هم تالیفی

Sharing resources and facilities, leveraging each other's experiences, and enabling interdisciplinary research are the benefits of co-authorship. The aim of this study was to investigate the co-authorship status of the scientific productions by Afghan researchers to plan the expansion of collaboration and employment of these researchers in migration destination countries, especially Iran.

This quantitative study examined 2732 articles indexed in Scopus with at least one Afghan author from the beginning of indexing in Scopus to September 2021. Statistical methods and analysis of the co-authorship network were used to analyze the data, via Python 3 language and VOSviewer 1.6.17 and Gephi 0.9.2.

The most scientific outputs of Afghan researchers are devoted to the writings of the medical field with 40.41%. The next scientific fields with a large difference are social sciences (15.67%), biological sciences (11.16%), and engineering (10.94%), respectively. The co-authorship network of Afghan researchers and their colleagues consisted of 13,379 nodes (researchers) and 2,511,879 weighted edges (co-author relationships). Afghan researchers collaborated most frequently with researchers from the United States. Iran, despite its geographic and cultural proximity, ranks fourth among its colleagues. America is followed by England and India.

Co-authorship varies among researchers in different scientific fields. The median number of authors of each article in dentistry, biochemistry and other majors close to medicine and basic sciences was about three times that of theoretical majors such as social sciences, arts and humanities.

Transgenic species are the ones whose genomes are genetically modified. The transgenic field is one of the areas that has a high importance and position in the world. Therefore, the aim of the present research is to draw and analyze the co-authorship network of researchers in transgenic subject area.

The type of this research is descriptive and was carried out using scientometric techniques such as co-authorship network and social network analysis indices. In this study, 23,456 articles by transgenic researchers indexed in the Web of Science database during the period 2010-2019 were retrieved. VOSviewer and UCINET software were used to draw the co-authorship map and analyze the network indicators.

The scientific cooperation network of transgenic researchers was studied and analyzed using macro and micro indicators of the social network. The status of macro indicators was not appropriate and the network was poorly cohesive. So that, the network density was 0.027, the clustering coefficient was 0.834, the diameter was 15 and the average distance was 4.155. In terms of micro-indicators, the status of researchers in the network was determined in such a way that David Ayares had the most cooperation with other members and also Nam-Hai Chua played the most important role in communicating with people from different clusters of the network, finally, Yan Zhang had the shortest distance with other members of the network.

Based on the findings, it can be concluded that the co-authorship network of transgenic researchers has low cohesion and information is transmitted among members at a low speed. With respect to this, status of different researchers in this study was determined, the results of this study can be used to guide future collaborations, and encourage universities and scientific institutes to develop their interactions with each other and further strengthen collaborations. It should also be noted that according to the findings of the study in this field, Iranian researchers were not identified as key individuals in this network, which requires research on the status and position of Iranian researchers in the field of transgenics.

The aim of this study was to examine the status of documents related to coronavirus based on scientometric indicators and to draw a co-authorship map of authors, organizations and countries producing an article to get to know this field as much as possible.

This applied-scientometric was conducted using social network analysis. The statistical population of this study was all published documents related to coronavirus from 1985 to 2019 in Web of Science (WoS), and finally, 6980 documents were retrieved. Then, VOSviewer was used to analyze and draw the co-authorship map.

Among the top authors in the field of coronavirus, “Christian Drosten” with 85 documents and 4835 citations, “Yuen Kwok-Yung” with 70 documents and 3862 citations as well as “Patrick CY Woo” with 49 documents and 3160 citations have achieved the first to third place in terms of the number of co-authorship in this field, respectively. Moreover, the top authors, countries and organizations in the field of coronavirus had 11, 9 and 12 thematic clusters, respectively.

In this study, the results of co-authorship network analysis on coronavirus allow researchers to learn about the relationships between important elements and identify key individuals, organizations and countries in this field. Besides, the results of this study can pave the way for cooperation and knowledge sharing among experts in this field with other scientific fields.

Proper planning to increase the scientific collaboration of Iranian nursing specialists with the global scientific network in their field can improve the level of this field of healthcare in this country. Therefore, it can upgrade the quality and quantity of nursing services. In this regard, this study aimed to identify the effective factors and barriers to international scientific collaboration from the viewpoint of Nursing Faculty Members.

The present applied research was conducted based on a descriptive survey (cross-sectional) design during the spring and summer of 2020. Statistical population of the study included 249 nursing faculty members whose names are listed in the Iranian Scientometric Information Database. The data were collected through self-report questionnaires with three sections, nine subsections, and 91 items. It should be mentioned that the validity and reliability of the questionnaire were investigated by experts and Chronbach alpha, respectively. The collected data were analyzed using descriptive statistics and statistical tests in SPSS software (version 21).

