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المؤلفون: Bárbara S. Lancho-Barrantes, Francisco J. Cantu-Ortiz

المصدر: Scientometrics

مصطلحات موضوعية: Higher education, business.industry, Higher education institutions, media_common.quotation_subject, Cosine similarity, Scopus, General Social Sciences, Sample (statistics), Bibliometrics, Library and Information Sciences, Article, Hierarchical clustering, Computer Science Applications, Ranking, Excellence, Similarity (psychology), Sociology, Marketing, business, Research universities, Research preferences, Scientific production, media_common

الوصف: Research universities have a strong devotion and advocacy for research in their core academic mission. This is why they are widely recognized for their excellence in research which make them take the most renowned positions in the different worldwide university leagues. In order to examine the uniqueness of this group of universities we analyze the scientific production of a sample of them in a 5 year period of time. On the one hand, we analyze their preferences in research measured with the relative percentage of publications in the different subject areas, and on the other hand, we calculate the similarity between them in research preferences. In order to select a set of research universities, we studied the leading university rankings of Shanghai, QS, Leiden, and Times Higher Education (THE). Although the four rankings own well established and developed methodologies and hold great prestige, we choose to use THE because data were readily available for doing the study we had in mind. Having done that, we selected the twenty academic institutions ranked with the highest score in the last edition of THE World University Rankings 2020 and to contrast their impact, we also, we compared them with the twenty institutions with the lowest score in this ranking. At the same time, we extracted publication data from Scopus database for each university and we applied bibliometrics indicators from Elsevier's SciVal. We applied the statistical techniques cosine similarity and agglomerative hierarchical clustering analysis to examine and compare affinities in research preferences among them. Moreover, a cluster analysis through VOSviewer was done to classify the total scientific production in the four major fields (health sciences, physical sciences, life sciences and social sciences). As expected, the results showed that top universities have strong research profiles, becoming the leaders in the world in those areas and cosine similarity pointed out that some are more affine among them than others. The results provide clues for enhancing existing collaboration, defining and re-directing lines of research, and seeking for new partnerships to face the current pandemic to find was to tackle down the covid-19 outbreak.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f88f6f8d4e38c281ca9222ecbcdbcd93
http://europepmc.org/articles/PMC7780084

المؤلفون: Bikun Chen, Fei Shu, Cassidy R. Sugimoto, Wei Quan, Vincent Larivière, Junping Qiu

المصدر: Scientometrics. 122:1683-1695

مصطلحات موضوعية: Higher education, Web of science, business.industry, 4. Education, media_common.quotation_subject, 05 social sciences, General Social Sciences, Library science, Library and Information Sciences, 050905 science studies, Computer Science Applications, Excellence, Political science, Position (finance), 0509 other social sciences, 050904 information & library sciences, China, business, media_common

الوصف: Tenure provides a permanent position to faculty in higher education institutions. In North America, it is granted to those who have established a record of excellence in research, teaching and services in a limited period. However, in China, research excellence (represented by the number of Web of Science publications) is highly weighted in the tenure assessment compared to excellence in teaching and services, but this has never been systematically investigated. By analyzing the tenure assessment documents from Chinese Universities, this study reveals the role of Web of Science publications in China’s tenure system and presents the landscape of the tenure assessment process in Chinese higher education institutions.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d3d439d508795d6e6e4898992b0ea2a9
https://doi.org/10.1007/s11192-019-03339-x

المؤلفون: Abramo, Giovanni¹ giovanni.abramo@uniroma2.it, D'Angelo, Ciriaco dangelo@dii.uniroma2.it, Di Costa, Flavia di.costa@dii.uniroma2.it

المصدر: Scientometrics. Feb2014, Vol. 98 Issue 2, p777-795. 19p.

مصطلحات موضوعية: *Universities & colleges, *Bibliometrics, *Scientometrics, Higher education, Education research, Excellence

مستخلص: Many nations are adopting higher education strategies that emphasize the development of elite universities able to compete at the international level in the attraction of skills and resources. Elite universities pursue excellence in all their disciplines and fields of action. The impression is that this does not occur in 'non-competitive' education systems, and that instead, within single universities excellent disciplines will coexist with mediocre ones. To test this, the authors measure research productivity in the hard sciences for all Italian universities over the period 2004-2008 at the levels of the institution, their individual disciplines and fields within them. The results show that the distribution of excellent disciplines is not concentrated in a few universities: top universities show disciplines and fields that are often mediocre, while generally mediocre universities will often include top disciplines. [ABSTRACT FROM AUTHOR]

المؤلفون: Mryglod, O.¹ olesya@icmp.lviv.ua, Kenna, R.², Holovatch, Yu.¹, Berche, B.³

المصدر: Scientometrics. Apr2013, Vol. 95 Issue 1, p115-127. 13p.

