Term Co-occurrence Research Articles

Anti-Cancer Drugs: Trends and Insights from PubMed Records

Background: In recent years, there has been an exponential growth in global anti-cancer drug research, prompting the necessity for comprehensive analyses of publication output and thematic shifts. Methods: This study utilized a comprehensive set of PubMed records from 1962 to 2024 and examined growth patterns, content classification, and co-occurrence of key pharmacological and molecular terms. Results: Our results highlight an exponential rise in publications, with an annual compound growth rate of over 14%, influenced by advancements in digital knowledge sharing and novel therapeutic breakthroughs. A pronounced surge occurred during the COVID-19 pandemic, suggesting a sustained shift in research dynamics. The content analyses revealed a strong emphasis on classical chemotherapeutic agents—often studied in combination with targeted therapies or immunotherapies—and a growing focus on immune checkpoint inhibitors and vaccine platforms. Furthermore, co-occurrence networks indicated robust links between chemotherapy and supportive care, as well as emerging synergies between immuno-oncology, precision medicine approaches. Conclusions: Our study suggests that while novel modalities are reshaping treatment paradigms, chemotherapy remains central, underscoring the value of integrative regimens. This trend toward personalized, combination-based strategies indicates a transformative era in oncology research, where multidimensional data assessment is instrumental in guiding future therapeutic innovations.

Trends and Connections in Studies on Access to Justice in Forest Regions: A Bibliometric and Content Analysis

Objective: This study aimed to characterize the academic production on access to justice in forest regions, using a bibliometric and content analysis approach. It sought to identify the main trends and gaps in the literature, as well as the predominant approaches in the analyzed studies. Method: The research used the Web of Science, ScienceDirect, Scopus, and Scielo databases to collect scientific articles, applying bibliometric techniques and content analysis. The data were analyzed using the VOSviewer and Iramuteq software, allowing the identification of patterns, term co-occurrence networks, and the main thematic focuses of the studies. Results and Discussion: The findings indicate that the literature on access to justice in forest regions focuses on a specific population inhabiting these areas, particularly Indigenous peoples, and does not establish connections with other traditional communities, such as riverine populations, quilombolas, and agro-extractivists. Additionally, an explicit alignment with Sustainable Development Goal (SDG) 16 of the UN 2030 Agenda was found to be absent, representing a gap in the research. Research Implications: Os resultados deste estudo apresentam implicações para o contexto teórico e também para o ponte de vista pratica ao fornecer informações sobre uma tema ainda não explorado oferecendo isights para o contexto no que diz respeito ao acesso a justiça aos povos da floresta. Originality/Value: The research highlights gaps in the literature on access to justice in forest regions, the need to include other traditional communities in addition to indigenous peoples and the importance of alignment with SDG 16 to strengthen more inclusive public policies.

Towards Andrographolide as Antimalarial: A Systematic Review

Antimalarial resistance remains a problem in malaria elimination programs worldwide. Andrographolide is a labdane diterpenoid extracted form Andrographis paniculata that introduced as a new antimalarial agent, but its potential to prevent resistance must be elaborated to mitigated risk of resistance. This systematic review aimed to analyze the potential of andrographolide to prevent plasmodium resistance. A systematic review was made by comprehensive searching in several database such as PubMed, Google scholar, Science direct with keyword: andrographolide, malaria, plasmodium, resistance, review with several method of study includes in vivo, in vitro, in silico and randomized control trial. We mapped research development of andrographolide to be antimalarial agent using Vos viewer to extract co-occurrence terms that related to andrographolide as antimalarial. Based on PRISMA results, 35 articles meet criteria. Type of andrographolide and its derivative use as treatment, type of study, control, analytical method and result of mechanism of action was compiled within the review table. Andrographolide effective as antimalarial agent, its mechanism includes suppressing parasite numbers, suppressing the inflammatory response in malaria, prevent detoxifying heme, immunomodulating host cells, potent antioxidant, and inhibiting enzymes that play a role in parasite invasion. Further research of andrographolide to prevent antimalarial resistance in Plasmodium must investigated deeply.

