Direct Citation Networks Research Articles

Global trends in publications regarding macrophages-related diabetic foot ulcers in the last two decades.

Diabetic foot ulcers (DFUs) are one of the most severe and popular complications of diabetes. The persistent non-healing of DFUs is the leading cause of ampu-tation, which causes significant mental and financial stress to patients and their families. Macrophages are critical cells in wound healing and perform essential roles in all phases of wound healing. However, no studies have been carried out to systematically illustrate this area from a scientometric point of view. Although there have been some bibliometric studies on diabetes, reports focusing on the investigation of macrophages in DFUs are lacking. To perform a bibliometric analysis to systematically assess the current state of research on macrophage-related DFUs. The publications of macrophage-related DFUs from January 1, 2004, to December 31, 2023, were retrieved from the Web of Science Core Collection on January 9, 2024. Four different analytical tools: VOSviewer (v1.6.19), CiteSpace (v6.2.R4), HistCite (v12.03.07), and Excel 2021 were used for the scientometric research. A total of 330 articles on macrophage-related DFUs were retrieved. The most published countries, institutions, journals, and authors in this field were China, Shanghai Jiao Tong University of China, Wound Repair and Regeneration, and Aristidis Veves. Through the analysis of keyword co-occurrence networks, historical direct citation networks, thematic maps, and trend topics maps, we synthesized the prevailing research hotspots and emerging trends in this field. Our bibliometric analysis provides a comprehensive overview of macrophage-related DFUs research and insights into promising upcoming research.

Do the paper’s connections to existing work disclose its citation impact? A study based on graph representation learning

Influential scientific papers tend to be primarily based on combinations of prior works. However, assessing the potential impact of a new scientific paper remains a challenging task. In this article, we introduce an innovative framework to investigate the relationship between the embedding of citation networks and a paper’s future citation counts, based on the graph representation learning approach. First, we employ three Nobel Prize-winning topic papers from the Web of Science as our data source. Through data preprocessing and direct citation network modelling, we train the struc2vec model to obtain embeddings of papers’ citation network structure. Then, we perform visualisation and analysis on two types of networks. One is the direct-citation network, in which we identify four patterns of linkage between newly published papers and existing knowledge, and the other is the co-citation network, where we measure three structural variation indicators of new papers based on existing research findings. Finally, a statistical test is used to examine the predictive potentials of network embeddings. The results demonstrate that the structural features captured by the graph representation learning model can be used to predict a paper’s citation counts and impact. This article innovatively combines cluster analysis, visual analysis and statistical analysis to gain insights into the relationship between the hard-to-explain structural embeddings of newly published papers in a citation network and their future citations.

Regulatory Role of ECM Biophysical Signals on Cell and Nuclear Mechanics: A Bibliometric and Visualized Study

Bibliographic and visualization tools can be used to reveal information from a massive amount of literature data. A bibliographic search of original articles published in English in the Web of Science Core Collection (2013–2022) using the terms extracellular matrix (ECM), cell mechanics, and nuclear mechanics. We conducted a bibliometric analysis upon which we reviewed their focus, summarized present research, and identified trends in academic research using the Bibliometrix package in R Software and CiteSpace software. In this study, we examined the current state of collaborative research on the regulatory role of ECM biophysical signals in cell and nuclear mechanics. We also examined the top 20 authors to gauge their influence. An analysis of dual maps was also used to reveal the connections among several disciplines. Moreover, the historical direct citation network revealed how the content of such research changed over time. Furthermore, disciplinary burst analysis has highlighted the evolution of ECM biophysical signals in cell and nuclear mechanics studies over the past few years, while keyword density visualization has been used to pinpoint research hotspots. Researchers can utilize these results as a guide to explore topics or concentrate on a particular area of study.

