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Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

The purpose of this paper is to provide theoretical basis and data support for researchers to choose appropriate international partners, provide a basis for Chinese research funding agencies, such as National Natural Science Foundation of China (NSFC) to formulate international research collaboration (IRC) strategies and policies and provide recommendations for the improvement of the internationalization level of China's basic scientific research.

Based on existing research, this study took output of “Major International (Regional) Joint Research Project” (MIJRP) funded by NSFC and participated by Chinese scholars in the meantime as the analysis object, proposed hypotheses and constructed the indicators of IRC and research output (RO). In addition, the mathematical statistics was used to compare the RO of China's IRC and nonIRC, and the statistical analysis model was used to measure the influence on RO of collaboration country's research capacity, research collaboration between China and US, scope of international research collaboration and reprint author country.

The RO of China's IRC is higher than that of nonIRC; research capacity of collaboration country has no inevitable effect on the RO of China's IRC; the RO of China's IRC participated by Americans is higher than that without American scholars; expanding the scope of China's IRC to some degree can increase RO; the RO of China's IRC led by foreigners is higher than that led by Chinese. In particular, China–US IRC and foreign scholars acting as the reprint author are two major factors for the RO of China's IRC.

Most of the traditional research on IRC are based on the co-author papers, and this study tried to analyze the characteristics and regularities on IRC from a new view of international collaboration projects, which can be a supplement to the traditional international collaboration research on co-author papers.

Scientific collaboration is becoming a common pattern in the social organization of knowledge production. The paper tries to figure out the relationship between scientific collaboration team size and scientific output.

Based on ESI database from year 2009–2019, the paper describes changes of collaboration team size from one author to more than 10 authors in 22 disciplines. Kernel density estimation and multidimensional kernel density estimation method are used to calculate optimal collaboration team size and appropriate collaboration team size in 22 disciplines. As bandwidth is one of the major issues in construction of kernel density estimation, the paper uses five different algorithms to calculate bandwidth. The method with the lowest mean absolute percentage error is chosen. Robustness test is conducted based on different sets of data.

The results show that scientific collaboration becomes more widely and deeply. As time goes by, collaboration team size is becoming larger and larger. Natural science disciplines have larger collaboration team size and faster growth rate than social science disciplines. Considering both qualitative and quantitative measures, the paper proves the universality of optimal and appropriate scientific collaboration team size among 22 disciplines and calculates the specific number.

The paper tries to investigate the law of scientific collaboration team size variation and provide a full picture of evolution of collaboration team size among 22 disciplines in 10 years. The paper first applies distribution method to figure out the relationship between scientific collaboration team size and scientific output and provides optimal collaboration team size and appropriate collaboration team size.

This study aims to adopt cloud technology and develop a “cloud bookcase system” to make it possible to provide consistent mobile reading experiences to allow readers to use all kinds of mobile devices to read e-books.

This study implements a cloud bookcase and uses four indicators (system quality, information quality, service quality, user satisfaction) to evaluate the system for reading e-books.

After completing the system, the authors used a questionnaire to evaluate the system. The results show that the quality can meet the needs and satisfaction of users. Subsequent interviews with some of the participants also reveal the biggest concerns of readers include library policy, resources and system quality.

System quality, information quality, service quality and satisfaction are adopted as the indicators to assess the ratings from people using mobile devices to read e-books on the cloud bookcase system developed in this study to evaluate whether the cloud bookcase system is a successful information system as well as the relations between mobile device factors and user ratings. The results indicate that the ratings from more than half of the readers for the system, as shown in the various indicators, achieve more than 60%. From the interview results, the results show that some participants also reveal there is still room for improvement in some areas.

This study implements a cloud bookcase and there are three contributions: (1) the cloud bookcase system developed in this study based on related theories proves able to meet the needs of users, (2) this system had high ratings for all four indicators, (3) the interview responses reveal that most people regard system quality as the most important, and some of the people value some of the items more, including library policy, readers' interests and more resources, especially the number of e-books available.

The purpose of this paper is to reveal the distributional characteristics and evolutional patterns in source periodicals, topics, authors, funding, and institutes of research papers in Chinese Agricultural Economics so as to understand the current situations and developmental tendency of Chinese agricultural economics research over the past decade.

Using the citation analysis method, this paper analyzed the distributional characteristics and evolution of source periodicals, fields, authors and topics of 2,203 highly cited journal papers from the database of China National Knowledge Infrastructure (CNKI) and 189 cited journal papers from database of Social Sciences Citation Index (SSCI) in agricultural economics first-authored by Chinese scholars from 2006 to 2015.

First, over the past decade, agricultural economics research in China has seen a rapid development. Specially, 103 scholars and 42 institutes have played key roles in the development, and 12 Chinese periodicals and 3 international journals have been the most influential outlets. Second, the coverage of the topics in Chinese agricultural economics research is broad and has expanded over the past decade. The rural land issue has been the most popular topic, while the issues regarding rural institutional arrangements and industrialization in rural areas have been explored extensively. However, issues in other fields, such as agricultural markets and trade, rural labor, food safety, etc. have to be further studied. Third, the improvements of economic theory and quantitative analytic techniques, the supports from research funding, and an increase in the collaboration between Chinese scholars and those from other countries have made great contribution to the rapid development of Chinese agricultural economics research over the past decade.