Immediate Implant and Loading Approaches: Analysis from a Bibliometric Perspective.

This study aims to analyze the use of immediate implant and loading techniques in dentistry through bibliometric methods, evaluate the publication and citation trends in this field, and identify the most influential studies. The WoS Core Collection database was used as the bibliographic source, and a search strategy was applied to identify relevant research articles. Bibliometric assessments were conducted using Bibliometrix software. These analyses determined the collaboration networks of authors, keywords, and publications, and research trends were identified using co-occurrence and co-citation analyses. The total number of publications peaked between 2010 and 2015. Citation numbers followed a similar trend, peaking in 2008 and becoming more prominent after 2020. Journals such as "International Journal of Oral Maxillofacial Implants", and "Clinical Oral Implants Research" are leading in the field of dental implantology, and authors like Esposito M., Covani U., and Piattelli A. are among the most productive in the field. The United States and Italy are among the leading countries in research in this area. Co Occurrence Network Analyses, Term Co-Occurrence Map Analysis, and Co-citation Analysis Network have revealed the study and application trends, topics in implantology research, and the dynamics of this scientific field. This bibliometric analysis demonstrates that studies on immediate implants and loading techniques represent a broad and continually evolving scientific field, offering potential collaborations and research directions for future researchers.

Bibliometric study of research in aeronautics, cyberspace, and space exploration for the Colombian Aerospace Force

This bibliometric study addresses the dynamics of publication in three thematic areas relevant to the development of the aerospace sector of the Colombian Aerospace Force, such as aeronautics, space, and cyberspace. The aim is to identify the thematic trends and research emphases published in 2000-2023 and made visible in the Scopus database. The information was analyzed globally and for short intervals with tools such as VoSviewer, identifying thematic clusters based on the co-occurrence of terms and trends of emphasis in different topics. A transition towards multidisciplinary and technologically advanced approaches in aeronautics, cyberspace, and space exploration was evidenced, highlighting their impact on improving research and development practices and strategies within these critical fields.

Future research topic prospect dealing with “flood severity” term: A systematic literature review

Most recent flood prediction studies focus on the probability and frequency of a flood at a specific location or flood vulnerability prediction. However, their results often lack flood magnitude or severity information. Therefore, severity levels are highly imperative for further research in floods, such as their mapping and prediction. This study has involved various stages, such as developing the literature selection protocol in obtaining the expected papers, searching the literature by protocol implementations, and results interpretation. The search results were 537 articles; the selected rigorously peer-reviewed articles were then bibliometrically analyzed. The limited flood severity-related research was proven by the ?severity? term detected in fewer than five terms. Recommendations of flood severity-related research can be categorized into seven clusters based on the term co-occurrences. Those clusters consist of: 1) urban flood, 2) flood disaster management, 3) adaptability and prediction, 4) land use and urban planning, 5) natech and mitigation, 6) climate change, and 7) ecosystem services and resilience. There is a research gap in geographical terms for several countries classified as the world?s top 10 at risk of flood, such as China, India, Bangladesh, Indonesia, Pakistan, and others. The urgent prior research guidelines are to trigger further future research on flood severity levels. Future research recommendations will give better contribution and consideration to flood risk management rather than merely vulnerability zonation as they also imply the possible impacts of predicted floods.

Reflections on microbial genetic resources in agricultural systems.

Reflections on microbial genetic resources in agricultural systems.

Estrutura intelectual da autonomia profissional dos enfermeiros na literatura latino-americana: estudo bibliométrico

Abstract Objective: Map the intellectual structure on the professional autonomy of nurses in the scientific literature in journals indexed in the Latin American and Caribbean Literature in Health Sciences. Method: Bibliometric study conducted with articles indexed in LILACS, from 2012 to 2022, adopting the co-occurrence analysis of descriptors extracted from the articles' metadata using the VOSviewer® software. Results: The map consists of 70 co-occurring terms five times or more, distributed in seven clusters. The intellectual structure regarding the professional autonomy of nurses is related to the thematic fields: professional practice, nurses, health education, primary health care, education, ethics, and the history of nursing. Conclusion: Professional autonomy relates to the training and practice of the profession; it is contextualized in various scenarios of practice and health care, influenced by the organization and repercussions on working conditions and relationships, and it touches on the process of training and education.