Based on the findings, "communicational factors" and "process-structure factors" with mean scores of 4.03 and 3.87 were the most important barrier and effective incentive (effective factor), respectively, regarding the international scientific collaboration of university members. Moreover, the components of “lack of scientific communication channels to contact foreign researchers and colleagues" and "compatibility between faculty members regarding issues, such as working and writing style" with mean scores of 4.13 and 3.98 were the most important barriers and influencing factors, respectively.

Undoubtedly, the development of scientific, educational, and research exchanges between Iranian nursing specialists and their foreign counterparts will lead to scientific progress and development in their field. Therefore, they will be able to provide higher levels of health and nursing services within the health system of our country. Consequently, the faculties, universities, and at the top of them, the Ministry of Health and Medical Education are recommended to develop plans and policies to strengthen effective factors and remove obstacles and challenges.

In recent years, journals and quarterly journals have placed a great emphasis on increasing scientific collaboration in articles. Therefore, in this paper, the analysis of social networks was used to determine the co-authorship structure between researchers and drawing keyword co-occurrence network in the Journal of Public Management Research of Sistan and Baluchestan University.

This applied study was done by using a scientometric method. The statistical population of the study was 310 articles indexed in the Journal of Public Management Research from 2015 to 2019, collected using Publish or perish software and RIS addressing. The VOSviewer was used to draw co-authorship patterns as well as Excel and SPSS were applied to answer the research hypotheses.

The analysis of the co-authorship pattern suggested that each article had 3.2 authors in this Journal. Moreover, the most prolific authors in this Journal according to the co-authorship network due to the number of articles and collaborations were: Adel Azar, Noor Mohammad Yaghoubi, Fariborz Rahimnia, and Abdolmajid Imani. An examination of the Keyword Co-Occurrence network showed that the issues such as knowledge management (15), entrepreneurship (10), organizational citizenship behavior (9) and organizational commitment (8) were the most important subjects. Besides, the evaluation of the difference between men and women showed that with a t-value of 7.379 (p = 0.000), there was a significant difference between women and men in writing articles.

The analysis of the co-occurrence density map indicated that the topics of the papers were aligned with the new topics of management. Furthermore, the results demonstrated the high level of group participation in this journal.

Recognizing the current situation and comparing research activities on various topics has made it important today to evaluate research activities using scientometrics techniques. The purpose of this study was to conduct co-word and co-authorship analysis of the articles published in the Journal of Health Information Management (JHIM) from 2009 to 2018.

The data for this study were extracted from Islamic World Science Citation Center(ISC). The statistical population of the study consisted of 807 articles published in the JHIMin a ten-year period (2009-2018).

Isfahan University of Medical Sciences was the most prolific institution with the production of 236 articles. Over 94% of articles werepublished collaboratively. Mohammad Hossein Yarmohammadian had the highest scores in terms of centrality indicators. The keyword "hospitals" was the most frequently used keywords in the JHIM. Hierarchical clustering indicated seven clusters with the themesofhospital services and performance, knowledge management in universities, hospital information systems, quantitative measurement studies of health information, health Indicators, health information management and technology, and quality of health care in hospitals.

The scientific collaboration approach among authors has been relatively good at producing scientific works. However, there are several authors with a limited number of articles. There are also a small number of core institutions and universities in producing scientific worksin the field of health information management. With the exception of the knowledge management cluster at the universities, all the obtained clusters are aligned with the journal's thematic axes.

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 collaboration is a process in which two or more authors share their ideas, resources, and data to create a joint work. This research attempted to study co-authorship, being a kind of scientific collaboration, in Iranian cardiovascular articles in Web of Science during 2002-2011.

The present research is. The population of this descriptive-analytical research study constituted Iranian cardiovascular articles indexed in WoS during 2002-2011. Indicators such as Collaboration Index (CI), Degree of Collaboration (DC) and Collaboration Coefficient (CC) were calculated to measure level of collaboration.

Articles published in cardiovascular field showed an ascending trend especially since 2002. Three-authored articles were the most and personal articles were the least frequent ones. Scholars were shown to be more interested in national collaboration based on Nationalization Index and according to collaboration indicators, scientific collaboration of cardiovascular researchers is also increasing.

Year 2002 can be considered as the inception of growth in scientific activities in cardiovascular field. Considering the interdisciplinary nature of the field, the present more tendency to scientific collaboration is an advantage that can play a major role in causing drastic improvements.