The impact of land use on stream macroinvertebrates: a bibliometric analysis for 2010–2021

Changes in stream biodiversity are now mainly driven by land-use development. However, a literature review on the impact of land use on stream macroinvertebrates is lacking, especially a scientometric review. Here, we bibliometrically analyzed the literature on land use and stream macroinvertebrates that were published in 2010-2021 and listed in the Web of Science database. We found that the impact of land use on stream macroinvertebrates had been increasingly studied and that these studies were distributed across the globe and had multi-national collaborations. Through co-citation analysis and high-frequency keyword analysis, we found that land use and some environmental factors, especially water quality and habitat, affected macroinvertebrate community biodiversity, biotic integrity, and patterns. Macroinvertebrate traits, analytical methods or models, evaluation index development, and riparian vegetation were the research hotspots. Using historical direct citation network analysis, we also found that the analytical methods in this field and the macroinvertebrate evaluation index had clear development trends from 2010 to 2021. Our findings can help researchers quickly grasp the background of the impact of land use on stream macroinvertebrates and inform future research.

Mapping intellectual structure and research hotspots in the field of fibroblast-associated DFUs: a bibliometric analysis.

Diabetic foot ulcers (DFUs) are one of the most popular and severe complications of diabetes. The persistent non-healing of DFUs may eventually contribute to severe complications such as amputation, which presents patients with significant physical and psychological challenges. Fibroblasts are critical cells in wound healing and perform essential roles in all phases of wound healing. In diabetic foot patients, the disruption of fibroblast function exacerbates the non-healing of the wound. This study aimed to summarize the hotspots and evaluate the global research trends on fibroblast-related DFUs through bibliometric analysis. Scientific publications on the study of fibroblast-related DFUs from January 1, 2000 to April 27, 2022 were retrieved from the Web of Science Core Collection (WoSCC). Biblioshiny software was primarily performed for the visual analysis of the literature, CiteSpace software and VOSviewer software were used to validate the results. A total of 479 articles on fibroblast-related DFUs were retrieved. The most published countries, institutions, journals, and authors in this field were the USA, The Chinese University of Hong Kong, Wound Repair and Regeneration, and Seung-Kyu Han. In addition, keyword co-occurrence networks, historical direct citation networks, thematic map, and the trend topics map summarize the research hotspots and trends in this field. Current studies indicated that research on fibroblast-related DFUs is attracting increasing concern and have clinical implications. The cellular and molecular mechanisms of the DFU pathophysiological process, the molecular mechanisms and therapeutic targets associated with DFUs angiogenesis, and the measures to promote DFUs wound healing are three worthy research hotspots in this field.

Who and What is Driving Remote Working Research? A Bibliometric Study

In the light of the recent pandemic, remote working has become an inseparable part of our lives and a critical factor for many organizations. The article aims to review the last 10 years (2010–2020) of remote working research publications (in Business and Management Studies). We used a bibliometric analysis of 1,996 publications from the Web of Science. We created a conceptual structure map to describe core concepts of remote working research. We used the historical direct citation network to show the most important research. Based on our results, the USA, the United Kingdom and China are the leading countries. Results identified two historical areas of research—the first cluster connected by the topic of the multicultural dimension and the second cluster addressing issues of trust and communication, knowledge sharing, virtualness and leadership. The identified core concepts are organization and remote working capabilities, behaviour in remote working, consequences of remote working, management issues, home and gender. We conclude by summarizing the results of the bibliometric study into a theoretical framework for adaptation to remote working that will provide direction for future research and practical insights for policy and organizations.

How to interpret algorithmically constructed topical structures of scientific fields? A case study of citation-based mappings of the research specialty of invasion biology

Abstract Often, bibliometric mapping studies remain at a very abstract level when assessing the validity or accuracy of the generated maps. In this case study of citation-based mappings of a research specialty, we dig deeper into the topical structures generated by the chosen mapping approaches and examine their correspondence to a sociologically informed understanding of the research specialty in question. Starting from a lexically delineated bibliometric field data set, we create an internal map of invasion biology by clustering the direct citation network with the Leiden algorithm. We obtain a topic structure that seems largely ordered by the empirical objects studied (species and habitat). To complement this view, we generate an external map of invasion biology by projecting the field data set onto the global Centre for Science and Technology Studies (CWTS) field classification. To better understand the representation of invasion biology by this global map, we use a manually coded set of invasion biological publications and investigate their citation-based interlinking with the fields defined by the global field classification. Our analysis highlights the variety of types of topical relatedness and epistemic interdependency that citations can stand for. Unless we assume that invasion biology is unique in this regard, our analysis suggests that global algorithmic field classification approaches that use citation links indiscriminately may struggle to reconstruct research specialties.

