جستجوی مقالات مرتبط با کلیدواژه "wos" در نشریات گروه "کتابداری و مدیریت اطلاعات"

Citation analysis plays an important role in research evaluation processes and their results are widely available to researchers for review and use. Citation is a scientific index that is used to evaluate the impact of science. The most important application of citation analysis is science policy making and research evaluation. In order to have a constant growth of coverage as well as to increase the accuracy in crediting for publication of large citation databases, the analysis of indexes of their scientific publications should be evaluated and reviewed by users and researchers to have appropriate measures for them. Scopus, WOS, and Mathscinet citation databases rank the journals using their own indexes and then classify them into four qualitative categories based on the quartile of their index. These categories represent the value of citing sources in the journals. One of the factors of choosing a journal to submit articles is the quality category or the ranking of that journal in citation databases. Therefore, the classification of journals is of great importance in terms of quality. The existing method in citation databases for categorizing journals is not a suitable method; Because from a statistical point of view, the statistical distribution of these indexes is not taken to find their quartile. In the research, we introduce citation databases in some related branches with references to their articles. In each database, the collection of journals is divided into four identical categories based on their indexes, which are: Q1 category includes journals with the highest value, Q2 category includes journals of the second category of values, Q3 categories include journals of the third category of values and Q4 categories include journals with the lowest value. These quadrants do not show the quality of the articles, but the quality of the journals in terms of citations. Scopus, WOS, and MathSicNet databases and their indexes are evaluated in the paper. The aim of this study is introducing the new methods for assessing the validity of journals in Scopus, WOS, and Mathscinet database. Also, the categories are compared by using descriptive statistics as well as different parametric and non-parametric statistical inference methods.

Using official and registration statistics and by referring to Scopus, WOS and Mathscinet databases, extract the list of journals along with their ranking index. In other words, in this research, census is used as a statistical survey method. Excel 2013 spreadsheet was used to data registry. After collecting the data, by using parametric (based on statistical distribution) and non-parametric methods, their quartiles were calculated according to specific index for each database and quartile quality categories were defined and journals were categorized accordingly. Then, by using the contingency table and the Kappa agreement coefficient, the agreement was measured. SPSS (version 23) software was used to perform the Kappa agreement coefficient test, and EasyFit (version 5.5) software was used to obtain the quartiles by parametric method using their distribution. In this way, the classification of the database is compared with the classification obtained from two non-parametric and parametric methods. The significance level of the tests throughout this research is set as 5%.

The classification of statistical and mathematical journals in MathSciNet database based on the parametric and non-parametric methods has been compared as well as in two fields, pure and applied. The results show that the p-value of the Kappa agreement coefficient is less than 0.001, which is less than the significance level of the test, i.e. 0.05. So, it can be said that the Kappa coefficient for these categories is not zero. It is concluded that non-parametric and parametric methods have no difference in obtaining pure and applied categories. The amount of Kappa coefficient indicates a high agreement both for the classification of two non-parametric and parametric methods and for the pure and applied fields of this database. Also, in comparison of parametric and non-parametric methods of pure and applied fields in statistics based on the MCQ index in the Mathscinet database, the accuracy of these comparisons in pure and applied fields is equal to 79.44% and 97.11%, respectively, and the degree of misclassification 58.6% and 2.89% were obtained, respectively. The results show that the proposed methods to categorize the journals in each database, are more accurate and more efficient, and categorize the journals according to their actual validity.

The parametric method is more accurate than the classification method in the three databases, because the parametric method pays attention to the statistical distribution of the journals ranking index. Therefore, the parametric method, in addition to more accurate classification of journals based on quality, helps researchers to be able to more accurately and efficiently select the journal according to its qualitative category. Also in this paper, an attempt was made to provide a kind of classification for mathematics and statistics journals.

study and analyze the situation of scientific diplomacy in Iran in the last half century and to compare the pattern of cooperation of the authors of articles based on the citation index of Web Science during the years 1975 to 2022.This research is of applied scientometric type. The research population included all joint scientific products of Iran in the international web-based citation database with foreign countries during the years 1975 to 2022. The pattern of joint Iranian scientific productions has been studied and analyzed during this period.International scientific products of Iran during the years 1975-2022 were examined and analyzed in the WOS International Index. The findings show that over the past half century, the United States, Canada, the United Kingdom, Australia, Germany and China have been at the forefront of Iranian scientific diplomacy. Iran ranks 21st in the world in scientific diplomacy in 2017, which in 3021 has reached 30th.The research findings also showed that most of Iran's scientific productions were in the form of scientific papers and then conference papers. Papers presented at international conferences are a clear symbol of scientific diplomacy. Accordingly, 56,190 papers presented at international scientific conferences were indexed on the website of the Science, which accounted for about 8.5% of Iran's scientific production in the last half century (the total number of Iranian scientific production was 676690). The growth trend of papers presented in international scientific conferences in the last ten years showed that the most scientific papers of international conferences in 2015 (3959 papers and 7.04% of the total papers presented), 2014 (3714 papers and 6.6%, respectively). Total articles submitted) and 2017 (3334 articles with 5.6% of total articles) and the lowest number of articles in 2022 (3 articles with 0.005% of total articles), 2021 (631 articles and 1.12% of total articles) And 2020 (1750 papers and 3.11% of all papers submitted) presented at international conferences indexed by WOS.From 2019 to 2022, when the world was infected with the COVID -19 virus and its various strains such as Delta and Omicron, etc., we saw the least international participation in the field of international conferences. This influenced scientific diplomacy, which seems natural

The aim of this study was to investigate the status of publication, drawing the scientific structure and citation analysis of scientific products of Urmia University.

The present research has been done in terms of applied purpose and in terms of descriptive-analytical methodology with scientometric approach. The required data has been collected through the web site of Science. The research community of this research includes 5837 scientific productions of the faculty members of Urmia University, which have been indexed in the web-science database from 1982 to 2019. To answer the research questions, web-based database analysis was used, as well as Excel software, website, CRExplorer and VOSViewver.

The findings indicate that the scientific production of Urmia University has had an upward trend but its growth rate has fluctuated. The average growth rate of Urmia University is 31.85%. Co-authorship indicators have shown the willingness of faculty members to collaborate in scientific production. Urmia University has the highest scientific cooperation at the national level with the Azad University and in the international arena with American universities. The level of cooperation between Urmia University and Iranian organizations is high and in contrast, scientific cooperation at the level of international organizations is low. The most busy subject areas in Urmia University are related to engineering, chemistry, agriculture, physics, veterinary medicine, materials science and computer science, respectively. Although most of the humanities disciplines are available at Urmia University, The most prolific and most cited members are professors in the field of technology and engineering.

This study aims to investigate the interdisciplinary relationships of biomedical engineering with other scientific domains in WoS during the period 1997 to 2017.

The method of the present study is descriptive survey-analytical with a quantitative and scientometric approach. The study population consisted of 9100 articles related to biomedical engineering indexed in the WOS for 21 years. 955 articles were selected through stratified random sampling.

Scientific production in the field of biomedical engineering from 1997 to 2017 has a growing trend. The tendency to co-authorship with a collaboration coefficient of 0.77 in this field is high. Data visualization showed that "biomedical engineering", "materials science - multidisciplinary", "polymer science", "electrical and electronic engineering" and "tissue and cellular engineering" are the most frequent and effective fields.

Conclustion: 

The process of research and scientific and hot topics in this field and common fields and their impact has led to the emergence of new fields of study in this profession. Since the group collaboration rate of researchers in this field is at a high level, researchers can contribute to the advancement and development of biomedical engineering through wider communication with each other.