper develops a methodological approach that acts as a tool for active change agents working in community and just transition contexts to increase their capacity to engage a wider public in planning. An innovative contribution is made to the literature through the development of a participatory action research (PAR) based approach to social network analysis using a participatory mapping method with relation to sustainable transitions. The method comprises a participatory network mapping approach, adapted from the Net-Map toolkit, which is applied to a multi-stakeholder approach to realising a regional sustainability transition in the Republic of Ireland. Dingle Peninsula 2030 is an initiative aiming to transition a geographic region in the South West of Ireland to a low-carbon society by 2030 across the sectors of energy, agriculture, transport, education, employment, marine and tourism. Due to the scope of the overall project, a diverse range of stakeholders are involved. The method developed is used to undertake a qualitative collaborative social network analysis. The paper focuses on method, by analysing and reflecting upon the use of this participatory approach, in the initial stages of the overall project, in addressing complex sustainability and just transition challenges as they are revealed through a multi-stakeholder approach. Within this, the themes of participatory justice, social learning and visualising complexity are explored; and benefits and future improvements are outlined through reflections from both the researcher and the participant community.

Network analysis of collaboration in networked universities

PurposeIn Latin America and the Caribbean, the access of students to higher education has presented an extraordinary growth over the past fifteen years. This rapid growth has presented a challenge for increasing the system resources and capabilities while maintaining its quality. As a result, the networked universities (NUs) organized themselves as a collaborative network, and they have become an interesting model for facing the complexity driven by globalization, rapidly changing technology, dynamic growth of knowledge and highly specialized areas of expertise. In this article, we studied the NU named Red Universitaria Mutis (Red Mutis) with the aim of characterizing the collaboration and integration structure of the network.Design/methodology/approachNetwork analytic methods (visual analysis, positional analysis and a stochastic network method) were used to characterize the organizational structure and robustness of the network, and to identify what variables or structural tendencies are related to the likelihood that specific areas of a university would collaborate.FindingsRed Mutis is a good example of regional NUs that could take advantage of the strengths, partnerships, information and knowledge of the regional and international universities that form the network. Analyses showed that Red Mutis has a differentiated structure consisting of academic and non-academic university areas with a vertical coordination (by steering and management) of the different university areas.Originality/valueThe methodology could be used as a framework to analyze and strengthen other strategic alliances between universities and as a model for the development of other NU in local and global contexts.

Exploring a comprehensive knowledge map for promoting safety management research in the construction industry

PurposeThe purpose of this paper was to map the safety management research of construction industry by scientometric analysis, which can predict important highlights and future research directions of safety management research in the construction industry. As an important issue in the construction industry, safety management issues have been researched from different perspectives. Although previous studies make knowledge contributions to the safety management research of construction industry, there are still huge obstacles to distinguish the comprehensive knowledge map of safety management research in the construction industry.Design/methodology/approachThis study applies three scientometric analysis methods, collaboration network analysis, co-occurrence network analysis and cocitation network analysis, to the safety management research of construction industry. 5,406 articles were retrieved from the core collection database of the Web of Science. CiteSpace was used for constructing a comprehensive analysis framework to analyze and visualize the safety management research of construction industry. According to integrating the analysis results, a knowledge map for the safety management research of construction industry can be constructed.FindingsThe analysis results revealed the academic communities, key research topics and knowledge body of safety management research in the construction industry. The evolution paths of safety management research in the construction industry were divided into three development stages: “construction safety management”, “multi-objective safety management” and “comprehensive safety management”. Five research directions were predicted on the future safety management research of construction industry, including (1) comprehensive assessment indicators system; (2) intelligent safety management; (3) cross-organization collaboration of safety management; (4) multilevel safety behavior perception and (5) comparative analysis of safety climate.Originality/valueThe findings can reveal the overall status of safety management research in the construction industry and represent a high-quality knowledge body of safety management research in the construction industry that accurately reflects the comprehensive knowledge map on the safety management research of construction industry. The findings also predict important highlights and future research directions of safety management research in the construction industry, which will help researchers in the safety management research of construction industry for future collaboration and work.