Probiotic Use in Preterm Neonates: A Review and Bibliometric Analysis

Abstract Background: Necrotizing enterocolitis (NEC) is a major health burden in peterm neonates with mortality rates between 21% and 50%. Prophylaxis is of primary importance as early diagnosis is hindered by the lack of specific signs and laboratory markers. Although probiotics have been routinely used for NEC prophylaxis in neonatal intensive care units around the world, clinical trials provide contradictory data, which fuels an ongoing debate about their efficacy and safety. Aims: To perform a review and bibliometric analysis on available clinical trials and case reports data on the safety and efficacy of probiotics in preterm neonates and identify relevant publication trends and patterns. Methods: A bibliometric search for publications on the topic was performed in the Web of Science Core Collection database and the resulting records analyzed in bibliometrix package in R. Results: Trends in publication activity, historical direct citation network relationships and keyword co-ocurrences were discussed in the context of the most recent therapeutic recommendations. Conclusion: We took a round view of the potential drawbacks to probiotic use in preterm infants and their possible solutions.

O empreendedorismo é uma área emergente de pesquisa? Uma resposta computacional

Objective: We aim to answer four questions. First, with the increasing number of publications, is there a concentration in specific subjects, or on the contrary, a dispersion, amplifying the span of themes related to entrepreneurship? Second, is there a hierarchy of subjects, in the sense that some of them constitute the “core” of entrepreneurship? Third, are they connected with other established research areas? Finally, it is possible to identify papers that are influential, acting as hubs in the cluster’s formation? Method: We developed an original version of the computational procedure proposed by Shibata et al (2008), which allows us to understand the diversity of the different sub-areas of the topic investigated, reducing the need for specialist supervision. Originality / Relevance: We developed and applied a method to capture the formation and evolution of research areas in entrepreneurship literature, via direct citation networks, allowing us to understand the iteration between the different research sub-areas. Results: The dispersion is a feature of entrepreneurship as field research, with a hierarchy between research areas, indicating an emergent organization in the expansion processes. We concluded that research on entrepreneurship consists of specialization, that is, by application in niches.

Responsible Research and Innovation (RRI): Scientometric Analysis

Innovation and research in various fields should be done responsibly. In the last years, there is this responsibility towards different stakeholders. One of the most important stakeholders are the community and the society. In this context, the concept of social responsibility and social innovation has become very widespread. The purpose of this study was scientometric analysis of concepts in the field of responsible innovation and responsible research. R software has been used to achieve this purpose. In this study, by analyzing the information extracted from related articles (572 articles from Web of Science), the new concept of RRI and the network of researchers in this regard have been identified and analyzed. In this study, based on a systematic literature review (SLR) and scientometric methods, the evolution of the concept of “Responsible Research” and “Responsible Innovation” in the literature is investigated. Also, the selected articles identified by the SLR method from different textual dimensions regarding journals, collaboration network, co-citation network, collaboration worldmap, historical direct citation network, and emergence of new concepts are analyzed. The results of this study indicate the development of related concepts in the literature in recent years and indicate the need for further studies in this regard.

Trends in the Research Into Immune Checkpoint Blockade by Anti-PD1/PDL1 Antibodies in Cancer Immunotherapy: A Bibliometric Study.