Text Retrieval in Restricted Domains by Pairwise Term Co-occurrence

Text similarity calculation by text embeddings requires fine-tuning of the language model by a large amount of labeled data, which may not be available for small text collections in their specific knowledge domains, in particular, in public organizations. As an alternative to machine learning, this research proposes pairwise term co-occurrence within plain-text matching, i.e., the query and the document share co-occurrences of two terms in a text span. In the entire document, the co-occurrences form the context that affects a term. This is analogous to a contextual word embedding, except our context affects the importance, not the meaning, of the term. Pairwise term co-occurrence has been applied in three text similarity calculation methods: term-pair-based text similarity, BM25 with term weights enhanced by pairwise term co-occurrence, and likewise enhanced cosine similarity. The three methods were evaluated for retrieval of four text types – email messages, web articles, fill-in forms, and brochures from a public organization – by having the first three as queries. Pairwise term co-occurrence performed on par with or better than BERT sentence embeddings without fine-tuning the BERT language model. With some text types, pairwise term co-occurrence outperformed bag-of-words matching by as much as 29.44 (MAP) and 31.71 (P@1) percentage points. Pairwise term co-occurrence can fill a niche by improving text similarity calculation where supervised machine learning is difficult to carry out.

An Overview of Linguistics and Education: A Bibliometric Analysis

This study attempts to identify the main linguistic education topic that is an overview on linguistics and education: A bibliometric analysis from 2015 to 2023. It employed a quantitative method with a bibliometric literature review. The 309 documents (48 papers, 218 articles, and 43 scientific papers) maintained in the Mendeley applications formed the source of the research data. This study took the data from Google Scholar to obtain some researches related to the topic by using Public or Perish application. VOS viewer software was applied for the bibliometric analysis of the data. Numerous publications, citation analysis, and the visualization of term co-occurrence patterns are all part of this research. The results of data analysis indicate that the three different kinds of documents considered in this study are distributed as follows: articles (n = 262) made up 85% of the total number of documents, followed by proceeding papers (n = 5) with 2% and books (n = 42) with 13%. A total of 716 keywords, beginning with 309, were discovered. The analysis of the different clusters revealed development of a methodology known as systemic functional linguistics.

Understanding the Relationship Between Digital Transformation in Industry and ODS 9 Through the Lens of Bibliometrics

Objective: The objective of this study was to analyze the relationship between digital transformation in industry and Sustainable Development Goal (SDG) 9. Theoretical Framework: This study was based on concepts related to digital transformation in the context of industry, in relation to sustainability and specifically SDG 9, which were adopted in the discussion of the results generated. Method: The study adopted a bibliometric approach as its main method, using VOSviewer software to carry out analyses of the co-occurrence of terms, density clusters and mapping of collaboration between countries, using data from the Web of Science scientific database. Results and Discussion: The results indicated five main thematic groups, in which terms related to sustainability, technological adaptation and digitalization stand out, which have proved crucial in promoting a sustainable industry. Research Implications: The practical and theoretical implications suggest that digital transformation can drive sustainable industrialization, with an impact on sectors such as energy and construction, indicating the need for policies to encourage sustainable innovation. Originality/Value: This study contributes by highlighting how digital transformation, especially in industries, can support sustainable development, offering a new perspective on the impact of digital technologies on industrial sustainability.

