Quantitative Definitions of Collaborative Research Fields in Science and Engineering (original) (raw)
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Journal of the American Society for Information Science and Technology, 2012
ABSTRACT The growing complexity of challenges involved in scientific progress demands ever more frequent application of competencies and knowledge from different scientific fields. The present work analyzes the degree of collaboration among scientists from different disciplines to identify the most frequent “combinations of knowledge” in research activity. The methodology adopts an innovative bibliometric approach based on the disciplinary affiliation of publication coauthors. The field of observation includes all publications (167,179) indexed in the Science Citation Index Expanded for the years 2004–2008, authored by all scientists in the hard sciences (43,223) at Italian universities (68). The analysis examines 205 research fields grouped in 9 disciplines. Identifying the fields with the highest potential of interdisciplinary collaboration is useful to inform research polices at the national and regional levels, as well as management strategies at the institutional level. © 2012 Wiley Periodicals, Inc.
Scientometrics, 2019
Most of the present research problems require the participation of scientists who can bring complementary skills. For this reason, research collaboration among scientists from different disciplines have become very common in interdisciplinary science. Understanding knowledge evolution and scholarly impact of collaborative research is very important to explore its contribution to the overall progress of science over the time. With the advent of modern technologies, scientific collaboration in different research areas has been expanded not only to various sectors and industries but also across regional and international boundaries. This eventually yields scholarly competence and contributes towards knowledge evolution. Both the economic imperative demands and enrichment of individual's command of resources and techniques to address increasingly interdisciplinary research issues have triggered an upsurge in intra-and inter-country collaborative research trends. There are many bibliometric methods available in the literature for exploring various aspects of such collaborative efforts. To date, however, there is a lack of a conceptualized framework that can be followed to explore knowledge evolution and scholarly quantification for any research domain. Using metadata from scholarly publications and bibliometric methods, this study first proposed a research framework for exploring knowledge evolution and scholarly quantification of collaborative research. To understand topical knowledge evolution, collaboration dynamics and their impact on research outcomes, the proposed framework was then employed to the project management research.
The paper investigates interdisciplinarity of scientific fields based on graph of collaboration between the researchers. A new measure for interdisciplinarity is proposed that takes into account graph content and structure. Similarity between science categories is estimated based on text similarity between their descriptions. The proposed new measure is applied in exploratory analysis of research community in Slovenia. We found that Biotechnology and Natural sciences are the most interdisciplinary in their publications and collaborations on research projects. In addition evolution of interdisciplinarity of scientific fields in Slovenia is observed, showing that over the last decade interdisciplinarity increases the fastest in Medical sciences mainly due to collaborations with Natural and Technical sciences.
Bibliometrics is an emerging thrust area of research and has become a standard tool of science policy and research management in the last decades and attracted much attention because of the substantial expansion of literature. This study aims to systematically review the worldwide productivity trends, the pattern of scientific collaboration, and research outputs of Bibliometrics research from Web of Science (WoS) web database, Science Citation Index Expanded (SCI-E). A bibliographic database of scientific papers published by authors affiliated worldwide, and containing the keywords "Bibliometric(s)" or "Scientometric(s)" or "Informetric(s)" or "Altmetric(s)" was built. A corpus of 9,630 publications was obtained and analyzed using the Histcite, VosViewer, and Biblioshiny software to highlight the evolution of the research domain. Publication rates from 2006 to 2020, organization of the research, type of documents, language-wise distribution, publication and citations trend by year, most productive countries, organizations, and authors, preferred types of sources of researchers, citations, and use of influential research; top-ranked papers, most frequently used author keywords; co-occurrence network in Bibliometrics research, Trend Topics and Topic Dendrogram, Conceptual Structure Map of each word in Bibliometrics literature, Collaboration Network (Author, Institutions and Country) were considered and quantitatively analyzed. This study contributes to the Bibliometrics research field in several ways. First, it provides the latest research status for researchers who are interested in the field through literature analysis. Second, it helps scholars become more aware of the research subfields
An evaluation of collaborative research in a college of engineering
Journal of Informetrics, 2015
A frequently used measure of scientific (or research) collaboration is co-authorship in scholarly publications. Less frequently used are joint grant proposals and patents. Many scholars believe that the use of co-authorship as the sole measure of research collaboration is insufficient because collaboration between researchers might not result in co-authorship. Collaborations involve informal communication (i.e., conversational exchange) between researchers. Using self-reports from 100 tenured/tenure-track faculty in the College of Engineering at the University of South Florida, researchers' networks are constructed from their communication relationships and also from collaborations in three areas: joint publications, joint grant proposals, and joint patents. The data collection: (1) covers both researchers' in-progress and completed collaborative outputs, (2) yields a rating from the researchers on the importance of a relationship to them and (3) obtains multiple types of relationship ties between researchers allowing for the comparison of multiple networks. Exponential random graph models (ERGMs) results show that the more communication researchers have the more likely they produce collaborative outputs. Furthermore, we find that joint grant proposals tend to have mixed gender teams and that researchers of the same race are more likely to publish together, but those demographic attributes have no additional explanatory power regarding joint patents.
Bibliometric Study of Scientific Production on the Term Collaborative Learning in Web of Science
Sustainability, 2020
Currently, more and more teachers decide to follow active teaching methods, leaving behind traditional teaching methods. Among the most used pedagogical methods in the educational field is the collaborative learning. The general objective of the present investigation is to know the performance and academic development of the term "collaborative learning" in the documents collected in the Web of Science database. The research method developed was based on a bibliometric study, identifying academic performance and conceptual development, through a co-word analysis. Particularly, we have pursued four main objectives: (a) To determine the degree of performance of documents collected from collaborative learning; (b) to identify the scientific development of so-called collaborative learning; (c) to analyze the most incidental aspects of collaborative learning; and (d) to value the most representative authors who are experts in the use of collaborative learning. The total number ...
Scientometrics, 2009
Collaborative coefficient (CC) is a measure of collaboration in research, that reflects both the mean number of authors per paper as well as the proportion of multi-authored papers. Although it lies between the values 0 and 1, and is 0 for a collection of purely single-authored papers, it is not 1 for the case where all papers are maximally authored, i.e., every publication in the collection has all authors in the collection as co-authors. We propose a simple modification of CC, which we call Modified Collaboration Coefficient (or MCC, for short), which improves its performance in this respect.
, which provides better insights on research and commercialization performance of the large-scale projects. Hence, such analysis has potential for use in the industry-university project's performance evaluation.
2018
This study investigated the citation pattern of Mechanical engineering students in Landmark University, Nigeria. research projects submitted from 2015 to 201 projects were examined one after the other and the different types of cited materials were recorded according to the year. It was discovered that the citations was high and multiple authored projects accounted for the that the citations on the projects increased on yearly basis. It was also revealed that journal articles accounted for the highest number of cited documents, it was also revealed that most of the cited materials ar that the students preferred to cite multiple authored materials, it was also discovered that the degree of collaboration by the students varies. Based on this research, the paper concluded that researchers should research so as to improve the research output of the undergraduate projects.
Research Evaluation, 2009
This article analyzes, under several dimensions, if collaboration contributes to the production of high quality scientific results. It examines the proportion of scientific quality (measured by impact and relevance) gained by ISI publications considering the presence of a particular form of collaboration. As an application case, this paper offers a micro-level analysis of the academic research groups (ARGs) of a technical university. Results indicate that there are positive and significant benefits in scientific quality, received by ARGs as product of the international and inter-sector collaboration, and in a broader sense, from the presence of the inter-institutional collaboration.