The programmed death receptor 1 (PD1) and its ligand programmed death receptor ligand 1 (PDL1) are the most widely used immune checkpoints in cancer immunotherapy. The related literature shows the explosive growth trends due to the promising outcomes of tumor regression. The present study aimed to provide a comprehensive bibliometric analysis of the literature on anti-PD1/PDL1 from three perspectives including molecular mechanisms, randomized clinical trials (RCT), and meta-analysis, thus producing a knowledge map reflecting the status of the research, its historical evolution, and developmental trends in related research from 2000 to 2020. We included 11,971, 191, and 335 documents from the Web of Science Core Collection database, respectively, and adopted various bibliometric methods and techniques thereto. The study revealed the major research themes and emergent hotspots based on literature and citation data and outlined the top contributors in terms of journals and countries. The co-occurrence overlay of keywords and terms pertaining to the PD1/PDL1 molecule reflected the progress from the discovery of the PD1/PDL1 molecule to the clinical application of anti-PD1/PDL1. Immune-related adverse events (irAEs) formed a unique cluster in the term co-occurrence analysis of meta-analysis. The historical direct citation network of RCT indicated the development and transformation of cancers and therapy strategies. irAEs and the strategies of combination therapy might become a future focus of research in this cognate area. In summary, the bibliometric study provides a general overview of the landscape on anti-PD1/PDL1 research, allowing researchers to identify the potential opportunities and challenges therein.

Evaluation and Prediction of Trends in the Development of Scientific Research Based on Bibliometric Analysis of Publications

The article proposes an approach to analyzing and predicting the thematic evolution of research by identifying an upward trend in keywords. Statistical analysis of the vocabulary of publications allows us to trace the depth of penetration of new ideas and methods, which can be set by the frequency of occurrence of words encoding whole concepts. The article presents a developed method for analyzing research trends and an article ranking algorithm based on the structure of a direct citation network. Data for the study was extracted from the Web of Science Core Collection, 6696 publications were collected for the experiment over the period 2005—2016 in the field of artificial intelligence. To evaluate the proposed method, 3211 publications were collected from 2017 to 2019. As a result, the method was evaluated by checking the presence of predicted keywords in the set of the most frequent terms for the period 2017—2019 and provided an accuracy of 73.33 %.

Global publication trends and hotspots of molecular biomarkers in DILI from 1991 to 2020: A 30-year bibliometric analysis.

Drug-induced liver injury (DILI) is one of the common adverse drug reactions and the leading cause of drug development attritions, black box warnings, and post-marketing withdrawals. Current biomarkers are suboptimal in detecting DILI and predicting its outcome. This study aimed to quantitatively and qualitatively investigate the research trends on DILI biomarkers using bibliometric analysis. All relevant publications were extracted from the Web of Science database. An online analysis platform of literature metrology, bibliographic item co-occurrence matrix builder, and CiteSpace software were used to analyze the publication trends. CitNetExplorer was used to construct direct citation networks and VOSviewer was used to analyze the keywords and research hotspots. We found a total of 485 publications related to DILI biomarkers published from 1991 to 2020. Toxicological Sciences had been the most popular journal in this field over the past 30 years. The USA maintained a top position worldwide and provided a pivotal influence, followed by China. Among all the institutions, the University of Liverpool was regarded as a leader for research collaboration. Moreover, Professors Paul B. Watkins and Tsuyoshi Yokoi made great achievements in topic area. We analyzed the citation networks and keywords, therefore identified five and six research hotspot clusters, respectively. We considered the publication information regarding different countries/regions, organizations, authors, journals, et al. by summarizing the literature on DILI biomarkers over the past 30 years. Notably, the subject of DILI biomarkers is an active area of research. In addition, the investigation and discovery of novel promising biomarkers such as microRNAs, keratin18, and bile acids will be future developing hotspots.