The The Peruvian Herb with Global Reach: A bibliometric Analysis of Lepidium meyenii (maca) Research from 2013 to 2024

This analysis explored the global research trends of Lepidium meyenii (maca) for the last ten years, using bibliometric methods, and explore international collaborations, the evolution of active topics and emerging trends. We utilised various methodologies on the SCOPUS database such as keyword co-occurrence and co-authorship analysis to identify the most influential authors, institutions, and countries, along with the most cited publications in this field. We used Bibliomagika 2.2 and Bibliomagika 1.5 Split for frequency analysis, as well as VOSviewer for data visualization. We also delved into the co-occurrence of different terms connected to Lepidium meyenii (maca) and author keywords within the specified time period. A total of 313 publications were identified, with the most published in 2022, revealing an upward trend in the past decade. China (223 publications) emerged as the leading country in maca research, and the preeminent journal in this field was identified as Andrologia (15 publications). The analysis of keyword co-occurrence highlighted key thematic clusters, with "Lepidium meyenii (maca)," "herbal medicine," "macamides," "antioxidant," and "medicinal plants" as the most prevalent author keywords. Our findings suggest the global reach of Lepidium meyenii (maca) and offer insights into research patterns, the contributions of different countries, influential authors, and active journals. This data serves as a tool for researchers to identify future directions of research in this field.

THE RESEARCH PRODUCTIVITY OF BATIK GREEN MATERIALS

Objective: This study aims to analyze the utilization of green materials in the batik production through the research productivity. Methods: It will determine research trends, institutional partnerships, and significant contributors in this subject by using bibliometric methodologies. It will also examine frequently used keywords, article citation networks, and popular study topics. Results: The results is the batik green materials research is still relatively new to be done. The initiation of this research itself began to be indexed by Scopus since 2012 and until 2022 there are 9 related documents. The dominant type of document is conference paper with 8 documents or 88.9%. The productive year for sustainable technology for batik research is 2020 with 4 documents. While the dominant publication source is the op Conference Series Earth And Environmental Science with 5 documents. The only country with publication related to the batik green materials research topic is Indonesia with 9 documents. Conclusion: Related to the development map in batik green materials research based on the terms co-occurrence obtained, two dominant terms were found, namely green manufacturing and methane. So that in the future batik green materials research can be carried out on different topics such as the theme of sustainable batik industry of dye, sustainable and environmentally friendly dyeing techniques, and other themes that are still related to the topics.

Artificial intelligence and marketing strategies. A bibliometric perspective

In a context of digital transformation, the integration of new technologies has become essential for companies. The interdependence between artificial intelligence (AI) and marketing strategies (MS) is recognized as revolutionizing the way companies interact with customers and achieve results. Therefore, the purpose of this paper is to explore the synergy between AI and MS by conducting a bibliometric analysis in order to highlight the current structure of studies and future research direction in this field. The research included a bibliometric analysis of 134 articles retrieved from the Web of Science (WOS) database. The scientific content of these articles was analysed in the VOSviewer software program, considering descriptive analysis and conceptual and social scientific mapping. The results included a quantitative analysis of the main categories of publications, their evolution over time, including by country, as well as analyses of term co-occurrence and co-authorship. The main countries according to the number of annual publications are the United States of America, England, China, India, Australia, and the main field covered, according to WOS references, is the field of "Business". As a result, the research confirmed the significant interdependence between AI and MS, as well as its complexity and especially its implications for organizations. In this regard, the need for future collaborative and interdisciplinary approaches is noted, with the bibliometric analysis provided in this paper as a starting point for future research directions.

Human rights and social justice in Quranic contexts: a global trend

Scholarly interest in the study of social justice and human rights in Quranic contexts has increased in light of global conversations about ethical governance, equality, and justice. To fully comprehend how Islamic texts contribute to current human rights discourses, this study aims to present a bibliometric analysis of key trends, authors, and themes in the literature surrounding these problems. Using R/R-Studio, Vosviewer, Microsoft Excel, and a Boolean search on Scopus, data from 2019 to 2024 is analysed to identify important trends, authors, affiliations, and thematic developments within these interconnected disciplines. The results show a wide range of research interests and substantial publication activity with noteworthy contributions from different nations and institutions. Network visualisations highlight the transdisciplinary nature of the discourse by illuminating the relationships and co-occurrences of important terms. This study offers important insights into the development of scholarly research on these important subjects, laying the groundwork for further research and educating practitioners and politicians on the relationship between social justice, legal doctrine, and religious texts.