This paper is an original work that identifies the most influential journal papers including highly cited journal papers from CNKI and cited journal papers from SSCI, using citation frequency and standard Essential Science Indicators method. This is a contribution relative to the methods used by previous studies, which did not account for frequency of citation of a paper. Moreover, this study is based on data from two databases, CNKI and SSCI, suggesting that the coverage of sample papers is broader compared to those of previous studies.

This paper's aim is to examine the citation impact of Iranian funded research publications and compare it with research which received no funding.

Using a bibliometric method, the study investigated 80,300 Iranian publications published from 2000 to 2009 in SCI‐EXPANDED to discover the percentage of funded publications and to determine the citation impact of these publications in comparison with unfunded ones.

The results of the study showed that around 12.5 per cent of Iranian publications were funded and the number of funded publications has increased dramatically over the last four years. The citation impact of funded publications was higher in almost all of the subject fields. The highest number of funded publications belonged to the universities subordinate to The Ministry of Science, Research and Technology.

The impact and quality of research is influenced by different factors, for instance receiving funding and research facilities. As this issue has not been previously examined in Iran, the present study determines whether funding can influence the impact of Iranian research.

The purpose of this study is to evaluate the scientific performance of universities by extending the application of the h‐index from the individual to the institutional level. A ranking of the world's top universities based on their h‐index scores was produced. The geographic distribution of the highly ranked universities by continent and by country was also analysed.

This study uses bibliometric analysis to rank the universities. In order to calculate their h‐index the numbers of papers and citations in each university were gathered from Web of Science, including the Science Citation Index and Social Science Citation Index. Authority control dealing with variations in university names ensured the accuracy of each university's number of published journal papers and the subsequent statistics of their citations.

It was found that a high correlation exists between the h‐index ranking generated in this study and that produced by Shanghai Jiao Tong University. The results confirm the validity of the h‐index in the assessment of research performance at the university level.

The h‐index has been used to evaluate research performance at the institutional level in several recent studies; however these studies evaluated institutions' performance only in certain disciplines or in a single country. This paper measures the research performance of universities all over the world, and the applicability of the h‐index at the institutional level was validated by calculating the correlation between the ranking result of the h‐index and the ranking by the Shanghai Jiao Tong University.

The purpose of this paper is to use scholarly communication and citation data to rank the universities in a developing country perspective in Bangladesh.

This paper used publication and citation data from Scopus to rank the universities in Bangladesh. The number of papers published in each year during 2008-2018 by the select 33 universities, faculty per capita, the two-year citations and the number cited articles were used to arrive at a yearly weighted score and overall score for each university. The overall score was used to produce the ranking of the universities in Bangladesh.

The findings indicate that the ranking system can be implemented at the national level as an annual exercise to rank the higher education institutions in developing country perspective.

This is the first time an effort has been made to rank the universities in Bangladesh using publication and citation data. The findings of this paper could help policymakers, administrators and academicians to understand how the universities are performing in terms of scholarly activities.

Citation and ranking information are becoming key aspects of knowledge management in academic and research institutions. By examining changing user needs and products, this paper aims to encourage information professionals to better understand and manage these resources and better respond to user needs.

Literature reviews, work with faculty clients and initial product testing are used to present coherent information on the current climate and practice of competitive analysis of researchers and their institutions.

As more sources for citation information have become available – even many scholarly databases today offering cited reference data – the need to identify, access and manage these resources is becoming acute. Information professionals need to become more proactive in their strategies to support these applications and users.

This article builds on previous analyses of the roles and nature of citation analysis in research institutions and examines potential new roles and contributions that information professionals can take on to better serve their users.

The citation counts are an important indicator of scholarly impact. The purpose of this paper is to explore the correlation between citations of scientific articles and writing styles of abstracts in papers and capture the characteristics of highly cited papers' abstracts.

This research selected 10,000 highly cited papers and 10,000 zero-cited papers from the WOS (2008-2017) database. The Coh-Metrix 3.0 textual cohesion analysis tool was used to quantify the 108 language features of highly cited and zero-cited paper abstracts. The differences of the indicators with significant differences were analyzed from four aspects: vocabulary, sentence, syntax and readability.

The abstracts of highly cited papers contain more complex and professional words, more adjectives, adverbs, conjunctions and personal pronouns, but fewer nouns and verbs. The sentences in the abstracts of highly cited papers are more complex and the sentence length is relatively longer. The syntactic structure in abstracts of highly cited papers is relatively more complex and syntactic similarities between sentences are fewer. Highly cited papers' abstracts are less readable than zero-cited papers' abstracts.

This study analyses the differences between the abstracts of highly cited and those of zero-cited papers, reveals the common external and deep semantic features of highly cited papers in abstract writing styles, provide suggestions for researchers on abstract writing. These findings can help increase the scientific impact of articles and improve the review efficiency as well as the researchers' abstract writing skills.