Scientometrics Research Journal
Year:2021 | Volume:7 | Issue:1 (13)|Papers Count:13

Ranking and leveling of universities at the national and international levels is one of the most important issues that has occupied the minds of university administrators, planners, and policymakers in recent years and has influenced their programs. Today, not only university administrators, but also employers in the society and industry sectors who seek to attract more qualified graduates are constantly monitoring universities' rankings in international ranking systems. Therefore, volunteers and study enthusiasts also mention the ranking of universities as one of the most decisive criteria for choosing the university of their choice. Therefore, nowadays, it is an undeniable fact that the presence of a university in the top ranks determines the prestige and scientific status of that university and provides more opportunities for it to play roles, influence, and gain better positions nationally and internationally. So, it is not far-fetched to expect universities to strive for higher rankings by taking appropriate divisions. Nevertheless, scrutiny of the results provided by existing ranking and grading systems has raised the important issues: "Is the university, which ranks first in the existing macro-ranking and leveling systems really the best in all disciplines and fields of science and technology"? , In this case, "Is it possible to be sure that such a university has the necessary capabilities and competencies to participate in all specialized fields of science and technology"? Of course, no creative mind can answer this question in the affirmative; because in practice, no university, even if it is in the first rank, will still be able to have the first word in all subject fields and to be ranked first in all specialized departments. Thus, the question remains, "What good would these rankings do if we could not rely on the results of existing rankings and leveling to identify top academic departments"? and "How can one expect the results of these rankings as an effective tool to enable science and technology policymakers and planners to better identify more capable universities and benefit from their greater involvement in various specialized science and technology"? Although providing detailed answers to these types of questions requires extensive scientometrics studies, the best answer that can be provided here is that current rankings and leveling, due to having a macro approach to ranking and focusing on the presentation of the macro rank of universities, should be considered as "semi-complete rankings". So, the specialized abilities of academic departments should not be judged based on the results of the incomplete rankings. In order to complete and transform the results of the existing macro ranking systems into reliable and applicable results for specialized affairs, their approaches and indicators should be seriously reviewed and their implementation processes should continue until the ranking stage of academic specialized departments. In other words, the processes and indicators of existing ranking systems can be more efficient and effective if they put university ranking on their agenda at both the micro and macro levels at the same time. In the micro-approach based on a subject-oriented perspective, the ranking of educational/research departments of universities should be on the agenda and the rank of each academic specialized department in relation to the rank of similar specialized departments in other universities should be determined. Then, based on the macro approach, the overall ranking of each university should be determined based on the average rank of all specialized departments of each university. In this case, the main application of the micro rankings results will be at the national and specialized level and can provide more reliable results in order to attract partnership with top academic departments and entrust important and specialized matters to them to the science and technology system. In addition, the results of micro-rankings can be very effective in attracting international students and faculty members, as well as strengthening the university's international scientific collaboration and mobility, and so on. In contrast, the results of macro-rankings can act as a symbol and support at the international level and show the scientific strength and capability of universities and countries at a general level. Finally, one should not overlook the fact that the ranking and leveling of universities is separate from categories such as the evaluation of academic productivity or academic competency of universities, and the better ranking of a university should not be considered as its better scientific productivity or competency; because the level of scientific productivity of each university, after normalization operations and determining the ratio of each university activity to the components such as the number of students and faculty members, activity history, comprehensiveness or specialization of the university and other similar issues is determined; After the normalization of the indicators, it may become clear that the scientific productivity of a small and young university has been far greater than that of a large and old university. Therefore, identifying the scientific productivity of universities, even after the results of micro and macro rankings are available, requires a more in-depth scientometric analysis of the results.

Purpose: A comparative study of citation prediction model through web altmetrics (visibility, save and download, readers) in the fields of health science, life science, physical science, humanities and social science is the aim of this study. Methodology: The present study is a scientometric study that has been done with the method of citation analysis and web data analysis. Sampling was done by random and stratified method. The Sample size was 2000 articles from 4 subject areas, the indicators of which were extracted from Mendelian, Figshare, PlOS and Scopus systems and analyzed by Multiple Regression Analysis method. Findings: The results showed that in four subject areas, web measures act as a predictor of citation indicator and there is a significant correlation between them. The extent of this correlation and predictive power depends on the subject area and covers a range of negative to positive correlations. Conclustion: The difference between regression model of citation prediction through web altmetrics in the variety of fields indicates the distinction among subject areas and their patterns in web metrics which should take in to account for assessments to avoid interdisciplinary comparisons. In the areas with powerful prediction model, web metrics can use separately and as an early predictor of citation. In other areas with weak prediction model, it is suggested that both metrics are applied for the best result.