Deciphering Digital Discourse: Detecting Cyberbullying Patterns in Filipino Tweets Using Machine Learning

The research addresses the escalating challenge of cyberbullying in the Philippines, a concern magnified by widespread social media use. A dataset of 146,661 tweets is analyzed using a pre-trained natural language processing model tailored to detect derogatory Filipino terms. The methodology is designed to preprocess data for clarity and analyze derogatory phrases, using the 23 key terms to indicate cyberbullying. Through quantitative analysis, specific patterns of derogatory term co-occurrence are uncovered. The research specifically focuses on Filipino digital discourse, uncovering patterns of derogatory language usage, which is unique to this context. Combining data mining and machine learning techniques, including Frequent Pattern (FP)-growth for pattern identification, cosine similarity for phrase correlation, and classification technique, the research achieves an accuracy rate of 97.91%. To assess the model’s reliability and precision, a 10-fold cross-validation is utilized. Moreover, by examining specific tweets, the analysis highlights the alignment between automated classifications and human judgment. The co-occurrence of derogatory terms, identified through methods like FP-growth and cosine similarity, reveals underlying cyberbullying narratives that are not immediately obvious. This approach validates the high accuracy of the models and emphasizes the importance of a comprehensive framework for detecting cyberbullying in a linguistically and culturally specific context. The findings substantiate the effectiveness of the targeted approach, providing essential insights for developing cyberbullying prevention strategies. Furthermore, the research enriches the literature on digital discourse analysis and online harassment prevention by addressing cyberbullying patterns and behaviors. Importantly, the research offers valuable guidance for policymakers in crafting more effective online safety measures in the Philippines.

Bibliometric Analysis of the International Journal in Wood Science Using Visualization Mapping Method

This study aims to reveal the bibliometric profile of documents in an international journal in the field of wood science. For this purpose, Drvna Industrija journal was chosen as the journal and two bibliometric methods were used: performance analysis and science mapping. Within the scope of performance analysis, the publication trends of the journal, the most cited articles, the most productive countries, organizations and authors were determined with the help of data obtained from the Web of Science database on February 01, 2024. With the mapping method, a graphic version of co-authorship, citation, bibliographic coupling, co-occurrence of authors' keywords, co-occurrence of terms in the abstract field and co-citation were obtained. Vosviewer software was used to visualize the data. The scope of the study consisted of 633 documents published in the Drvna Industrija journal between 2008 and 2023. Based on the data obtained, the highest number of documents was published in 2016. Authors from 49 different countries and 6 continents contributed to the journal. When the cooperation of the countries was examined, the countries that cooperated the most with other countries were Turkey and Slovenia. The organization that contributed the most to the journal was the University of Zagreb, and it was determined that this university had the strongest bibliographic coupling network with Mendel University in Brno. The majority of the studies in the journal were conducted as a result of team research. It has been observed that Bioresources is the source that cites Drvna Industrija journal the most, and the self-citation rate of the journal is also quite high. 2024 different keywords were used in the journal, and the most used keyword is wood. Trending topics in Drvna Industrija journal are heat-treated wood, artificial neural network, oriented strand board and decay resistance, in recent years. Finally, the most frequently used co-occurrence of term in the abstract field of documents in the journal was the paper term. Therefore; this research is a study that provides an overview of the leading trends and researchers of the journal during the period under review.

An Overview on MADS Box Members in Plants: A Meta-Review.

