{"title":"Assessment of ResearchGate to Unfurl the Academic Pursuits of Physics Scholars","authors":"Mohammad Haris, P.M. Naushad Ali, Priya Vaidya","doi":"10.5530/jscires.12.2.045","DOIUrl":"https://doi.org/10.5530/jscires.12.2.045","url":null,"abstract":"The present study intends to explore the overall research performance/engagement of the faculty members on the ResearchGate from the Physics discipline working at Indian Central Universities. The analyzed data revealed that 473 faculty members were found, but only 361 (i.e., 76.32%) have their profile on ResearchGate. Further analyses include the distribution of RG metrices which indicated that 98.89% and 98.06% of the faculty members had added at least one research item and at least one full-text research item over the RG, respectively. The findings stated that Kriti Ranjan from the University of Delhi secured highest ranking across all metrices, except followers and followings. The mean value for the Reads and Citations were found to be 27525.59 (std. dev. = 163029.86) and 1555.2 (std. dev. = 5838.76), respectively. In addition, RI Score exhibits a strong positive correlation with other RG-based metrices excluding the ‘following’. This study can be considered the only ResearchGate analyses that has included the working researchers of the Physics discipline by analyzing their research engagement and active presence over it.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"302 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74889950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping of Heavy Metal Pollution in River System: A Scientometric Approach","authors":"Ranju Sharma, Lata Kumari","doi":"10.5530/jscires.12.2.030","DOIUrl":"https://doi.org/10.5530/jscires.12.2.030","url":null,"abstract":"Bioaccumulation and biotransformation of heavy metals cause serious pollution in aquatic ecosystems. This has attracted widespread attention to its negative effect on ecological and human health. In recent years, several studies have been done in this area. Among all the heavy metals, Cadmium (Cd) and lead (Pb) have been widely reported for their toxic effect. However, detailed research activity on these two pollutants in aquatic ecosystems has not been mapped. It is important to capture the key topics and domains in which research is happening. The present study attempts to address this gap. A detailed Scientometrics study was undertaken to capture the heavy metal pollution in river systems. The 33,414 research papers were identified from a topic search covering the period 2010 to 2021 from the ‘web-of-science’ database. The social network analysis approach was used for understanding the structure and dynamics of the research. The study identifies the following as major nodes in the network constructed from author keywords assigned to the research papers namely heavy metal (primarily lead, cadmium), bioremediation, carbon nanotube, and sequential extraction. The thematic areas were identified as ecological risk, adsorption, atmospheric deposition, and potential ecological risk as major domains of research namely. The study has implications for research assessment and alerting the community and policymakers to the concerns about the adverse effect of these metals on aquatic ecosystems.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"68 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86092107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"South Asian Science Diplomacy in a Nutshell","authors":"Anup Kumar Das","doi":"10.5530/jscires.12.2.049","DOIUrl":"https://doi.org/10.5530/jscires.12.2.049","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"23 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82532218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atul Kumar, Jaiprakash M. Paliwal, Vinaydeep Brar, Mahesh Singh, Prashant R Tambe Patil, S. Raibagkar
{"title":"Previous Year’s Cite Score Strongly Predicts the Next Year’s Score: Ten Years of Evidence for the Top 400 Scopus-indexed Journals of 2021","authors":"Atul Kumar, Jaiprakash M. Paliwal, Vinaydeep Brar, Mahesh Singh, Prashant R Tambe Patil, S. Raibagkar","doi":"10.5530/jscires.12.2.020","DOIUrl":"https://doi.org/10.5530/jscires.12.2.020","url":null,"abstract":"Over the last few years, CiteScore has emerged as a popular metric to measure the performance of Journals. In this paper, we analyze CiteScores of the top 400 Scopus-indexed journals of 2021 for years from 2011 to 2021. Some interesting observations emerged from the analysis. The average CiteScore of the top 400 journals doubled from 16.48 in 2011 to 31.83 in 2021. At the same time, the standard deviation has almost trebled from 13.53 in 2011 to 38.18 in 2021. The CiteScores also show sizable increases for skewness and kurtosis, implying major variations in the CiteScores of the journals for a year. Importantly, the previous year’s CiteScores strongly predict the next year’s scores. This has been observed consistently for the last ten years. The average Pearson correlation coefficient between the preceding and succeeding years’ CiteScores for the ten years is 0.98. We also show that it is easily possible for even people with just basic knowledge of computers to forecast the CiteScore. Researchers can predict CiteScores based on the past year’s CiteScores and decide better about publishing their current research in a journal with an idea about its likely CiteScore. Such a forecast can be useful to publishers, editorial staff, indexing services, university authorities, and funding agencies.