Mapping graduate employability and career development in higher education research: a citation network analysis

ABSTRACT Greater attention than ever is being placed on how universities enable their graduates to achieve their career goals as a key return on significant private and public investment. Scholars in two distinct fields of research have explored the characteristics and conditions that promote or constrain graduates’ career success: graduate employability and career development. In this article, we present visualisations of direct citation networks among 4068 journal articles focused on graduate employability and career development and consider the disciplinary landscapes that they reveal. Our findings show that despite a clear alignment of research concerns and educational goals, there has been limited theoretical or practical exchange between the two fields. We argue that purposeful exchange between the two fields will enrich both and, when applied to practice, could inform an evidence-based, integrative pedagogy of careers and employability learning in higher education.

Global research trends in complex oral sensitivity disorder: A systematic bibliometric analysis of the structures of knowledge.

A systematic bibliometric analysis of the structure of knowledge was performed to investigate the co-word analysis, the co-citation analysis, and the social network analysis regarding complex oral sensitivity disorder (COSD). Web of Science database from 1985 to 2018 was systematically searched to identify all relevant articles using the MeSH terms "complex oral sensitivity disorder" and all synonyms used in the literature. We included original articles, review articles, letters to the editor, and book chapters in the English language and in 27 different ISI categories of medical sciences. Several bibliometric indicators were used. The co-word analysis identified 741 KeyWords Plus (KWP) grouped into 4 different clusters. The terms "pain," "management," "prevalence," and "efficacy" reached the highest centrality, whereas the top 10 KWP had a frequency of 7%-29% in 443 articles. Over a period of 32years, a complex thematic evolution occurred, going from 2 to 6 different themes, and the KWP migration rate from one cluster to another ranged from 11% to 100%. The co-citation network analysis based on the complete reference list (5932 references) of 443 articles identified only 2 clusters for journals, authors, and articles. The most prominent co-cited journal was "Oral Surgery Oral Medicine Oral Pathology" (centrality: 171.75), the most co-cited author was "Grushka M" (centrality: 330.95), and the most co-cited article was "Grushka M. Oral Surg Oral Med Oral Pathol (1987) 63:30-36" (centrality: 269.79). On the other hand, the direct citation network revealed that "Scala A et al, 2003" reached both the highest global citation score (GCS=231) and local citation score (LCS=161). Lastly, the social network analysis revealed an isolated collaboration among groups of authors, or countries or institutions. The worldwide collaboration analysis indicated that United States-Israel and United Kingdom-Italy were the most collaborative countries. The structure of knowledge of publications on COSD revealed that research in this field has been dominated by few core topics and a limited collaboration among authors and institutions from different countries. More multicenter studies on COSD are warranted in the near future when launching new projects.

Technology-enhanced learning in higher education: A bibliometric analysis with latent semantic approach

Technology-enhanced learning (TEL) describes information and communication technology applications as enhancing the outcomes of teaching and learning. Its adoption in higher education is an innovation as well as a disruption to conventional learning mechanisms. To further understand its development from the perspective of academic communities, a hybrid bibliometric approach that combines both direct citation network analysis and text analytics was proposed to examine the related research articles retrieved from the Web of Science database. In addition to visual analytics on the TEL research, a direct citation network approach with cluster analysis was used to delineate the historiographic development of the TEL research domain in higher education. Among the top internally cited articles, five main streams of TEL development were identified, namely adoption, critique, social media, podcasting, and blended learning. Then, the accumulated state of knowledge was summarized by highlighting the essential subgroup topics in each stream with latent semantic analysis. The extraction of the key features of the research domain by the proposed hybrid approach, including the principal streams of development, associated subgroup topics, and a critical article list, contributes a comprehensive method to enable the rapid understanding of the overall research development of the TEL in higher education.