مصطلحات موضوعية: *Scientometrics, Taylorism (Management), Industrial management, Research institutes, University rankings, Excellence

مستخلص: A desirable goal of scientific management is to introduce, if it exists, a simple and reliable way to measure the scientific excellence of publicly funded research institutions and universities to serve as a basis for their ranking and financing. While citation-based indicators and metrics are easily accessible, they are far from being universally accepted as way to automate or inform evaluation processes or to replace evaluations based on peer review. Here we consider absolute measurements of research excellence at an amalgamated, institutional level and specific measures of research excellence as performance per head. Using biology research institutions in the UK as a test case, we examine the correlations between peer review-based and citation-based measures of research excellence on these two scales. We find that citation-based indicators are very highly correlated with peer-evaluated measures of group strength, but are poorly correlated with group quality. Thus, and almost paradoxically, our analysis indicates that citation counts could possibly form a basis for deciding on, how to fund research institutions, but they should not be used as a basis for ranking them in terms of quality. [ABSTRACT FROM AUTHOR]

المؤلفون: Ricardo Arencibia-Jorge, Elio Villaseñor, Humberto Carrillo-Calvet

المصدر: Scientometrics. 110:77-104

مصطلحات موضوعية: Relation (database), Artificial neural network, Higher education, Computer science, business.industry, media_common.quotation_subject, 05 social sciences, Scopus, General Social Sciences, Library and Information Sciences, 050905 science studies, Data science, Computer Science Applications, Visualization, Identification (information), Excellence, 0509 other social sciences, 050904 information & library sciences, business, Productivity, media_common

الوصف: Development of accurate systems to assess academic research performance is an essential topic in national science agendas around the world. Providing quantitative elements such as scientometric rankings and indicators have contributed to measure prestige and excellence of universities, but more sophisticated computational tools are seldom exploited. We compare the evolution of Mexican scientific production in Scopus and the Web of Science as well as Mexico's scientific productivity in relation to the growth of the National Researchers System of Mexico is analyzed. As a main analysis tool we introduce an artificial intelligence procedure based on self-organizing neural networks. The neural network technique proves to be a worthy scientometric data mining and visualization tool which automatically carries out multiparametric scientometric characterizations of the production profiles of the 50 most productive Mexican Higher Education Institutions (in Scopus database). With this procedure we automatically identify and visually depict clusters of institutions that share similar bibliometric profiles in bidimensional maps. Four perspectives were represented in scientometric maps: productivity, impact, expected visibility and excellence. Since each cluster of institutions represents a bibliometric pattern of institutional performance, the neural network helps locate various bibliometric profiles of academic production, and the identification of groups of institutions which have similar patterns of performance. Also, scientometric maps allow for the identification of atypical behaviors (outliers) which are difficult to identify with classical tools, since they outstand not because of a disparate value in just one variable, but due to an uncommon combination of a set of indicators values.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4208d0313e24290fb4e729acd218331e
https://doi.org/10.1007/s11192-016-2166-0

المؤلفون: Chung-Lin Chiang, Angela Yung-Chi Hou, Martin Ince

المصدر: Scientometrics. 92:23-42

مصطلحات موضوعية: Economic growth, Higher education, business.industry, media_common.quotation_subject, General Social Sciences, Academic achievement, Library and Information Sciences, Computer Science Applications, Competition (economics), Development plan, Internationalization, World economy, Excellence, Political science, business, China, media_common