A bibliometric analysis of the dental scientific literature on COVID-19.

ObjectivesThe rapid production of a large volume of literature during the early phase of the COVID-19 outbreak created a substantial burden for clinicians and scientists. Therefore, this manuscript aims to identify and describe the scientific literature addressing COVID-19 from a dental research perspective, in terms of the manuscript origin, research domain, study type, and level of evidence (LoE).Materials and methodsData were retrieved from Web of Science, Scopus, and PubMed. A descriptive analysis of bibliographic data, collaboration network, and keyword co-occurrence analysis were performed. Articles were further classified according to the field of interest, main research question, type of study, and LoE.ResultsThe present study identified 296 dental scientific COVID-19 original papers, published in 89 journals, and co-authored by 1331 individuals affiliated with 429 institutions from 53 countries. Although 81.4% were single-country papers, extensive collaboration among the institutions of single countries (Italian, British, and Brazilian institutions) was observed. The main research areas were as follows: the potential use of saliva and other oral fluids as promising samples for COVID-19 testing, dental education, and guidelines for the prevention of COVID-19 transmission in dental practice. The majority of articles were narrative reviews, cross-sectional studies, and short communications. The overall LoE in the analyzed dental literature was low, with only two systematic reviews with the highest LoE I.ConclusionThe dental literature on the COVID-19 pandemic does not provide data relevant to the evidence-based decision-making process. Future studies with a high LoE are essential to gain precise knowledge on COVID-19 infection within the various fields of Dentistry.Clinical relevanceThe published dental literature on COVID-19 consists principally of articles with a low level of scientific evidence which do not provide sufficient reliable high-quality evidence that is essential for decision making in clinical dental practice.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00784-021-03916-6.

Analysis of production, impact, and collaboration networks in scientific research in Scopus for Peru from 2000 to 2019

Peru is a developing country with increasing scientific production. However, it is necessary to understand the trends, impact, and collaborative networks of research to plan for policy improvements. We analyzed the production, impact, and collaboration networks in the Peruvian scientific production between 2000 and 2019. We did an observational analytical study. We searched Scopus for all the publications with at least one author with a Peruvian affiliation declared in the author byline. A descriptive analysis of the different characteristics, trends, and scientific collaboration was carried out. Collaboration networks were plotted using VOSviewer. Between 2000 and 2019, Peru had a total of 24 482 publications in scientific journals, with an average annual growth of 13.6%. Of the total, 70% of all the articles were cataloged as Clinical Medicine and Biomedical Sciences. Only half of the articles had a Peruvian affiliation. The countries with the largest share of collaboration were the United States and Brazil, and the articles with international collaboration had the highest number of citations per publication. Scientific production in Peru has increased in recent years, with a significant percentage of publications based on international collaboration and led by authors with non-Peruvian affiliations. It is necessary to strengthen collaboration ties between Peruvian and foreign institutions. Furthermore, it is essential to propitiate further research that will help solve the country's problems.

Social network analysis and data visualization of MIS international collaboration in Taiwan

PurposeThe purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.Design/methodology/approachThe authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.FindingsThe authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.Originality/valueThis study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

An approach to twinning and mining collaborative network of construction projects

Understanding complex collaboration processes is essential for the success of construction projects. However, there is still a lack of efficient methods for timely collection and analysis of collaborative networks. Therefore, an integrated framework consisting three parts, namely, system updating for data collection, data preprocessing, and social network analysis, is proposed for the twinning and mining of collaborative network of a construction project. First, a system updating strategy for automatic data collection is introduced. Centrality measures are then utilized to identify key players, including hubs and brokers. Meanwhile, information sharing frequency (ISF) and association rule mining are introduced to discover collaborative patterns, that is, frequently collaborating users (FCUs) and associations between information flows and task levels. Finally, the proposed framework is validated and demonstrated in a large-scale project. The results show that key players, FCUs, and associations between information flows and task levels were successfully discovered, providing a deep understanding of collaboration and communication for decision-making processes. This research contributes to the body of knowledge by: 1) introducing ISF and Apriori-based association mining algorithm to identify FCUs and information flow patterns in collaboration; 2) establishing a new data-driven framework to map and analyze fine-grained collaborative networks automatically. It is also shown that people tend to form small groups to handle certain levels or types of tasks more efficiently. Other researchers and industrial practitioners may use this work as a foundation to further improve the efficiency of collaboration and communication.