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"43 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80642455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Bibliometric Assessment of the Finance-growth Literature: Current Status, Development and Future Direction","authors":"Isaac Appiah-Otoo","doi":"10.5530/jscires.12.2.029","DOIUrl":"https://doi.org/10.5530/jscires.12.2.029","url":null,"abstract":"This study utilizes a scientometric/bibliometric analysis to map the status quo of research on finance-growth from 2005 to 2022. By using a sample of 404 articles from the Web of Science Core Collection database and the VOSviewer computer software, the study documented the following: First, research on finance-growth has reached the growth stage with 2021 recording the highest number of publications. Second, business and economics journals have published the largest number of articles. Besides, the USA and China have produced the largest number of articles while Eastern Mediterranean University, Monash University, and Universiti Sains Malaysia are the leading institutions in finance-growth research. Furthermore, Levine Ross, Beck Thorsten, and King Robert can be credited with the modern finance-growth thesis. Finally, economic growth and financial development are the leading keywords in the field.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"26 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77850890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification and Visualization of the Knowledge Landscape of Menstrual Health Research in India: 1996-2020","authors":"Anjali Yadav, Arpana Pandey, Chanchal Chanchal","doi":"10.5530/jscires.12.2.036","DOIUrl":"https://doi.org/10.5530/jscires.12.2.036","url":null,"abstract":"Menstrual health has reaped much attention with a swift increase in the related literature. This study intended to map the knowledge landscape of menstrual health research in India using a scientometric and information visualization approach. The scientometric analysis of Scopus data on parameters like publication output, publication share, growth rate, prolific authors, authorship pattern, scientific fields, citation analysis, international collaboration, etc., has been conducted. 52257 publications were produced globally during the study period, with 2668 papers from India. The majority of these research output is collaborative and multi-authored. America is the most productive country and India's top collaborative associate in menstrual studies. All India Institute of Medical Sciences and Clinical and Diagnostic Research journal is the most efficient institute and journal. Moreover, menstrual health, menstrual cycle and menstrual hygiene, menstrual syndrome, and studies on the function of hormones in menstruation were diagnosed as the mainstream topics in the fields of menstrual health. The study's findings will offer proof of the current status and trends in menstrual health. They will assist researchers and policymakers in understanding the panorama of menstrual health and expecting the dynamic research guidelines.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"65 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89615495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ma. Elena Luna-Morales, M. A. Pérez-Angón, Evelia Luna-Morales
{"title":"Strengthen of a Scientific Field in Latin America: Evolutionary Computation","authors":"Ma. Elena Luna-Morales, M. A. Pérez-Angón, Evelia Luna-Morales","doi":"10.5530/jscires.12.2.025","DOIUrl":"https://doi.org/10.5530/jscires.12.2.025","url":null,"abstract":"We carried out a bibliometric analysis of the research production in the field of evolutionary computation in Latin America (LA) for the period 1980-2020. The bibliometric method is applied with a quantitative review of the published literature. The search for publications was carried out in the Web of Science database through the terms that are most commonly used to identify this field of study. The data analysis the data analysis used Microsoft Office tools (excel and Access) to organize our data were used to organize our data: authors, institutions, journals, countries and thematic categories. It was completed with VOS Viewer 1.8.16 to generate a co-authorship network map of authors, and the development of base maps for collaboration by countries. We have identified the first Latin American publications in the journals Archivos de Biologia y Medicina Experimentales and Desarrollo Economico-Revista de Ciencias Sociales; this research field reached a consolidation in the 2000s with the opening of the first graduate programs in this geographical region; there is an extraordinary number of LA scholars active in this research field and an increasing number of academic institutions mainly from Brazil, Mexico, Argentina, Chile and Colombia; while the Asian and European production in this research field is about 30%, the respective LA contribution is just 4.9%. The present study attempts to document the progress of evolutionary computation in Latin America, an issue that has gained relevance for society, especially in recent years. No studies have been generated that cover the Latin American region, and therefore it is hoped that these findings will be useful for the development of scientific and public policies and also for other future work.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"8 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84211964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paula Marques Borges Vinhas Porto, Sabrina de Oliveira Anício, Rodrigo Nogueira Vasconcelos, T. Malheiros, Washington de Jesus Sant’Anna da Franca Rocha