الوصف: With the growth of competition between nations in our knowledge-based world economy, excellence programs are becoming a national agenda item in developing as well as developed Asian countries. The main purpose of this paper is to compare the goals, funding policies and selection criteria of excellence programs in China, Japan, Korea and Taiwan and to analyze the academic achievement of their top ranked universities in three areas: research output, internationalization, and excellence, by using data from the Shanghai Jiao Tong, QS, and HEEACT rankings. The effectiveness of Taiwan's "Development Plan for World Class Universities and Research Centers of Excellence" was assessed as a case study in the paper via a survey targeting on 138 top administrators from 11 Taiwan's universities and 30 reviewers. The study found that more funding nations had, the more outputs and outcomes they would gain, for example China. The Taiwan case demonstrates that world-class universities and research centers are needed in Asian nations despite the concerns for inequality which they raise.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f1ac257b66487ec040b3400385cc2287
https://doi.org/10.1007/s11192-012-0727-4

المؤلفون: Andy Neely, Pablo D'Este, Surya Mahdi, Puay Tang, Mabel Sánchez-Barrioluengo

المساهمون: Engineering and Physical Sciences Research Council (UK)

المصدر: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Digital.CSIC. Repositorio Institucional del CSIC

مصطلحات موضوعية: Higher education, media_common.quotation_subject, Impact assessment, ESTADISTICA E INVESTIGACION OPERATIVA, Context (language use), Library and Information Sciences, University departments, Scientific excellence, Excellence, Political science, Incentives, media_common, Research Assessment Exercise, Hard and soft science, business.industry, Higher education policy, General Social Sciences, Public relations, Computer Science Applications, Management, University management, Strategic management, University performance, business, Discipline, University–business collaborations

الوصف: Universities currently need to satisfy the demands of different audiences. In light of the increasing policy emphasis on >third mission> activities, universities are attempting to incorporate these into their traditional missions of teaching and research. University strategies to accomplishing its traditional missions are well-honed and routinized, but the incorporation of the third mission is posing important strategic and managerial challenges for universities. This study explores the relationship between university-business collaborations and academic excellence in order to examine the extent to which academic institutions can balance these objectives. Based on data from the UK Research Assessment Exercise 2001 at the level of the university department, we find no systematic positive or negative relationship between scientific excellence and engagement with industry. Across the disciplinary fields reported in the 2001 Research Assessment Exercise (i. e. engineering, hard sciences, biomedicine, social sciences and the humanities) the relationship between academic excellence and engagement with business is largely contingent on the institutional context of the university department. This paper adds to the growing body of literature on university engagement with business by examining this activity for the social sciences and the humanities. Our findings have important implications for the strategic management of university departments and for higher education policy related to measuring the performance of higher education research institutions. © 2013 Akadémiai Kiadó, Budapest, Hungary.
The authors acknowledge support from the Innovation and Productivity Grand Challenge (IPGC), an initiative of the Advanced Institute of Management Research (AIM) funded by the UK’s Engineering and Physical Sciences Research Council (EP/C534239/1).

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::371e131d852cc9c66ec91d2f7a2ba654
http://hdl.handle.net/10261/104782

المؤلفون: María Pinto, Carlos G. Figuerola, Javier Marco, Rodríguez Ángel F. Zazo, Camarero Carmen Gómez, José Antonio Cordón García, Viviana Fernández Marcial, José Luis Alonso Berrocal

المصدر: Scientometrics. 65:67-93

مصطلحات موضوعية: Knowledge management, Higher education, Operations research, business.industry, Computer science, media_common.quotation_subject, General Social Sciences, Sample (statistics), Context (language use), Library and Information Sciences, Representativeness heuristic, Computer Science Applications, Excellence, Quantitative research, European Research Area, Quality (business), business, media_common

الوصف: This work has analyzed and evaluated the dissemination of research done at Spanish universities through the World Wide Web (WWW) in order to obtain a map of the visibility of the information available on this research and to propose measures for improving the quality of this diffusion, all within the social and institutional context of the European Area for Higher Education. The methodology applied in the study has used both qualitative and quantitative research methods to obtain some quality indicators on the dissemination of university research. The object of study consists of a sample of 19 Spanish universities, chosen according to their representativeness by Autonomous Community and their administrative and scientific weight. The process of defining indicators, both qualitative and quantitative, as well as the collection and analysis of data, are explained. The results give us a detailed panorama of the state of the art of the visibility of information on research in the web pages of selected universities. This has allowed us to make certain proposals for improvement that can contribute to the excellence of its dissemination.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::77cf6c3cf01dceef048da5a556f8646c
https://doi.org/10.1007/s11192-005-0260-9