scholarly journals The Universities Ranking World Cup: A Global View by Continent and Country from the Computer Science Perspective

2021 ◽  
Vol 11 (6) ◽  
pp. 277-285
Author(s):  
Sónia Rolland Sobral ◽  
Keyword(s):  
Computer Science ◽  
Direct Relationship ◽  
Web Of Science ◽  
University Rankings ◽  
World Cup ◽  
University Ranking ◽  
Global View ◽  
Data Source ◽  
Total Dependence ◽  
Scopus Database

University rankings are lists of universities ranked according to different criteria: different systems, published annually. This article uses seven of the world's best-known global rankings and only in the context of computer science: Shanghai Ranking’s Academic, CWTS Leiden, Quacquarelli Symonds, Times Higher Education, National Taiwan University, Best Global Universities USNews and University Ranking by Academic Performance. We present the top10 universities by each ranking system and by continent and country those that appear in the top20, top100 and top500. Each of these rankings has different items and weights, which will be listed and analyzed in this article. The results are very different from each other because they follow different systems. This article shows that in top10 there is a direct relationship between the massive presence of top Asian universities and the total dependence on Web of Science publications. The same is not true when the data source is Scopus database.

scholarly journals Why do Universities Rankings have Such Different Lists?

2021 ◽  
pp. 266-271
Author(s):  
Sónia Rolland Sobral ◽  
Keyword(s):  
Higher Education ◽  
Computer Science ◽  
Direct Relationship ◽  
The Internet ◽  
University Rankings ◽  
Huge Number ◽  
American Universities ◽  
Data Source ◽  
Total Dependence ◽  
Scopus Database

University rankings feature lists of higher education institutions ranked by item and weight. As they are available in the internet, they can be consulted by anyone wishing to find the best universities: students who want to enter higher education, teachers and researchers looking for new positions and governments/investors who want to fund the best. The lists are easy to consult and available to everyone. There are different classifications which are published: some are global, some are subdivided by areas, and others are only for one country. The results are very different from each other because they follow different systems. Many of the rankings have a huge number of Asian (mainly Chinese) universities in top positions while others consist mostly of American universities. This article compares the lists of computer science universities that appear in the rankings and analyzes the criteria for creating each of these rankings. Our goal is to understand why there are so many differences and which rankings favor each type of investigation. There is a direct relationship between the massive presence of top Asian universities and the total dependence on WebOfScience publications. The same is not true when the data source is the Scopus database.

A Scientometric Mapping of Contributions to Journal of Computer Science and Technology during 2012-2016

2018 ◽  
Vol 8 (1) ◽  
pp. 52-56
Author(s):  
Vimlesh Patel
Keyword(s):  
Growth Rate ◽  
Computer Science ◽  
Geographical Distribution ◽  
Growth And Development ◽  
Web Of Science ◽  
Science And Technology ◽  
Authorship Pattern ◽  
Chinese Academy Of Sciences ◽  
Prolific Authors ◽  
Academy Of Sciences

The paper presents a Scientometrics mapping of papers published inJournal of Computer Science and Technology, during 2012 to 2016 as reflected in Web of Science database. It attempts to analyze the growth and development of publications output of Journal of Computer Science and Technologyas reflected. Data for a total of 485 have been downloaded and analysed according to objectives. The study reveals thatThe year wise growth rate revel that highest no. papers published in 2015, No. of Papers: 106 (21.86%) Authorship pattern data reveals that most of the authors like to publish papers in collaborations and most preferred authorship pattern was four author i.e. no. publications for four authors were 125 (25.77 %). The Degree of Collaboration (DC) revel that DC is found highest in 0.95 Co-Authored Publication. The highly prolific authors and their publications revel that Zhang L, published highest numbers of papers (11 nos.), the geographical distribution contributions (International) is revel that Peoples R China is in the top with no. of publications is 371 (76.50%), it is found from institution-wise distribution of papers that highest contributed institutions was Chinese Academy of Sciences with 93 Publications (19.18%) is placed at 1st rank and the average of citations per year (2012-2016) were 205.

Is it possible to rank universities using fewer indicators? A study on five international university rankings

2019 ◽  
Vol 71 (1) ◽  
pp. 18-37 ◽  
Author(s):  
Güleda Doğan ◽  
Umut Al
Keyword(s):  
Similarity Measure ◽  
Decision Makers ◽  
Cosine Similarity ◽  
University Rankings ◽  
University Ranking ◽  
Data Set ◽  
Content Type ◽  
Research Questions ◽  
Cosine Similarity Measure ◽  
International University