{"title":"Energy Recovery from Biogas in Domestic Waste Water Treatment Plant in the Last 5 Decades: A Bibliometric Analysis","authors":"Paula Marques Borges Vinhas Porto, Sabrina de Oliveira Anício, Rodrigo Nogueira Vasconcelos, T. Malheiros, Washington de Jesus Sant’Anna da Franca Rocha","doi":"10.5530/jscires.12.2.031","DOIUrl":"https://doi.org/10.5530/jscires.12.2.031","url":null,"abstract":"Biogas, a by-product of effluent treatment, is increasingly no longer seen as a passive, taking on the role of an asset. This work carried out a bibliometric study of the world production of biogas from domestic wastewater, focusing on the evolution of knowledge over the decades. For this purpose, a search for scientific articles was carried out in the Scopus database and, from the documents obtained, a review of literature was developed to access information and reveal quantification patterns. The analysis of the graphs and networks generated proved efficient in the exploratory study of the scientific and technological evolution of biogas from domestic sewage, making it possible to observe a highlight for the recovery of dissolved methane, as well as for the gains in reducing emissions of GHG from biogas reuse, in addition to the focus on nutrient and energy recovery, which underscores the importance of anaerobic processes for obtaining energy and nutrient conservation, as well as their potential contribution to achieving the goals related to the Sustainable Development Goals.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"93 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78651924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Indicators for the Evaluation of Science, Technology and Innovation Activities: A Systematized Review","authors":"Roelvis Ortiz-Núñez, Stephany Novo-Castro, Ricardo Casate-Fernández","doi":"10.5530/jscires.12.2.041","DOIUrl":"https://doi.org/10.5530/jscires.12.2.041","url":null,"abstract":"The article aimed to develop a systematic review of the scientific literature about indicators for the evaluation of science, technology and innovation activities. For this, the Web of Science, Scopus and Google Scholar databases were used. Through the application of the SysteRe-HSS methodology, 96 publications were selected that formed the basis for a descriptive model of the science, technology and innovation indicators. The results of the research showed that there is a predominance of indicators related to the evaluation of innovation activities, human resources allocated to the activity of science, technology and innovation, financial resources and investments in research plus development, and indicators related to bibliometrics and scientometrics. However, challenges are faced related to measuring indicators of social innovation, linking insights from existing innovation measurement approaches with the essential features of social innovation, measuring the impact of social appropriation practices of science and technology, and the next generation metrics, responsible metrics and evaluation for open science, as well as alternative indicators for the evaluation of the social impact of research in web 2.0.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"15 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78278245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Topical Analysis of Scientific Publications on Drug-Resistant Tuberculosis Using Bibliometric and Text Mining Techniques","authors":"Jalal Mardaneh, Reza Ahmadi, M. Dastani","doi":"10.5530/jscires.12.2.037","DOIUrl":"https://doi.org/10.5530/jscires.12.2.037","url":null,"abstract":"Drug-resistant tuberculosis is a form of tuberculosis that is resistant to at least one of the standard first-line anti-tuberculosis drugs. DR-TB can occur when patients do not complete their full course of TB medication, leading to the development of drug resistance. Improved diagnostics and more effective treatments are urgently needed to address this global health challenge, So This study uses bibliometric and text mining techniques to conduct a topical analysis of scientific publications on drug-resistant tuberculosis. WOS Core Collection citation database was used to extract data from the beginning until April 25, 2022. Afterward, the data was analyzed using Python and Microsoft Excel. The results revealed that scientific publications on drug-resistant tuberculosis have increased in recent years, with the majority of the publications consisting of articles and reviews. The USA, India, and South Africa, on the other hand, account for the majority of the publications. Furthermore, the findings demonstrated that publications related to drug-resistant tuberculosis had the highest publication rate in the following subjects: Drug Resistance, Care, Treatment, Drug Activity, Patient, and Drug Dose Therapy Regimen. The findings of the present study showed that the interest in drug-resistant tuberculosis is increasing and controlling its prevalence is becoming one of the key health preferences in the world.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"81 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73858739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}