پژوهشنامه علم سنجی
پیاپی 11 (بهار و تابستان 1399)

The scientific journal assessment worksheets are the most important tool for evaluating the quality of scientific papers. The purpose of this research is an objective and qualitative description of indices used in the worksheets for the evaluation of Art scientific research journals in Iran and to acknowledge their shortcomings in comparison with the norms of science from the Robert King Merton's and Mitroff’s Counter-Norms in Science perspective.

The research approach in this study is QUN)qual), combining survey and content analysis. Statistical samples consisted of nine worksheets developed for the evaluation of specialized art journal articles with a scientific research rank. Moreover, 14 experts in the fields of Scientometrics and art were invited to provide feedback on the extent to which the evaluation criteria used in the evaluation worksheets are in conformity with Merton’s science norms. Data collection was done in two forms including library research, referring to scientific journals databases, and structured interviews. In order to uncover the existing status of the indicators from the researcher-made checklist, Excel software and a questionnaire were used as research instruments. The collected data were analyzed by descriptive statistics along with relevant tables and charts.

Findings of the research show that out of the total 53 existing indicators, the index of "using sufficient and new valid sources (internal and external)" had the highest frequency (77.78%). The findings also indicated that the other 26 indicators had the lowest frequency percentage (11.11%). Moreover, these indices are consistent with the six out of seven of Merton's science norms (less than 18%).

The obtained results revealed the unbalanced distribution of components and indicators of evaluation in these worksheets and their non-conformance to the norms of science, necessitating their revision. So as a result, the new worksheet contains 10 components and 44 indicators designed base on findings and views of experts.

The purpose of this paper is to determine various aspects of the field of "Game in Libraries" using a knowledge map.

This study is applied scientometrics research. The study population included 86 articles in the field of "Game in libraries and information literacy" that indexed in Scopus by the end of 2016. In this paper, we use Text mining analysis and social network analysis to draw a knowledge map of "Game in libraries". The overall structure of the network was investigated using metrics like density; metrics include degree centrality, betweenness centrality and eigenvector Centrality to visual representing of knowledge and determining the vacuum and density points of scientific trends of "Game in libraries". Excel and NodeXL software were utilized for data analysis.

The results showed that the most important subjects in the field of "Game in libraries" were Game-based learning, Game collection development, Game programs, Game design, Game analysis, Information literacy, Library instruction, search ethics, plagiarism, and gamification. Educational games, academic libraries and game-based learning keywords ranked as the highest size. Academic libraries, public libraries, students and library collections keywords were the most effective in the network.

 Identifying different subjects of the field of game in libraries will be the most effective for the success of research projects in this field. Research such as the present study can provide a comprehensive view of long-term planning for the presentation of game programs in libraries and the use of games in library education and information literacy.

The purpose of this research is to map the scientific structure of the subject areas of medical and laboratory equipment articles using the co-occurrence analysis.

This research is a scientometrics study and has been done using co-occurrence analysis. The statistical population of the present study is all articles in the field of medical and laboratory equipment, which were indexed from 1984 to 2014 in the Web of Science. In this research, in order to draw a scientific map Ucinet software and its full complement Net Draw have been used and hierarchical clustering was performed with the SPSS software.

The results of the research showed in the frequency, the keyword "medical equipment" and in terms of the coincidence, two keywords "menstrual fluid- menstrual fluid" were the most frequent in the field of medical and laboratory equipment. The results of hierarchical clustering using the ward’s method led to the formation of four clusters in this area, which included the cluster of medical equipment, the cluster of therapeutic methods, the cluster of cardiovascular equipment and the cluster of diseases.

 The results of the co-occurrence analysis showed that the cluster of "therapeutic methods" and the "cardiovascular equipment" cluster are considered to be mature and central clusters and play a central role in medical and laboratory equipment research. Therefore therapeutic methods and cardiovascular therapies are among the key issues emerging in medical and laboratory equipment research that can predict the path to future research. Also, the cluster of "medical equipment" and the cluster of "diseases" are both central and in terms of density compared to other clusters at a low level and have a marginal role and less attention has been paid to research on medical and laboratory equipment.

The purpose of this study was to identify and evaluate the research productivity of researchers, universities and institutes in the field of cognitive science in Iran. in accordance with the goals and nature of this subject, this is methodological applied research, and documentary and survey methods were used to perform it.