Purpose The purpose of this paper is to analyze the similarity of intra-indicators used in research-focused international university rankings (Academic Ranking of World Universities (ARWU), NTU, University Ranking by Academic Performance (URAP), Quacquarelli Symonds (QS) and Round University Ranking (RUR)) over years, and show the effect of similar indicators on overall rankings for 2015. The research questions addressed in this study in accordance with these purposes are as follows: At what level are the intra-indicators used in international university rankings similar? Is it possible to group intra-indicators according to their similarities? What is the effect of similar intra-indicators on overall rankings? Design/methodology/approach Indicator-based scores of all universities in five research-focused international university rankings for all years they ranked form the data set of this study for the first and second research questions. The authors used a multidimensional scaling (MDS) and cosine similarity measure to analyze similarity of indicators and to answer these two research questions. Indicator-based scores and overall ranking scores for 2015 are used as data and Spearman correlation test is applied to answer the third research question. Findings Results of the analyses show that the intra-indicators used in ARWU, NTU and URAP are highly similar and that they can be grouped according to their similarities. The authors also examined the effect of similar indicators on 2015 overall ranking lists for these three rankings. NTU and URAP are affected least from the omitted similar indicators, which means it is possible for these two rankings to create very similar overall ranking lists to the existing overall ranking using fewer indicators. Research limitations/implications CWTS, Mapping Scientific Excellence, Nature Index, and SCImago Institutions Rankings (until 2015) are not included in the scope of this paper, since they do not create overall ranking lists. Likewise, Times Higher Education, CWUR and US are not included because of not presenting indicator-based scores. Required data were not accessible for QS for 2010 and 2011. Moreover, although QS ranks more than 700 universities, only first 400 universities in 2012–2015 rankings were able to be analyzed. Although QS’s and RUR’s data were analyzed in this study, it was statistically not possible to reach any conclusion for these two rankings. Practical implications The results of this study may be considered mainly by ranking bodies, policy- and decision-makers. The ranking bodies may use the results to review the indicators they use, to decide on which indicators to use in their rankings, and to question if it is necessary to continue overall rankings. Policy- and decision-makers may also benefit from the results of this study by thinking of giving up using overall ranking results as an important input in their decisions and policies. Originality/value This study is the first to use a MDS and cosine similarity measure for revealing the similarity of indicators. Ranking data is skewed that require conducting nonparametric statistical analysis; therefore, MDS is used. The study covers all ranking years and all universities in the ranking lists, and is different from the similar studies in the literature that analyze data for shorter time intervals and top-ranked universities in the ranking lists. It can be said that the similarity of intra-indicators for URAP, NTU and RUR is analyzed for the first time in this study, based on the literature review.

scholarly journals GESTÃO DO CONHECIMENTO E GESTÃO DA INOVAÇÃO: UM ESTUDO BIBLIOMÉTRICO NA WEB OF SCIENCE (1945-2015)

2016 ◽  
pp. 113
Author(s):  
Paulo Fernando Marschner ◽  
Lucas Veiga Ávila ◽  
Analisa Tiburski Sommer
Keyword(s):  
Knowledge Management ◽  
Social Science ◽  
Computer Science ◽  
Operations Research ◽  
Information Science ◽  
Web Of Science ◽  
Innovation Management ◽  
Library Science ◽  
Research Management ◽  
Business Economics

Este estudo tem como objetivo analisar as características das publicações sobre Knowledge management (Gestão do conhecimento) e Innovation management (Gestão da inovação) na base de dados Web of Science, no período de 1945 a 2015. O trabalho descritivo e quantitativo, de natureza bibliométrica, busca levantar as características da produção acadêmica. Como principal resultado das 372 publicações analisadas constatou-se que os anos com maior publicação foram os de 2008 e 2015, em especial nas seguintes áreas temáticas: Business economics (Economia Empresarial), Operations research management science (Gestão de Operações), Engineering (Engenharias), Computer science (Ciência da Computação), Information science library science (Ciência da informação/biblioteconomia), Social science (Ciências Sociais). Os documentos são 66,6% proceedings paper, e o principal titulo é o International journal of technology management. Os países com maior número de produção são a China e os Estados Unidos, e o principal idioma é a língua inglesa.

scholarly journals Global Publications Output in Quantum Computing Research: A Scientometric Assessment during 2007-16

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
S. M. Dhawan ◽  
B.M. Gupta ◽  
Sudhanshu Bhusan
Keyword(s):  
Quantum Computing ◽  
Computer Science ◽  
Citation Index ◽  
National Level ◽  
The Usa ◽  
The Subject ◽  
Scopus Database ◽  
Using Data ◽  
Scientometric Assessment ◽  
Highly Cited

The paper maps quantum computing research on various publication and citation indicators, using data from Scopus database covering 10-year period 2007-16. Quantum computing research cumulated 4703 publications in 10 years, registered a slow 3.39% growth per annum, and averaged 14.30 citations per paper during the period. Top 10 countries dominate the field with 93.15% global publications share. The USA accounted for the highest 29.98% during the period. Australia tops in relative citation index (2.0).  International collaboration has been a major driver of research in the subject; 14.10% to 62.64% of national level output of top 10 countries appeared as international collaborative publications. Computer Science is one of the most popular areas of research in quantum computing research. The study identifies top 30 most productive organizations and authors, top 20 journals reporting quantum computing research, and 124 highly cited papers with 100+ citations per paper.