Purpose: Analyzing social networks of open innovation field for drawing the intellectual and conceptual structure of this field. Methodology: This research is applied research that has been done by academic social network analysis. In this research, 2099 documents of open innovation field that published between 2003-2018 in Web of Science were analyzed. We use CitNetExplorer and VOSviewer for analyzing data. Findings: The number of studies in open innovation represents a sharp increase since 2014. Subjects and concepts that relate to open innovation have not been changed dramatically. Ten important journals received 20% of citations, and 14% of all citations pertain only to 10 articles. Common theoretical background categorized in 4 clusters and contemporary research streams categorized in 5 major clusters. The US has published the most documents in this field, and Iran is the 46th country with only five documents. Conclustion: Open innovation paradigm has been applied in many areas and according to its role in wellbeing, economic growth, environmental improvement, and etc. more attention to this field is needed. Purposeful research and collaboration with other countries are necessary.

Purpose: Scientific journals need to be evaluated regularly for maintaining their scientific quality and more influence. Bibliometric analysis of journals is one of the main approaches to journal evaluation. This study aimed at evaluating the scientific performance and visualizing the scientific maps of the Research on Information Science and Public Libraries Quarterly in a the10-year time span of 2008-2017. Methodology: All 298 published papers indexed in the Islamic Science Citation Index in the time span of 2008-2017 were extracted and needed data were modified by a predetermined protocol and outputs of bibliometric software were mapped and analyzed. Findings: The geographical distribution of authoring institutes and the highly-productive and most influential authors' status are appropriate in the journal. The keyword co-occurrence map showed the journal's attention to its field-related issues, including public libraries. The mapped subject clusters showed that the journal prioritized user information services as well as the public library management. Conclustion: In spite of its influence on Iran's public libraries, the ratio of citations per paper should be increased by more availability, and the role of Iran Public Libraries Institute's staff be predominant in authoring for the journal.

Purpose: Scientific articles that the result of researchers’ thought and endeavor when they are published by accredited journals or indexed in scientific databases, they are cited by other researchers. Indexing the articles in science citation databases increases their visibility and citation opportunities. The present study examines the interrelationship among four variables – namely, co-authorship, number of keywords, number of references, and Inter-institutional collaboration – in 906 articles in Scientific Journals were published in the Persian language in the Field of Agricultural Sciences which bearing impact factor in Islamic Science Citation Center (ISC). Methodology: This research is a descriptive one and done by using of survey method. The research instrument included the Advanced Search option of the ISC Science Citation Index and ISC Journal Citation Reports. The data were analyzed using Excel and SPSS. Findings: The results indicate co-authorship and institutional collaboration and the number of references increased article citation counts. However, the number of article keywords doesn’ t have a positive effect on the citation. Conclustion: Taking into consideration the factors contributing to citation attraction by research articles, it will be possible to predict future citation rates in addition to providing a measure of quality.

Purpose: The research aims to visualize and analyze co-word network and thematic clusters in the field of linked data during 1986-2018. Methodology: The study is an applied research in terms of the purpose, which conducted by using co-word analysis as a methodology and descriptive approach. Clusters determined by three methods. VOSViewer, SPSS, and UCINet were used for data analysis and network visualization. Findings: The keywords linked data and semantic web in terms of co-word pairs had the highest frequencies. Co-word clustering generated five clusters, while hierarchical clustering produced two clusters. The USA was the most productive country and the highest share of documents published in various sub-categories of the Computer Sciences. Studies mostly published in health and cultural heritage contexts. The cluster core concepts of the semantic web was the most mature and central cluster, while linked data usage in the context of cultural heritage was a well-developed but isolated cluster. Conclustion: The results can identify underlying trends and core themes by highlighting thematic gaps to avoid duplicate studies. Policymakers, researchers, and designers of the semantic technologies can plan predictably to develop themes in balance for the future and increase the quality and quantity of scientific outputs.