Most of the studied MADS box members are linked to flowering and fruit traits. However, higher volumes of studies on type II of the two types so far suggest that the florigenic effect of the gene members could just be the tip of the iceberg. In the current study, we used a systematic approach to obtain a general overview of the MADS box members' cross-trait and multifactor associations, and their pleiotropic potentials, based on a manually curated local reference database. While doing so, we screened for the co-occurrence of terms of interest within the title or abstract of each reference, with a threshold of three hits. The analysis results showed that our approach can retrieve multi-faceted information on the subject of study (MADS box gene members in the current case), which could otherwise have been skewed depending on the authors' expertise and/or volume of the literature reference base. Overall, our study discusses the roles of MADS box members in association with plant organs and trait-linked factors among plant species. Our assessment showed that plants with most of the MADS box member studies included tomato, apple, and rice after Arabidopsis. Furthermore, based on the degree of their multi-trait associations, FLC, SVP, and SOC1 are suggested to have relatively higher pleiotropic potential among others in plant growth, development, and flowering processes. The approach devised in this study is expected to be applicable for a basic understanding of any study subject of interest, regardless of the depth of prior knowledge.

Bibliometric analysis of scientific production on university social responsibility in Latin America and the Caribbean.

Objective: To evaluate the scientific production on university social responsibility (USR) from institutions in Latin America and the Caribbean. Methods: A bibliometric analysis was conducted on documents published in indexed journals in the Scopus database from its inception until April 2023. Eligible documents included those on USR describing experiences carried out by universities in Latin America and the Caribbean. The number of articles per author, average authors per article, average citations per article, and the number of documents with one or more author were described. Bibliometric indicators regarding authors per article, co-authors per article, and institutional collaboration were presented. Bibliometric networks were constructed based on bibliographic coupling analysis of documents by countries and term co-occurrence in titles and abstracts. Results: Of a total of 4075 documents retrieved from Scopus, 150 were included. Documents published between 1997 and 2023 were identified, with an average annual growth rate of 2.7%. A total of 439 authors were identified, 18 articles had a single author, and an average of 0.3 articles per author and a co-authorship index of 3.13 were found. The percentage of international collaborations was 30.7%. Brazil had the highest proportion of publications (26.4%), followed by Chile (17%) and Colombia (13.2%). Opción and Revista de Ciencias Sociales were the journals with the highest number of articles published (13 each). In the analysis of term co-occurrence, recent years showed an increase in the use of terms related to e-learning, information and communication technologies, virtual education, COVID-19, sustainable development goals, and URSULA (initiative on USR in institutions in Latin America and the Caribbean). Conclusions: A growth in scientific production on USR in Latin America and the Caribbean was identified. The interest in USR documents in recent years has been focused on COVID-19 and the challenges of virtual education and sustainable development.

Bibliometric Analysis on Rural Non-farm Sector: Study on Scopus Database During 1990-2022

The rural non-farm sector is increasingly playing an essential role in the development of rural areas around the world. Specifically, as agriculture in the region's contribution to the economy declines, the rural non-farm sector will need to increasingly become a significant provider of employment and income to many rural people. However, rural non-farm employment is not a substitute for employment in agriculture but rather an additional measure. Promoting the rural non-farm sector should be undertaken within the border context of rural development. Bibliometric analysis is a rare contribution to the field of Rural Non-Farm research. Therefore, a bibliometric analysis of the publications may provide a direction for future research and a detailed topic analysis. The global literature about Rural Non-Farm published between 1990 and 2022 was scanned from the Scopus database. The keywords used to get the relevant publications are given as "Rural" AND "Non-Farm" in the search criteria "Article Title, Abstract, Keyword". A total of 1135 papers were chosen for this study to conduct bibliometric analysis. VOSviewer is used to carry out the bibliometric analysis. VOS viewer software was used to create maps based on network data of scientific publications displaying relationships among researchers, countries, and scientific journals. Author keywords are used to explore the co-occurrence of different terms connected to rural non-farm research. Results reveal close and robust interconnections between the top authors, suggesting a solid research link. "Poverty", "Agriculture" "Rural Development", and "non-farm employment" are the keywords the authors most repeatedly use. "World Development" Journal has the highest number of citations (2607) with a total link strength of 172. The United States and India have the highest number of articles in the Rural Non-Farm Sector. This study on Rural Non-Farm would help future researchers gain significant insights into the current status of existing literature and assist in conducting a qualitative literature review.