What Researchers are Currently Saying about Ontologies: A Review of Recent Web of Science Articles

2020 ◽  
Vol 47 (3) ◽  
pp. 199-219
Author(s):  
Luís Miguel Oliveira Machado ◽  
Maurício Barcellos Almeida ◽  
Renato Rocha Souza
Keyword(s):  
Information Systems ◽  
Computer Science ◽  
Exploratory Study ◽  
Web Of Science ◽  
Mixed Methodology ◽  
Extensive Literature ◽  
Fields Of Study ◽  
Current Prevalence ◽  
The Web

Traditionally connected to philosophy, the term ontology is increasingly related to information systems areas. Some researchers consider the approaches of the two disciplinary contexts to be completely different. Others consider that, although different, they should talk to each other, as both seek to answer similar questions. With the extensive literature on this topic, we intend to contribute to the understanding of the use of the term ontology in current research and which references support this use. An exploratory study was developed with a mixed methodology and a sample collected from the Web of Science of articles published in 2018. The results show the current prevalence of computer science in studies related to ontology and also of Gruber's view suggesting ontology as kind of conceptualization, a dominant view in that field. Some researchers, particularly in the field of biomedicine, do not adhere to this dominant view but to another one that seems closer to ontological study in the philosophical context. The term ontology, in the context of information systems, appears to be consolidating with a meaning different from the original, presenting traces of the process of “metaphorization” in the transfer of the term between the two fields of study.

scholarly journals Computer science in Eastern Europe 1989-2014: a bibliometric study

2015 ◽  
Vol 67 (5) ◽  
pp. 526-541 ◽  
Author(s):  
Dalibor Fiala ◽  
Peter Willett
Keyword(s):  
Computer Science ◽  
Web Of Science ◽  
Science Research ◽  
Bibliometric Study ◽  
Eastern European ◽  
Content Type ◽  
Publication Rates ◽  
Computer Science Research ◽  
The Individual ◽  
The Web

Purpose – The purpose of this paper is to study the development of research in computer science in 15 Eastern European countries following the breaching of the Berlin Wall in 1989. Design/methodology/approach – The authors conducted a bibliometric analysis of 82,121 computer science publications indexed in the Web of Science database and investigated publication, citation, and collaboration patterns of the individual countries. Findings – Poland has been the most productive country, followed by Russia, the Czech Republic, Romania, Hungary, and Slovenia. Publication rates have increased substantially over the period, but this has not been accompanied by a corresponding increase in the quality of the publications. Hungary and Slovenia are the most influential countries in terms of citations per paper. Artificial Intelligence is the most frequently occurring computer science subject category, with Interdisciplinary Applications the category with the greatest impact. USA, Germany, UK, France, and Canada are the most frequently collaborating western nations, and papers published in collaboration with US authors accrue the most citations. Originality/value – This is the first ever bibliometric study of the whole post-communist Eastern European computer science research as indexed in the Web of Science.

scholarly journals Valuation methodologies for business startups: a bibliographical study and survey

2018 ◽  
Vol 15 (1) ◽  
pp. 96-111 ◽  
Author(s):  
Fabrício Batista de Oliveira ◽  
Luís Perez Zotes
Keyword(s):  
Direct Relationship ◽  
Web Of Science ◽  
Early Stage ◽  
Scientific Production ◽  
Point Of View ◽  
Research Articles ◽  
Viability Study ◽  
Valuation Process ◽  
The Subject ◽  
Relationship Of

The aim of this study was to research and analyze the different methodologies used for the valuation process and identify which are the most suitable for startup companies in the Brazilian market. The investigation was carried out by means of bibliographical research articles through the databases Scopus and Web of Science and through interviews with professional experts in valuation of companies. The approach of the subject valuation for business startups, presents plenty of opportunities in the countries of Central and South America by their limited amount of scientific production found in databases of scientific productions. From the market point of view, the article presents important contribution to the promotion and maintenance of startups projects, many of which in the early stage of deployment, since it will serve as a source of consultation for such category of company that needs to identify the better options in the process of valuation for startups and companies as support for the economic and financial viability study of projects in the early stage, supporting the professional segments of Administration, Finance and Engineering Production, not limited only to those. The originality of this research is to make a direct relationship of valuation commonly used with startups definitions proposed by Blank and Dorf (2014) and Ries (2011).

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