The Statistical community of this research includes all researchers, universities and research institutes in the field of cognitive science in Iran that have published articles on the Web site from 1983 to 2017. The number of articles studied in this research is 1317, and they were done by 94 researchers. Furthermore, in order to determine the weight and importance of each of the indicators, we benefited from the opinions of 30 scientific research experts and subject specialists as a part of the research community through questionnaires. In relevance to the research questions, Web of Science, Google Scholar and questionnaires containing 10 questions for assessing the research productivity of researchers and universities in the field of cognitive science, were used as the data gathering tools, these tools were previously verified by faculty members and experts.  Due to a coefficient of 0.96 obtained by Cronbach's alpha, the questionnaire’s reliability was confirmed. Answering questions and testing the research hypothesis were done at two levels of descriptive and inferential statistics. At the level of descriptive statistics, frequency, average and standard deviation were used. At the level of inferential statistics, statistical tests of variance analysis, the minimum difference of significance and Friedman were used. Excel and SPSS software were used for this job.

According to the research findings, the ranking of research productivity of researchers, universities and institutes in the field of cognitive science in Iran is as follows: The University of Tabriz (with a weighted sum of 848.3) ranked first. The Univ Tehran Med Sci (with a weighted sum of 572.4) was ranked second. Amirkabir University (with a weight score of 519.9) took the third place.

The results show that the indexes of Q1, Q2 & H-Index of researchers in the field of cognitive science are of great importance.

The most important objective of the present study is the comparison of a quantitative approach (scientometrics index of FWCI) and a qualitative approach (experts’ perspectives) in the identification of the top authors.

This is applied research and has been done by a combined method (qualitative and quantitative). In the qualitative part, the experts' points of view and in the quantitative part, the scientific-efficacy evaluation index have been used. Two sample volumes were comprised of the present study participants; the first group included the experts (n=10) and the second group consisted of the premier writers (n=87) based on FWCI. Checklist, questionnaire and SciVal database were the resources utilized for data gathering. The data were analyzed based on the nonparametric Friedman test.

the results of the present study indicated that the most important indicators influencing the scientific productivity of the authors, as viewed by the experts, are environmental and organizational factors (the time devoted to the research; the scientific rank of the affiliated organization and the fame of the author in national and international levels) while scientometrics indicators (number of papers, organizational goals, substantiations and credibility of the surveyed journal) were found with the highest mean values and ranks based on FWCI in respect to the other indicators in the top author group. However, no significant difference was evidenced between the two approaches in terms of the obtained ranks.

the present study indicated that there is no significant difference between the qualitative and quantitative approaches in terms of the obtained ranks (even with the transposition of the indicators in these two approaches) and the top authors feature the indicators intended by the scientific productivity area’s experts for primacy based on FWCI.

The main objectives of the present study are to estimate the correlation between the ranking based on normalized altmetrics and citation indices, and to conduct interdisciplinary comparisons at the level of scientific journals.

With a quantitative approach, this research has used scientific methods and techniques such as analysis of web data, citation analysis, and data-based analysis of indicators.

The findings indicated that NJAM normalized altmetrics did not have any significant relation with citation indices (i.e., IF, SJR and SNIP). However, NJRM and NJCM normalized altmetrics had a significant positive relationship with citation indices (i.e., IF, SJR, SNIP). In addition, there was a significant correlation between disciplines, in ranking journals based on altmetrics (i.e., JAM, JRM and JCM). However, there was no significant difference between disciplines, in ranking journals based on normalized altmetrics (i.e., NJAM, NJRM and NJCM).

If we accept that various citation indices and altmetrics measure aspects of the quality of scientific journals, the observed significant positive correlations can be explained by referring to the stable quality of journals. Therefore, we can conclude that all altmetrics, except for JAM and NJAM, can be used for ranking scientific journals

The aim of the research is to analyze and illustrate the scientific products of IAU researchers in the subject of "Art and Architecture in WOS."

This is applied research that is done with a scientometric approach. It has studied the quantitive performance of the field of art and architecture of the Islamic Azad University in WOS from the beginning to 2018.  The statistical population includes 253 recorded in the field of Art and Architecture in WOS.

Findings showed that the first scientific record indexed for the fields of Art and Architecture was related to 2008 and the highest scientific products were related to 2016. Framarz Malekian and Human Sabouti are placed in the first rank with 5 records. The most scientific collaboration of IAU has been with Australia and Malaysia. The "Turkish online Journal of Design Art and Communication" is recorded as the core resource of Art and Architecture of IAU in the WOS.