Purpose: The current research is intended to investigate the content of published articles on using herbal supplements in sport research aimed at identifying the role of the country’ s authors, universities and scientific institutions in sport science production. Methodology: The current research is descriptive in data collection and a scientometrics study which is conducted on the basis of quantitative approach through a library method. Sampling encompassed all research journals in sport and non-sport disciplines which published articles on use of herbal supplements in sport research. Data were analyzed through descriptive statistics via Excel software. Findings: The investigations showed that more than half of these articles are published within the years 2016 to 2018. Almost 64% of these articles are published in Persian and around 80% of these articles are published in intra-national journals (English/Persian). State sport science faculties had central role among academic centers by publishing 30. 1% of these articles. Conclustion: Considering the growth in research production on use of herbal supplements in interdisciplinary sciences, it is suggested that, in addition to enjoying the merits of these supplements for preserving and promoting athletic performance, targeted policies aimed at applying these findings, be made by responsible centers.

Purpose: The purpose of this study is to analyze the thematic approach of the books and theses of the measurement of the scientific output in Iran. Methodology: This research is a type of applied bibliometric research that has been done through the content analysis method. The study population consisted of 115 book titles and 362 titles of Iranian theses written in the state universities from 2001 to 2016. Also, Data was collected by checklists and analyzed by Excel software. Findings: The findings showed that compiled books of scientific outputs measurement in Iran are more than the books of adaptation, translation, review, collection, collection of articles and guides and books and theses have an upward publishing trend and their most thematic approach is citation analysis and scientometrics and the approaches of informatics, inventions and information illustration have been less studied. Also most researches of measurement areas of scientific outputs in Iran done in the field of computer science, medicine, higher education, management, information technology, and library and information science, and the least of them done in the fields of ethics, history, philosophy, law and women's studies. In addition, the subject approach of books and thesis has changed from bibliographic and citation analysis to scientometrics and visualization of information, and the most important subject gaps are the lack of qualitative assessment and pathological of these areas. Conclustion: The results showed that subjects of books and theses of the measurement of the scientific output in Iran have more subject overlap and there is a need for pathology to identify gaps and challenges in this area.

Purpose: The current research aims to study the terms in the literature of project management in span of time based on a word-analysis method. Methodology: The research applies word-analysis technique to automatically explore and describe the terms used in PM literature. An amount of 2170 journal were extracted from the International Journal of Project Management (IJPM). IJPM has the highest SJR index among the journals in the field of project management. The research analyze the papers of IJPM published during 1983-2016. Findings: Ten top groups could be determined based on frequently used terms in PM. The prominent combined terms with the words management and organization are risk management, program management, portfolio management, project organization, organizational learning, and organizational culture. The emerging terms of 2015 and 2016 are social network analysis, aerospace projects, transportation infrastructure projects and social risk management. Four time phases in PM literature term development can be identified. Receiving new terms has been decreasing in PM field since 2004. The term "organization" is the most frequently used term in the PM literature. Its use has increased in the span of time so its frequency percentage has increased from 21. 3% in 1983-1995 to 30. 7% in 1996-2005 and has finally amounted 35. 1% in 2006-2016. Conclustion: PM has experienced some maturity, but some scientific principles and theoretical foundations for the content are missing. Scientometric methods make it possible to identify recently emerged terms, less used terms and saturated terms. This enables us to determine the topics of future research projects and thus to close the current gaps.

Purpose: This study aims to survey co-authoring patterns and subject trends of scientific documents in the Web and Science database during the years 1970 to 2019 produced by psychology researchers of public universities in Tehran. Methodology: The present study is a scientometric study that has been done with the methods of co-word analysis and network analysis research. The collected data were analyzed using Excel software. Also, for analyzing the social network of universities in scientific products in the field of psychology, UCINet network analysis software was used and thematic maps were drawn using VOSviewer software. Findings: The findings of the study show a total of 1007 documents have been indexed by psychology researchers of the University of Tehran, Shahid Beheshti, Allameh Tabatabai, Al-Zahra and Tarbiat Modares, respectively, in the web science database. Most collaborations in the production of outputs have been done with Islamic Azad Universities, Tehran Medical Sciences and the University of Tennessee and the countries of America, Australia and the United Kingdom. Besharat, Ghorbani, Ghobari Bonab have the most scientific productions, respectively. Conclustion: The results of social network analysis of vocabulary concepts show that the highest indicators of the centrality of studies of five universities in Tehran are related to marital satisfaction, health psychology, learning and memory, psychiatric disorders, and child abuse.

