Degree Of Collaboration In Research Research Articles

Influence of publication on university ranking: Citation, collaboration, and level of interdisciplinary research

The rank of a university has been widely perceived as a reputation measure that is often determined based on the comprehensive overview of various factors. Among the factors, publication is imperative and carries a significant weight in almost every university ranking system around the globe. To reveal how publication may influence university ranking, we investigated the 2020 US News Best Global Universities Ranking results and analyzed different publication related criteria, including discipline coverage, publication productivity, research impact, level of interdisciplinary research, and degree of research collaboration. Shannon index and Field-Weighted Citation Impact (FWCI) index were calculated to compare universities at four levels (i.e. top50, top100, top200, and top500). Results showed that the top50 universities cover nearly all majority disciplines, at least half of which rank among the global top 10%. Top50 universities are also featured with high publication numbers, high-impact factors, and broad network for international collaboration. The top200 universities showed a relatively longer history of carrying out high level of interdisciplinary research compared to the universities belonged to the remaining category in which interdisciplinary research was mostly started less than a decade. More than two-thirds of surveyed universities with Shannon index above 2.5 and Field-Weighted Citation Impact (FWCI) above 1.5 shows that interdisciplinary research promotes the quality of publication. Universities small in size and focused on specific academic themes can earn top ranking spots based on their extraordinary academic performance, but the current ranking method results in more favor of the large comprehensive universities. In seeking for higher-ranking within the top200 category, in addition to expanding in campus size, increasing the number of academic programs, and encouraging more publications, university decision makers should value the efforts to develop leading academic disciplines, enable broad international collaborations, and promote new interdisciplinary programs.

Scholarly communication and authorship patterns in language research: evidences from citation analysis of language theses in Nigeria

Investigation into citation and authorship patterns in language and linguistics research is of serious interest to librarians and researchers. The purpose of this paper is to examine scholarly communication behaviour in languages using theses and dissertations to enhance collection development policy in linguistics research. Bibliometric and informetrics indicators were used to examine a total of 87 theses and dissertations submitted to the Department of Linguistics and Nigerian Languages from 2005 to 2014. A retrospective descriptive study was conducted using bibliometric indicators such as types of cited sources, timeliness of cited sources, authorship pattern, rank list of frequently cited books and degree of research collaboration. A total of 5084 bibliographic references were extracted from the theses with an average of 58.4 citations per theses. Books and monographs dominated the entire citations with 63.6% while journal citations were 17.9%. Electronic resources accounted for 15.4% of the citations. This study provides useful evidence to librarians who would be interested in developing the language library collections. Monographs have been found to be more useful for language researchers and collection development librarians will be guided in policy formulation particularly academic libraries where language research needs to be supported. There has been paucity of citation studies in the humanities generally and linguistics in particular. This study is an original research adopting bibliometric approach to examine scholarly communication in language and linguistics using University of Nigeria, Nsukka as a case study. Keywords: Bibliometrics, Citation Analysis, Authorship Pattern, Information Science, Language Research, Scholarly Communication

The importance of national and international collaboration in adult congenital heart disease: A network analysis of research output

BackgroundThe determinants of adult congenital heart disease (ACHD) research output are only partially understood. The heterogeneity of ACHD naturally calls for collaborative work; however, limited information exists on the impact of collaboration on academic performance. We aimed to examine the global topology of ACHD research, distribution of research collaboration and its association with cumulative research output. Methods and resultsBased on publications presenting original research between 2005 and 2011, a network analysis was performed quantifying centrality measures and key players in the field of ACHD. In addition, network maps were produced to illustrate the global distribution and interconnected nature of ACHD research. The proportion of collaborative research was 35.6 % overall, with a wide variation between countries (7.1 to 62.8%). The degree of research collaboration, as well as measures of network centrality (betweenness and degree centrality), were statistically associated with cumulative research output independently of national wealth and available workforce. The global ACHD research network was found to be scale-free with a small number of central hubs and a relatively large number of peripheral nodes. In addition, we could identify potentially influential hubs based on cluster analysis and measures of centrality/key player analysis. ConclusionsUsing network analysis methods the current study illustrates the complex and global structures of ACHD research. It suggests that collaboration between research institutions is associated with higher academic output. As a consequence national and international collaboration in ACHD research should be encouraged and the creation of an adequate supporting infrastructure should be further promoted.

A bibliometric analysis of cancer research in South Africa: study protocol

IntroductionCancer is an important and growing public health burden in South Africa (SA). Over the past few decades, there has been considerable scientific activity in cancer in SA. However, there...