The results also showed that keyword "Architecture" repeated 13 times and is placed in the first rank then "Iran" is placed the next as another keyword that is repeated 11 times. Among the keywords – considering- conformity – key terms such as: "environmental studies" and "urban studies" conjugating 14 times ranked first, also keywords relating to scientific record of Islamic Azad university in the field of Art and architecture is classified in 7 different clusters.

The purpose of this study was to identify organizations and countries with the highest number of retracted productions, as well as to determine the upward trend or downside of the production of this type of works globally and to compare these organizations in Iran and the world in terms of the number of retracted productions, as well as the pattern of collaboration among the organizations and countries that have been published with the most retracted articles, have been reviewed.

This research was carried out with a scientometrics approach and data collection from the Web of Science database. Excel, Hist cite, Vos viewer, and NodexL software were used to analyze the data.

The results of this study showed that the amount of production of retracted products in recent years has been increasing and Iran has not good condition due to the number of scientific products discredited (7th rank of the world). Also, some organizations such as Islamic Azad University are ranked first in terms of this type of work. Although Harvard is ranked second in terms of the total number of articles and the total number of retracted articles, it is ranked 8th among the top organizations in terms of the proportion of total retracted articles to all papers and among organizations with the most significant number of retracted articles, it’s rank is 10th.

 In order to measure and compare organizations, only the calculation of the number of articles and the number of scientific productions is not considered an important indicator, but the calculation and comparison of the ratio of papers and retracted papers can also change their position relative to each other. Considering the relatively unfavorable situation of Iran in terms of the number of retraction, it is recommended that researchers be familiarized with exemptions from the validity of research works and that the responsible units such as the research deputy of the organizations have penalties for eliminating the credit quality of defective and of poor quality so that the name of the country as the highest ranked country does not count as the number of denied credits.

The purpose of this study was to evaluate the international visibility of Iranian agricultural journals published in English language in terms of their received citation.

This research is applied one and has employed citation analysis method. The research has been also done with a descriptive-analytical approach. The research population consists of 33 English-language agricultural journals published in Iran.

By 2016, these journals have produced 7476 articles that 2496 (33.4%) of them have received at least one citation. Approximately half of the citing journals are qualitatively placed in the first and second quarters of the Scimago ranking. The number of authors citing to these journal is 38,322 from 147 countries of which 26.29% are Iranians. On the other hand, 27498 authors from 102 countries have contributed to the compilation of articles in these journals, of which 73.8% are Iranians. According to the findings, structure of editorial staff has no effect on citation rate of these journals.

 The results of this study show that the citation rate of Iranian English language journals in the field of agriculture is comparable with the regional countries. Citing journals have an acceptable quality level, although a significant part of them are Iranian ones. These journals are not well known to international writers, and the editorial staff of the journals are predominantly Iranian, although this does not have much influence on the citation rate of these journals.

The main purpose of this study is to determine the difference between the IF and the indicators of SJR, SNIP, and IPP in introducing scientific journals in scientific fields.

This research is an applied research and in terms of implementation method, it is a scientometrics study (comparative type). The population is the top scientific journals, which are in the first quarter of the list of JCR magazines, and includes 1093 titles in medical, technical, engineering, and social science fields. The required data were collected through the online search at JCR, Scopus and SCImago. The statistical tests of Kolmogorov Smirnov were used for data normalization and exploratory factor analysis to test the hypotheses.

Findings showed that the mean difference between two indicators of "IF" and "SJR" was significant in the fields of engineering and social sciences, and the mean difference between these two indices was not significant in the field of medicine. In each of the three fields, the mean difference between the two "IF" and "SNIP" indicators is significant. In the medical and social sciences, the mean difference between the two "IF" and "IPP" indicators was significant and not significant in the field of engineering. In the social sciences, the indicators of the "SJR", "SNIP" and "IPP" are highly correlated and the "IF" has no high correlation with other indicators. In the field of engineering and medical sciences, the "IF", "SNIP" and "IPP" indicators are highly correlated and the "SJR" index has no high correlation with other indicators.

The result showed that the use of different indicators in different subjects has given different results, and a more accurate index should be selected in each field according to the degree of closeness and the difference between these differences. The indicators of SJR, SNIP, and IPP in the social sciences, and the indicators of IF, SNIP and IPP, respectively, in the field of engineering and medical sciences, are the most relevant indicators for citation and decision making, because of the most similarity in the ranking of journals in these fields. The use of the IF in the field of social sciences and the SJR in the fields of engineering and medical sciences due to lack of correlation with other indicators do not seem appropriate and in general, the use of the two indicators of IPP and SNIP in all thematic areas are better and more reliable indicators

This study aims to assess Iran’s scientific publications from 2013 to 2016 with an emphasis on National Master Plan for Science and Education.