Collaborative contribution networks and hotspot evolution in earthquake

The analysis of collaborative contribution networks and hot spots in earthquake research from a global perspective will reveal some rules and trends in this field that will provide references and macroguidance for scientific researchers in the field. With the help of data analysis software Excel and visualization software VOSviewer, this study mainly uses two methods of bibliometric and social network analysis to analyze 66,296 papers on the subject of “earthquake” collecting in Web of Science in 2009–2018 from multiple perspectives. In the past 10 years, scientific research output in the earthquake field has steadily increased year by year with an evident cross subject. The contribution of co-publishing is much higher than that of single publishing, and it has a higher number of citations and displays. Half of the 50 keywords with the highest frequency of co-occurrence are the continuation of hot spots in 1900–2010. The evolution of hot spots shows that in the average publishing year of 2013.5–2015.0, hot spots have changed from old to new, but few new hot spots have appeared in the past 2 years.

Knowledge mapping of computer applications in education using CiteSpace

AbstractThe education field plays a vital role in the growth and progress of society. In recent years, with the evolution of technology, a significant development has been observed in the publication of this field. Henceforth, a scientific review is required to explore computer applications in education using internet communication and technology (ICT) technologies. This paper analyzes the scientometric features of documents published from 2011 to 2020 in the education field using ICT. The research literature is retrieved from Scopus and CiteSpace is used to visualize network analysis of country collaboration, co‐citation, and keyword co‐occurrence. Here, the field of higher education is identified as an important area with increasing research trends. Higher education, such as engineering education with the application of ICT, has experienced the latest research trend, and it involves designing of frameworks for improving student performance and the teaching–learning process. The outcome of this paper is the identification of the research frontiers, hotspots, and the latest areas in the field of education, which will help to understand the overall development and future research directions.

Bibliometric and Visual Analysis of Research on the Links Between the Gut Microbiota and Depression From 1999 to 2019.

Background: There is a crucial link between the gut microbiota and the host central nervous system, and the communication between them occurs via a bidirectional pathway termed the “microbiota-gut-brain axis.” The gut microbiome in the modern environment has markedly changed in response to environmental factors. These changes may affect a broad range of host psychiatric disorders, such as depression, by interacting with the host through metabolic, immune, neural, and endocrine pathways. Nevertheless, the general aspects of the links between the gut microbiota and depression have not been systematically investigated through bibliometric analysis.Aim: This study aimed to analyze the current status and developing trends in gut microbiota research in the depression field through bibliometric and visual analysis.Methods: A total of 1,962 publications published between 1999 and 2019 were retrieved from the Web of Science Core Collection. CiteSpace (5.6 R5) was used to perform collaboration network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection.Results: The number of publications has been rapidly growing since 2010. The collaboration network analysis revealed that the USA, University College Cork, and John F. Cryan were the most influential country, institute, and scholar, respectively. The most productive and co-cited journals were Brain Behavior and Immunity and Proceedings of the National Academy of Sciences of the United States of America, respectively. The co-citation analysis of references revealed that the most recent research focus was in the largest theme cluster, “cytokines,” thus reflecting the important research foundation in this field. The co-occurrence analysis of keywords revealed that “fecal microbiota” and “microbiome” have become the top two research hotspots since 2013. The citation burst detection for keywords identified several keywords, including “Parkinson's disease,” “microbiota-gut-brain axis,” “microbiome,” “dysbiosis,” “bipolar disorder,” “impact,” “C reactive protein,” and “immune system,” as new research frontiers, which have currently ongoing bursts.Conclusions: These results provide an instructive perspective on the current research and future directions in the study of the links between the gut microbiota and depression, which may help researchers choose suitable cooperators or journals, and promote their research illustrating the underlying molecular mechanisms of depression, including its etiology, prevention, and treatment.