Purpose: The purpose of this study was to evaluate the effect of authority control on researchers' scientific productivity in Google Scholar and Research Gate databases. Methodology: This research as an applied and exploratory study compares authority control in Google Scholar and Research Gate Databases by using library, experimental, and comparative methods and analyzes its impact on researchers' scientific productivity. A total of 100 out of 2652 external and internal researchers in the field of information and science who had at least one article indexed in Web of Science and Scopus databases as well as one or more H-indexes between the ages of 2010 to 2018, using purposive sampling, were considered as the sample of this study. Findings: Google Scholar and Search Gate databases are not found except for a few key items such as small name, big name, organizational affiliation, researcher email, specific tools that can be helpful in obtaining of researcher’ s identity. Conclustion: Significant errors and failures in the authentication of researchers at both Google Scholar and Research Gate sites indicate a lack of documentation and organizing tools to solve challenges and issues that cause serious unforeseen damage and errors in the author's documentation control.

Purpose: Considering the purpose of the Cancer Institute as a national and international reference for cancer research in Iran and the special importance of managerial decisions in order to improve the implementation of the center's research policies, determining the status of cancer research articles compared to average of similar articles in the subject field, have been considered as a requirement. The purpose of this study is to determine the weight of scientific articles produced by the Cancer Institute of Tehran University of Medical Sciences using the normalization of articles on the basis of citation benchmarking. Methodology: The present study is an applied and descriptive scientometric research that has been done using library methods, network analysis and citation analysis. The research population includes all scientific articles of Cancer Institute of Tehran University of Medical Sciences indexed in PubMed, Scopus and Web of Science databases from 1965 to 2018. The method of data collection is observation that is collected through searching for organizational affiliation in selected databases. Findings: The findings of this study showed that the publication of the Cancer Institute papers had a growing trend from 1965 to 2018. The highest FWCI score in 2017 was 251. 68 and the lowest FWCI score in 2015 was 0. 04. The highest CNCI score for 2017 was 65. 88 and the lowest score for 2006 was 0. 04. The highest and lowest RCR scores were 147 in 2017 and 0. 04 in 2008 and 2011, respectively. The articles in the Scopus database are more effective than the other two databases. The most active authors are the researchers at the Cancer Institute. Most research has been published in the fields of breast, esophageal, gastric, surgery in cancer and radiotherapy. Conclustion: Citation benchmarking, percentile rank and citation analysis are used to evaluate the quality of articles besides the quantity of them. Evaluating the quality and quantity of scientific papers can provide valuable information to Cancer Institute managers and policy makers in order to develop an innovative attitude.

Purpose: Innovation is one of the main and important components for the development of any country and since the innovation of universities can be the main cause of progress and development, it is very necessary to be able to use innovative universities using the index. Identify the right ones. Therefore, the main purpose of the present study is to validate the innovation indicators in Iranian universities based on the innovation indicators of the world's universities. Methodology: This research is applied in terms of purpose, which has been done with a scientometric approach. The method of this research is documentary and survey, which has been done by using The Delphi technique and forming an expert panel; the panel of experts included 10 faculty members of public universities and research experts who are based on willingness and availability. They were purposefully selected to use their information. It should be noted that the Delphi section questionnaire was conducted in two rounds to determine the validity of the innovation indicators of Iranian universities from the perspective of experts. In the documentary method section, the statistical population consisted of printed and electronic texts and resources related to the indicators of university innovation assessment in knowledge assessment centers inside and outside the country. To collect the data required for the research, a checklist and a researcher-made questionnaire were used. Descriptive and inferential statistics were used to analyze the data using Excel version 16 and SPSS version 25 software. Findings: The findings of the present study showed that there is no clear and codified index for evaluating innovative universities in Iran. It was also found that there are 63 indicators in the world for evaluating innovative universities. Among the 63 identified indicators, 18 indicators were identified and proposed based on the views of experts to evaluate the indicators of innovative universities in Iran. Based on the variables of variable validity, the indicators of innovative universities averaged 0. 52% away from the population average. The degree of matching of the evaluation criteria of Iranian universities with the evaluation criteria of innovative universities in the world was 0. 56%. Conclustion: It is very necessary and necessary in Iran to develop clear and codified indicators for the evaluation and evaluation of innovative universities in the country so that the strengths of universities in terms of innovation can be emphasized. The evaluation indicators of Iranian universities, which were 0. 56% consistent with the evaluation indicators of the world's innovative universities, indicate that this level of conformity is very weak and should be more than the innovation indicators of universities. Focused.