نشریه علم سنجی کاسپین
سال هشتم شماره 1 (بهار و تابستان 1400)

The hi-index proposed by Batista et al. in 2006 is one of the complementary indicators of the h-index based on the role and status of authors. In this article, we will introduce this indicator and its features.

Due to the necessity of the relationship between the university and society, the aim of this study was a scientometrics analysis of researches in the field of media and information literacy (MIL) in strengthening the relationship between universities and social space.

In this scientometric study, the statistical population was all articles published in the field of MIL as well as relationship between university and society in the Web of Science (WoS) from 2010 to 2019. The VOS viewer was used to draw a co-authorship map of all organizations, density map of countries and word co-occurrence map.

The highest and lowest scientific outputs related to this field were in 2017 and 2014, respectively. According to the results of VOS viewer software, there were 136 nodes and 3084 links in the map. Based on frequency clustering, the topics of "Higher Education", "Types of Media Literacy Levels", "Technology" and "New Curriculum" were identified as thematic clusters in the field of MIL. Moreover, Spain, Mexico and Chile had the highest density in the co-authorship network of MIL documents, respectively. Cluster analysis of the co-authorship network of countries in the field of MIL and relationship between university and social space indicated that this network was composed of 6 distinct clusters.

The co-occurrence of various words including "community", "university" and "digital space" in drawing the scientific map demonstrates the importance and necessity of close relationship between society and university in the context of digital and media space.

The aim of this study was to draw and analyze the worldchr('39')s scientific collaboration in the field of crisis management based on data retrieved from the Web of Science (WoS).

This applied and descriptive study was conducted using a scientometric approach. The study population was 2485 records of scientific outputs in the field of crisis management indexed in the WoS from 2010 to 2020. The data were analyzed using VOS viewer, UCINET and NetDraw packages as special software for social network analysis. Moreover, the scientific outputs in the field of crisis management at micro- and macro-level indicators were used to draw and analyze the co-authorship network.

The findings of the present study showed that 79 countries, 5690 authors and 2495 scientific and academic institutes participated in the production of these works. The United States, China and Germany had more scientific outputs. Moreover, "Ha KM", "Benaben F", and "Mcmains MJ" were the most prolific authors in the field of crisis management. "Komadina R" and "Ingrassia PL" had the highest centrality indicators compared to other authors. In addition, the levels of macro indicators including density, clustering coefficient, average distance and network diameter were 0.018, 2.818, 2.134 and 6, respectively.

Considering the low coherence of the network, the coherence of this network is likely to be improved by joining small clusters together depending on collaboration between the authors of these clusters as well as leads to the reduction of structural holes in this network.

The present study was conducted to determine the emergence of prominent subjects and to outline the intellectual structure of semantic web research.

This descriptive and applied study was conducted using the scientometric method and social network analysis. The study population consisted of all semantic web documents indexed in Web of Science journals during 1990-2019. To do so, the “Semantic Web” (SW) keyword as general term was selected in the “Topic” field covered titles, abstracts, and keywords from the beginning to 2019 to collect data. Next, the data of 16,111 retrieved documents in plain text format of 500 characters per file were extracted on 9 October 2020. Ultimately, 34 files were entered into the CiteSpace software for the final analysis.

The results indicated that a major SW development occurred in the 21st century. Two separate periods (2007-2011, 2014-2016) had the highest publication statistics. Furthermore, “Michel Dumontier” was the most influential author while maintaining a high burst (8.50) and centrality (19) in the SW co-authorship network. “Karlsruhe” University in Germany held the highest burst (27.56) and performance at the same time among the 62 universities active in SW. Finally, the subject categories of computer science and interdisciplinary applications, engineering, control and automation systems and artificial intelligence were introduced as emerging subject categories on the SW, as these subjects demonstrated the highest centrality and burst at the same time.

Overall, the analysis of the keyword co-occurrence network of SW researches showed that the time trend of the emergence of these keywords started with the SW and XML as well as recently focused on the keywords including knowledge management, e-commerce, information retrieval, metadata, knowledge-based systems and network interoperability.

Co-word analysis is a tool for depicting the scientific structure of outputs. Therefore, the aim of this study was to evaluate the co-word analysis in nursing science by examining the keywords of Masterchr('39')s and Doctoral dissertations in the Faculty of Nursing and Midwifery of Shahid Beheshti University of Medical Sciences.

In this scientometric study used co-word analysis method, the research population included 473 masterchr('39')s and doctoral dissertations in the field of nursing in the Faculty of Nursing and Midwifery of Shahid Beheshti University of Medical Sciences. Data were analyzed using Ravar, Gephi, UCINET and SPSS.

The results showed that 902 keywords were used in the dissertations that the highest frequency of words in the nursing dissertations of Shahid Beheshti University of Medical Sciences was related to the nurse (117), neonate (58), quality (53), respectively. Results associated with hierarchical clustering by Ward’s method led to the formation of seven clusters in this field: "Nursing Management, Community Health Nursing, Neonatal Nursing, Neonatal Intensive Care Units, Nursing Research Methodology, Community Health Nursing" and "Nursing Emergencies" so that cluster 6 (Community Health Nursing) and cluster 1 (Nursing Management) had the highest and lowest centrality among different clusters, respectively. Moreover, cluster 7 (Nursing Emergencies) and cluster 6 (Community Health Nursing) had the highest and lowest density among other clusters, respectively.