Citation Analysis and Authorship Patterns of Two Linguistics Journals

This article analyzes the sources cited in articles published in two linguistics journals, Applied Linguistics and Journal of Linguistics , from 2001 to 2010. A retrospective descriptive study was conducted using bibliometric indicators, such as types of cited sources, timeliness of cited sources, authorship patterns, rank lists of the most frequently cited journals and authors, degree of research collaboration, and yearly distribution of articles in the journals. A total of 884 papers were reviewed. The papers analyzed provided a total of 15,283 bibliographic references, with an average of 17.2 citations per paper. References to books and monographs dominated, making up 53.3 percent of citations, while references to journals accounted for 35.9 percent. More than 70 percent of the cited sources exceeded ten years old. Findings also revealed that sole authorship dominated reports on linguistics research. Single-authored sources constituted 63.2 percent of the cited works, while 36.8 percent had multiple authors. The degree of collaboration in linguistics research was very low, with joint research projects making up only 0.37 percent of the articles. Twenty-three most frequently cited journals were identified, with Applied Linguistics and Linguistic Inquiry ranking first and second, respectively. Similarly, twenty-eight frequently cited authors were identified, with Noam Chomsky ranking first. This study would be useful for linguistics research and for collection development of libraries, particularly academic libraries that need to support researchers in linguistics.

Scientometric Analysis of Library and Information Science Research Output in Asian Countries

This study explores that the publication trends of scholarly database of web of science in Library and information science (LIS) during 1973 to 2012. This study also reveals the trend in authorship pattern and collaborative research in network security with a sample of 388 articles downloaded from the database of web of knowledge during 1973 to 2012 (four decades) with 108 LCS and 1404 TGCS and 9958-time cited reference also measured. The growth trend is booming taken the sample duration in this field LIS research output. The study also indicates that multi-authors productivity is dominant, single research also exists. The proportion of single authored papers has shown a declining trend during the period 2002 – 2007. The degree of collaboration in research is 0.95 in network security research productivity.

Authorship trend and collaborative research in genetics and plant breeding

Study attempted to identify the authorship trend and collaborative research in Genetics and Plant Breeding, based on the data collected from the Indian Journal of Genetics and Plant Breeding published during 1998-2002. The study reveals that two authors papers are maximum 215 (44.24%). The degree of collaboration in research is 0.87 in genetics and plant breeding as a whole and ranged between 0.86 to 0.89 during 1998-2002. The contribution from research institutions and laboratories i.e., 216 (44.08%) is vividly ahead of other segments such as universities and colleges. 475 articles contributed by the Indian authors and a significant percent i.e., 107 (22.49%) is reported from Delhi State.

Identification of dependency patterns in research collaboration environments through cluster analysis

In this paper, we present a new way of detecting dependency patterns in research collaboration environments. We use co-authorship data at the organization level to measure the degree of research collaboration. Thus we adopt a special clustering technique, called ‘cross-associations clustering’, to extract the dependency patterns among research groups. To assist in evaluating the dependency patterns, we suggest a collaboration dependency index to indicate whether a research group is dependent on other groups. In our work, as target research environments, we choose four significant areas: alternative energy, water shortage, food shortage and global warming. Through extensive cluster analysis, we have found that dependency patterns exist in the areas of alternative energy, water shortage and global warming, but not in the food shortage area.

Collaborative coefficient: A single measure of the degree of collaboration in research

It is shown that the mean number of authors per paper or the proportion of the multiple-authored papers is inadequate as a measure of the degree of collaboration in a discipline. A measure which combines some of the merits of both measures is suggested and derived. This measure, called the Collaborative Coefficient, is derived for four commonly used probability distributions.

Collaborative publication and research in computer science

Study of collaboration in research and publication is examined as a means for understanding the sociological aspects of R&D and to aid in policy formulation and R&D management. Despite some limitations, nonreactive bibliometric methods are more effective than the survey method for estimating the degree of collaboration in R&D. The mean number of authors per paper and the ratio of multiple-author papers to the total number of papers published in a discipline can be used as unobtrusive indicators of the degree of collaboration in research and publication. Within computer science, there seems to be a higher degree of collaborative R&D in hardware and applications areas than in the software area. The mean number of authors per paper across all the subfields of computer science is about 1.7. The average size of collaborative R&D teams is about 2.7 persons. Computer science as a discipline is closer to mathematics than to biochemistry or chemical engineering, both of which are highly collaborative fields.