نشریه علم سنجی کاسپین
سال دهم شماره 2 (پاییز و زمستان 1402)

Librarians, as practitioners of Library and Information Science (LIS), by playing various roles, can contribute to the promotion of research and expansion of human knowledge. The aim of the present study was to investigate librarians' scientific publications indexed in the Scopus database between 2016 and 2020 using the scientometric approach.

The present study, which was conducted using a scientometric approach, is descriptive in terms of data collection and applied in terms of the objective. The research population was all articles indexed in the Scopus database in 2016-2020 in which the word "librarian" is included in at least one of the authors’ organizational affiliations. The number of these articles amounted to 2207 after review and screening by the researchers.

In general, librarians accounted for 1.5% of the worldwide scientific production in the field of LIS. Librarians were the first, second or third author in more than 60% of the articles analyzed. Totally, 61% of the articles by librarians were published in non-LIS disciplines such as biological sciences, medicine, and computer science, and the chi-square test showed that the participation of librarians was significantly higher in non-LIS disciplines than in LIS disciplines (p<0.001). A closer examination of the articles indexed by librarians in the Scopus database in the LIS subject area showed that scientometrics, library services, databases, archives, and knowledge management were the most interesting topics for librarians with a frequency of 134, 131, 84, 75 and 59 articles, respectively.

Librarians as research assistants have made an important contribution to the writing of articles from non-LIS fields in recent years. Moreover, scientometrics has been one of the main topics of their research in the LIS field.

Network analysis is an approach in social studies that draws intuitive structures as well as mathematical and computational models and is used in studies of various fields. The purpose of present research is to map intellectual structure of the subject categories of Iran's biomechanics field as an interdisciplinary field.

The current research has been carried out by scientometric approach and co-word analysis of Iranian biomechanics documents indexed in Web of Science. For data analysis, VOSviewer ana SPSS were used.

Based on the analysis of data, five clusters were identified: cluster 1, biomechanics of body movements, cluster 2, tissue biomechanics and orthopedics, cluster 3. Corneal biomechanics, cluster 4, computational biomechanics and cluster 5 occupational and spine biomechanics. Also, through factor analysis, in addition to these items, the biomechanics of diabetes were also identified. The clustering analysis also showed four subject clusters, except for the lack of identification of Human motion biomechanics, the rest of the clusters identified in the scientific map were also recovered and in the factor analysis, 6 factors were identified, except for the diabetes factor, other factors appeared in thematic clusters.

The areas that are more related to injuries caused to the body during work related activities, daily movements or accidents that lead to fractures and orthopedic injuries have been more attractive and important for researchers. Also, a significant amount of research has been based on computational methods.

The COVID-19 pandemic has led to changes in many service jobs. Considering the great importance and impact of this epidemic, the aim of this research is to analyze articles related to public library services and COVID-19.

The present study is descriptive and applied and using common methods in scientometrics, it examines the research conducted in the field of public libraries and COVID-19 in the Web of Science database, from 2020 to 2023. Research data through combined search of keywords "COVID-19" OR "SARS-CoV-2" OR "2019-nCoV" OR "2019 coronavirus" OR "2019 novel coronavirus" and public library keyword in Bib TeX format in Notepad text file format was extracted and transferred to Excel software, and then data analysis was done using Excel software and Bibliometrics library from R software.

Based on the data obtained from the research, the growth of scientific publications in this field was negative, and in terms of vocabulary frequency, "public libraries", "information", "society" and "social networks" are the most frequent in researches of public libraries and COVID-19. Findings related to clustering led to the formation of 4 clusters. The "Services, Challenges and Technology" cluster was central and had a higher density and centrality than other clusters. The "Access and Information Presentation Models" cluster was found to be non-central. The "Libraries and Information Literacy" cluster was placed in the underdeveloped region of the strategic diagram and finally "Society, COVID-19 and the role of libraries" cluster was introduced as an immature cluster.

According to the abundance of keywords and clusters obtained from the strategic diagram, it was found that the thematic fields of "services, challenges and technology" are the most important emerging factors in this field. Research trends in this field can be planned for further new research in order to cover less work done in these fields.

Co-citation and word co-occurrence analysis can help to identify key articles in any subject area. Therefore, the purpose of the current paper is to identify the thematic orientation in the co-citation and co-occurrence network of prominent articles in water pollution field in the world.

The current research is applied in terms of purpose, and descriptive in terms of type, which was carried out using co-citation and word co-occurrence analysis. In order to better understand the research conducted in water pollution and draw a scientific map of this field, all the published articles (28095 docs) were retrieved in the Web of Science database from 2011 to 2022 in August 20, 2023. Citespace software was used to analyze and draw co-citation maps and VOSviewer was used to analyze and draw word co-occurrence maps in water pollution articles.

Generally, there exists 245 co-citation link between 101 documents in the co-citation network of articles. The top articles in water pollution field in the above-mentioned time period formed 12 thematic clusters. The results of co-referencing documents in water pollution state the formation of the most important cluster (cluster 0) in 2014 in drinking water, removing arsenic, groundwater pollution. The largest number of clusters (5 clusters out of the total number of 12 clusters) was formed in the period of 2017-2019. The word co-occurrence results stated that cluster number 1 with 65 members and the topic of different methods of wastewater treatment is the most important one discussed in the articles. The terms "water pollution", "adsorption", "water quality" have the highest frequency of co-occurrence compared to other terms with 2177, 2136, 945 respectively.

Different clusters were formed in this research, most of which focus on removing pollution in water in different ways using the latest methods. These results can be an effective step in saving the time and money of officials in forming necessary policies.

The main purpose of the current paper is the Scientometric analysis of scientific productions in sports science based on the articles indexed in the Web of Science during the years 2012-2022.

In terms of type and nature, the current research is an applied one in which scientific techniques and indicators are used. The statistical population of this research includes all the articles indexed in Web of Science in the 10-year period of 2012-2022 in sports sciences. VOSviewer software was used to draw the co-authorship network of organizations, the density map of countries and the co-occurrence of words.

The results stated that the highest and lowest scientific productions in the focused area were in 2021 and 2012, respectively. According to the data obtained from the VOSviewer software, there are 36 nodes and 335 links in the map. The topics of "higher education", "sports science", "performance", and "physical training" were identified as the topic clusters of the field based on the clustering of high-frequency words. The countries of Spain and Australia have more density in articles than Italy, Germany, Turkey and republic of China (p<0.01). The cluster analysis of the co-authorship network of countries in the field of sports sciences states that the network consists of 5 distinct clusters.

The convergence of various words such as "exercise", "education" and "sports" in drawing the scientific map illustrates the importance and necessity of the awareness in researchers interested in the topic, who can introduce the best author, country and organizations and also draw a proper picture and insight of the process and content of this field.