In nursing research, the issues of quality, health and self-care play a central role, but the issues of stress, anxiety and mortality have not been considered in this field.

The main purpose of this study was to discover the thematic tendencies of scientific articles in the field of taxation in Iran and to classify them into specific categories to determine the research priorities of Iranian researchers in this field.

In this applied descriptive-analytical study with a quantitative approach, all 63 titles of scientific journals publishing papers in the fields of economics, accounting, and finance were examined. The data were collected using a checklist tool and statistically analyzed using Excel software.

During the period under review, 478 articles in the field of taxation were published with 1148 authors. The MA authors were at the top of the authorschr('39') list with the publication of 419 articles. Among the universities and research centers, Tehran University together with Allameh Tabatabachr('39')i University was ranked first with the publication of 34 articles. In terms of topic orientation, 12.5 and 9.6 of published papers were in the field of “effectiveness and tax efficiency” and “tax avoidance”, respectively. From a total of 12822 references cited in the articles, 58 and 42% of them were in English and Persian, respectively.

It seems that the reason, why Iranian researchers pay more attention to the effectiveness and efficiency of taxation has been the application of different manners concerning tax collection in Iran. On the other hand, the inclusion of tax avoidance and evasion in the second and fourth ranks of researcherschr('39') research priorities indicates the existence of a serious problem and dilemma in this field.

Drawing the scientific maps in various fields through the study of scientific texts has always been the focus of many researchers. The purpose of this study was to investigate the research process and determine research interests in the field of brand and personal brand as well as analysis of scientometric indicators in this field based on scientific articles in the Web of Science (WoS) database.

This scientometric and applied study was conducted through the network analysis of co-authorship countries and co-occurrence words using the indicators of social network analysis. The research population was all articles on the brand and personal brand, indexed in the WoS during 1985-2020. The VOSviewer and Excel were used to analyze the data.

The results showed that scientific outputs in the field of the brand started in 1990 with 1 article. Most outputs were in 2020 with 101 articles. In the co-authorship network of countries, the United States was identified as the most influential country with 164 articles, and in the co-occurrence words, out of 2707 words, the most focus and co-occurrence was on the keywords "brand" and "behavior" with 74 co-occurrences and "impact" with 77 co-occurrences.

Studies in this field have a good network coherence, and word density map also confirms that researchers have been able to address a variety of topics in the field of the brand.

Scientometrics as a system of scientific communication plays an important role in evaluating, policy-making and future developments in scientific outputs. The aim of the present study was to investigate the scientific outputs of Iran before and after the initiation of the scientometrics.

This descriptive-analytical study was conducted using scientometric method. The study population was all Iranian scientific outputs before and after the approval of scientometrics in Web of Science (WoS) and Scopus databases during 1823-2020. The data were analyzed using Excel.

Since the approval of scientometrics in Iranian universities and higher education institutions in 2010, averagely, 82.8% of the total scientific outputs of Iran was done in WoS and Scopus databases, while before the approval of the field, approximately 17% of science outputs were performed.

The results of this study showed that simultaneously with the approval of the field of scientometrics, the scientific output in Iran had grown significantly.

Nowadays, with the increasing use of Web 2 capabilities, the scientific evaluation of researchers has been considered using altmetrics. The aim of this study was to analyze the correlation between ResearchGate (RG) indicators and academic Times ranking among prominent faculty members in the field of computer sciences affiliated with the top scientific centers (Times) in 2020.

The present study was conducted using the scientometric method and Altmetrics approach. The study population consisted of 100 faculty members affiliated with the top ten academic centers according to the Times Higher Education World University Rankings 2020 in the field of computer sciences at least with degree of associate professor, who were selected by stratified random sampling. Data were analyzed using SPSS 22.

More than half of the population (100 faculty members) had no presence on the RG network. For 47 registered individuals, no significant relationship was found between the five indicators on RG of "RG score", "Citations", "Research Interest", "Research Items" and "Followers" with "Times Ranking" (P-Value> 0.05 in all of five). There was a significant relationship between the "reads" indicator and "Times ranking" in the form of mean inverse correlation (P-value = 0.04, Spearman correlation coefficient= -0.6).

The Timeschr('39') top international computer science researchers with the degrees of associate professor and higher had no more active presence on the RG network. In addition, no significant correlation was observed between "Times Rank" and RG indicators in their activities, except for the "reads".

Assessing the quality of scientific outputs is part of the development measuring system of countries around the world. The aim of this study was to analyze the thematic structure of the top articles of Iranian researchers in the Web of Science (WoS) database in Web of Science database.

This applied-descriptive study was performed using scientometric method. The research population was all top papers of Iranian researchers indexed in Essential Scientific Indicators (ESI) and WoS databases from 2010 to 2019. Data were analyzed using Ravar Matrix and Ucinet softwares.

Total number of Iranian top articles was 2447 of which 2428 and 114 were highly cited and hot articles published from 2010-2019, respectively. The top ranking of centrality was assigned to the keyword "nanofluid" with a closeness centrality of 53.684, betweenness centrality of 24.229 and degree centrality of 3.020%.

The top articles of Iranian researchers were classified into 14 thematic clusters, so that most of these articles were in the field of "engineering" and the keyword "nano" was the most important thematic keyword and the basic foundation of this study.