Bibliometric analysis of scientific production on sharing economy

Purpose In recent years, much has been discussed about new consumer practices based on the sharing economy. In this context, the purpose of this paper is to map out the international scientific production on sharing economy. Design/methodology/approach The research adopted a descriptive qualitative approach. Based on a sample of 95 documents collected in the Scopus database, analyses of bibliometric and sociometric indicators were carried out, as well as content analyses were conducted to identify the main thematic categories in the field. Findings The results show that sharing economy is an emerging topic, and of late, the research in this field has grown rapidly. The study provides a mapping of top journals and authors, works of greatest impact and of co-authorship, co-citation and bibliographic coupling networks, which evidence the low intensity of researcher’s interactions and scientific production dispersion in the field. The main subjects found in the sharing economy literature are determinants, motivations and barriers, sharing economy impacts, regulation, models and frameworks, critical approach and entrepreneurship and sharing-based new businesses. Research limitations/implications The analyses did not take into account the timing perspective. Further research could undertake a timeline-based approach in order to present direct citation networks and to relate works according to the year when they were published. Originality/value The study innovates by identifying the main subjects in the sharing economy literature, as well as by presenting network analysis for some bibliometric indicators, complementing previous research in the field.

Building direct citation networks

Citation networks are the basis for main path analysis (MPA), which has become an important tool in bibliometric studies. MPA can be used to map the main body of work of a scientific field, highlighting its most important literature and chronological evolution. Its uses goes from surveying the state of the art of a given subject to selecting study material for new research. MPA is conducted on a citation network and there is a well established literature accounting for methods of finding the most relevant paths. However, the details of how the citation network is actually built are not richly described in the specialized literature. Manually relating the available references of a given field would prove to be a difficult task. Given this context, we propose an automatic method, providing a simple algorithm for building citation networks with computer implementations and preventing cyclic paths. The algorithm is built quantitatively and is applicable to studies on the mechanisms of any science field. As an example, we go through every proposed step to select the papers which constitute the main path of the literature on forecasting stock prices using machine learning techniques.

Assessment of the harmonic distortion in residential distribution networks: literature review

Harmonic distortion in residential distribution networks is increasing due to the penetration of multiple nonlinear loads, including modern technologies such as plug-in electric vehicles and energy efficient lighting (e.g., compact fluorescent and LED lamps). The distributed nature of these loads introduces complexity in the analysis of harmonic propagation. Therefore, more sophisticated tools are needed to investigate this issue, on the basis of formerly established methodologies. This paper presents a literature review on the assessment of the harmonic distortion in residential distribution networks. To that end, bibliographic data of the most representative publications related to the topic were obtained. From these data, a novel citation analysis method was developed to construct a chronologically organized direct citation network. Based on the temporal evolution of the citation network, the aforementioned issue is presented, identifying lines of research and proposed methodologies. From the analysis of the literature review, the stages for modeling and simulating harmonic propagation are identified and described. The principal aspects to be addressed for obtaining an accurate harmonic analysis are also identified and detailed, namely, harmonic interaction, diversity, unbalance, and uncertainty. Finally, main conclusions are highlighted.

Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks

This study assesses the knowledge-building dynamics of emerging technologies, their participating country-level actors, and their interrelations. We examine research on induced pluripotent stem (iPS) cells, a recently discovered stem cell species. Compared to other studies, our approach conflates the totality of publications and patents of a field, and their references, into single “techno-scientific networks” across intellectual bases (IB) and research fronts (RF). Diverse mapping approaches—co-citation, direct citation, and bibliographic coupling networks—are used, driven by the problems tackled by iPS cell researchers. Besides the study of the field of iPS cells as a whole, we assessed the roles of relevant countries in terms of “knowledge exploration,” “knowledge nurturing,” “knowledge exploitation,” and cognitive content. The results show that a fifth of nodes in IB and edges in RF interconnect science (S) and technology (T). S and T domains tell different, yet complementing stories: S overstresses upstream activities, and T captures the increasing influential role of application domains and general technologies. Both S and T reflect the path-dependent nature of iPS cells in embryonic stem cell technologies. Building on the feedback between IB and RF, we examine the dominating role of the United States. Japan, the pioneer, falls behind in quantity, yet its global influence remains intact. New entrants, such as China, are advancing rapidly, yet, cognitively, the bulk of efforts are still upstream. Our study demonstrates the need for bibliometric assessment studies to account for S&T co-evolution. The multiple data source-based, integrated bibliometric approaches of this study are initial efforts toward this direction.