This is a descriptive-analytical study that has been conducted using scientometric methods. To achieve research objectives, data related to eight indicators of scientific publications insert in National Master Plan for Science and Education, extracted from related databases for five years.

The findings indicate that based on quantitative indices such as " Publications Per Population ", "the ratio of graduates to indexed articles in international databases" and "ratio of international indexed articles to the number of Faculty members", Iran has an acceptable ascending trend. However, with regard to qualitative indicators such as the "citation per paper”, in spite  of  the ascending trend in recent years, the value achieved is far away from the target level for this indicator.

System of Monitoring and Evaluation of Science, Technology and Innovation of Iran", intended to evaluate the indicators of National Master Plan for Science and Education by the Supreme Council of Science, Research and Technology, is not suitable and it is necessary to review and modify the indicators of the monitoring system

The objective of this research is to study and compare the co-authorship graphs (networks) of Iranian researchers in the main fields of mathematics by using records, extracted from WOS and Google Scholar, and graph parameters.

The co-authorship graphs (networks) of Iranian researchers in 6 specialty fields of mathematics have been drawn by mathematical methods and software. Overall this research, 276 Iranian researchers in mathematics were considered and the co-authorship graphs in all fields were drawn and compared. Some mathematical graph parameters such as degrees of vertices, diameter, radius, independence number, vertex and edge chromatic numbers, matching number, for all co-authorship graphs were calculated too.  Finally, we analyze and compare the co-authorship graphs by using these graph parameters.

The research findings showed that two specialty fields Operation Research and Graphs and Combinatorics with average degrees 4.20 and 3.70, respectively, have high research collaboration with respect to other fields. The greatest diameter in the co-authorship graph, which equals 8, belongs to Commutative Algebra and the co-authorship graphs of the specialty field Numerical Analysis and Group Theory have the same least value of radius 3.

 In some specialty fields of mathematics, which are pure, there is not enough collaboration among Iranian researchers. So, it is better that these researchers try to have more collaboration to publish stronger and deeper research works in the international journals. For this aim, more budget allocations should be considered to accelerate researchers to do group works with high quality.

The study was conducted with the aim of citation frequency analysis of the different styles of painting in Arts & Humanities Citation Index® (A&HCI) in Web of Science (WoS).

The research method was citation frequency analysis and the study population consisted of all the painting styles, painters, and all of the published papers in this field. The samples of research were chosen purposefully. Excel software is used to analyze the data.

Ten painting styles that had the most citation included: Op art, expressionism, impressionism, realism, renaissance, super realism (photo-realism), surrealism, cubism, abstract art (abstract) and miniature. The findings indicated that France was the origin of the most styles and the presence of famous painters. The largest number of articles in Web of Science have been allocated to Pablo Picasso, Paul Cézanne, Vincent Van Gogh, Claude Monet and Wassily Kandinsky. Curless with 444 citations is the most cited author in this field.  Washington University with 4 articles and 395 citations has won first place among institutions and universities. The British Journal of Psychology with 2 articles and 388 citations has the first rank of journals in the field of painting styles.

It is concluded that special attention has been paid to the publication of articles in the field of painting styles in the West in recent years, especially from the psychological point of view. This can be a sign of a new scientific movement in the field of painting in modern life.

The aim of this study is to reveal the research topics of COVID 19 in five continents on the WOS studies.

The present study is a descriptive study with a scientific approach and content analysis method and utilization of co-word analysis and social network analysis techniques. The research community is COVID 19 studies in the WOS. Bib Excel and Gephi software have been used to analyze data and VOS software to draw the intellectual structure.

Asian, European, American, African, Australian and Oceanic countries participated in 608, 391, 301, 66 and 43 studies. The SARS, MERS, and Sun keywords are the top keywords in the COVID 19 studies on five continents. COVID 19-SARS, COVID 19-MERS and COVID 19-Wuhan are common co-word pairs in studies in five continents. In Asian studies, "Pneumonia, Electric field, and Pneumonia", in European studies "Sun, X-rays, and SARS" and in American studies  "MERS, galaxies, and zoonosis" and in African studies "lightning protection, MERS and MERS" and in Ocean studies "MERS, risk management and MERS" have the highest degree, closeness, and betweenness centralities.

Asian researchers focus on epidemiological topics, European researchers focus on biological topics, and American researchers focus on epidemiological and genetic issues.