نشریه علم سنجی کاسپین
سال ششم شماره 1 (بهار و تابستان 1398)

The Scientific Quality Index (SQI) was proposed as a qualitative index in 2017 to evaluate the scientific outputs of researchers. In this article, in addition to introducing this index, the results of the most recent researches using this index are mentioned to provide the necessary background for related researches within the country.

Matthew's value is an index that examines the visibility of a journal's articles over the past five years. In this study, the agricultural journals were evaluated using this index during 2010- 2016.

The statistical population of this citation analysis study consisted of 171 journals indexed in Scopus. The data were collected using the SCImago, and the Kolmogorov-Smirnov, Spearman correlation coefficient and Pearson correlation tests were applied to prove the relationship between Hirsch (h) index and Matthew’s value.

A total of 4037 Iranian articles were published in 171 studied journals. The highest rate of acceptance of agricultural articles by the journals was 237 articles, the highest h-index was 193 and the highest Matthew’s value was 12.253, which belonged to European and American journals. Correlation coefficient test confirmed the positive relationship between h-index and Matthew’s value.

Increasing scientific outputs in the field of agriculture does not necessarily lead to increased citation; therefore, both quantity and quality should be considered in scientific outputs.

The aim of the current study was to draw up a co-citation map of prominent researchers in the medical and laboratory equipment based on the scientific articles indexed in the Web of Science (WoS).

This scientometric study was carried out using co-citation analysis. The statistical population of this study was all articles in the field of medical and laboratory equipment indexed over 30 years (1984-2014) in the WoS. In the current study, UCINET and its NetDraw were used to draw scientific maps and SPSS was applied for hierarchical clustering.

The findings showed that Aaronson NK is the most cited researcher in the field of medical and laboratory equipment in terms of total citations received. Moreover, data related to co-citation data of authors indicated that Craig R-Millon T had the highest co-citation rate (33 cases) with each other. Among the high
co-citation of subject categories of articles related to medical and laboratory equipment, the "medical equipment" and "medicine" had the highest rank in degree centrality index, betweenness and closeness. Analyzing the findings of the
co-citation articles led to the formation of 7 clusters (neurological disorders, cardiovascular disorders, immunology, diagnostic and treatment equipment cluster, cancer and chemotherapy, public health and microbiology).

Creating a co-citation link among authors in the field of medical and laboratory equipment reflects the intellectual connection among the authors of this field of science, and all high-article authors of the medical and laboratory equipment are not necessarily influential, high-citation and high- centrality authors.

The aim of this study was to evaluate the scientific outputs and map the co-authorship network of mathematics, physics and chemistry researchers of Azarbaijan Shahid Madani University (ASMU).

This applied study was conducted using scientometric method. The statistical population of the study was the indexed records
(2012-2018) in the field of chemistry, mathematics and physics of ASMU’s researchers in Web of Science (WoS). VOSviewer was used to draw scientific maps as well as T-test, analysis of variance and regression analysis were applied to answer the research hypotheses.

According to the findings, 57% of the scientific outputs of ASMU were published (2012-2018) by researchers in three fields of mathematics, chemistry and physics. The results indicated that the first ranks of scientific collaborations in the co-authorship network under the fields of mathematics, chemistry and physics were Sheikholeslami (160), Sardroodi (54) and Jamshidi-Ghaleh (47), respectively. Moreover, the most effective author of ASMU was Rezapour with 430 citations and 46 papers. The mean scientific outputs were significant in terms of academic rank (Sig=0.000) and gender (Sig=0.001).

The results have suggested that the researchers with the ability to produce more articles and scientific collaboration play an important role in the
co-authorship network. Further, it can be expected that the scientific outputs of faculty members will enhance with the increase of "employment year" and "academic rank".

Scientific productions can be studied from a variety of dimensions one of the most common of which is the drawing of scientific maps that can provide a clearer and more comprehensive view of the required analyses. The aim of this study was to draw and analyze the thematic map and co-authorship network of the articles of the Journal of Research on Addiction.

This descriptive-analytical study was performed based on a scientometric approach using co-word and network analysis. The research population was all articles of the Journal of Research on Addiction from 2005 to 2018. RavarMatrix, UCINET and NetDraw were used to analyze the data.

Data analysis showed that 463 articles were published in this Journal in 2005-2007. The analysis of co-word map of the articles published in the Journal of Research on Addiction indicated that subjects such as addiction, addict, drug abuse, attitude, dependence, craving, women, depression, addiction preparation, mental health, quality of life, students and self-efficacy were among the most important issues. Moreover, drawing and analyzing the co-authorship network of these papers illustrated six clusters. The study of centrality indicators represented that Mohammad Khani, Mohammadifar and Najafi are the most important authors.

The co-word map suggested that the thematic approach was more psychological than medical. Therefore, it is necessary to determine various thematic ranges for this Journal and to consider other types of addiction.

The scientometrics are one of the most efficient methods of evaluating scientific outputs. The aim of the present study was to investigate the scientific outputs of all information management researchers in the Web of Science (WoS) in 2000-2018.

This applied study was performed using co-word analysis. The statistical population included all scientific outputs (n=2810) of information management researchers, indexed in ISI during 2000-2018 (2810 records). The required data were collected from the mentioned database through entering “information management” words into the subject field and compiled into Excel as well as the required tables and charts were drawn. Moreover, the data needed to draw the maps in Tab Delimited format were collected and entered into Excel software. Co-authorship maps of institutions and countries were then drawn for visualization using VOS-Viewer software.

The results showed that the most productive topics were in the fields of computer science as well as information engineering and library science. China, the United States (US) and the United Kingdom (UK) were ranked first to third in science production. The US, UK and Germany were ranked highest in cooperation between countries, respectively. The Washington University had the most scientific outputs, and the universities of Leipzig, Wisconsin, Heidelberg, Amsterdam, Carolina, Washington and so on were top in inter-university collaborations.

The results showed that during this period, the data release process had many ups and downs. Acquiring top ranks in the production of science by developed and modern countries such as the US, UK, China and Germany has indicated that the use of new technologies, information tools and modern information sources plays a leading role in the agility of science production. The universities both are empowered and play a significant role in the advancement of science in this way. Therefore, other countries should make additional efforts to achieve this by using a knowledge sharing and networking approach. They must be members of information networks to find partner and co-authoring couples and enjoy free information services.