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Bart Thijs
Katholieke Universiteit Leuven
64Publications
23H-index
1,552Citations
Publications 64
Newest
#1Diane Gal (Katholieke Universiteit Leuven)H-Index: 4
#2Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
Last.Karin R. Sipido (Katholieke Universiteit Leuven)H-Index: 47
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#1Mehmet Ali Abdulhayoglu (Katholieke Universiteit Leuven)H-Index: 2
#2Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
A novel hashing algorithm is applied to match two prominent and important bibliographic databases at the paper level. In the literature, such tasks have been studied and conducted many times, but relying only on journal information due to massive volume of indexed publications. As a result of paper based match, missing or erroneous items can be completed from other source or the overlap can be measured more reliably. In this context, we focus on measuring the overlap between Clarivate Analytics ...
#1GlänzelWolfgang (MTA: Hungarian Academy of Sciences)H-Index: 55
#2Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
In this paper we study the effect of granularity on Characteristic Scores and Scales (CSS). Unlike the traditional indicators that are mostly based on means and quantiles, CSS require the reduction of the citation distributions collaboration of the underlying reference population to four states (classes) and thus higher a different level of granularity. While the question of the choice of granularity is at higher levels of aggregation usually not critical since countries and university have rath...
#1Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
#2GlänzelWolfgang (MTA: Hungarian Academy of Sciences)H-Index: 55
The introduction of textual analysis and the use of lexical similarities already proved an important asset in science mapping. Earlier research showed the added value of hybrid document networks over link-based ones through the reduction of the extreme sparseness. However, it was only after the application of Natural Language Processing and phrase extraction that networks purely based on lexical similarities could be used as input for topic detection in quantitative science studies. This study i...
#1Diane Gal (Katholieke Universiteit Leuven)H-Index: 4
#2Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
Last.Karin R. Sipido (Katholieke Universiteit Leuven)H-Index: 47
view all 4 authors...
Abstract The concern about predominance of basic discovery research and lack of translation into clinical medicine, and segregation between these research communities, led the authors to study these research communities through mapping networks of publications and cross-references. Cardiovascular research from 1993 to 2013 was published in 565 journals, including 104 new journals. Only 50% were published in core cardiovascular journals, such as the Journal of the American College of Cardiology ,...
#1Mehmet Ali Abdulhayoglu (Katholieke Universiteit Leuven)H-Index: 2
#2Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
Author name disambiguation plays a very important role in individual based bibliometric analysis and has suffered from lack of information. Therefore, some have tried to leverage external web sources to obtain additional evidence with success. However, the main problem is generally the high cost of extracting data from web pages due to their diverse designs. Considering this challenge, we employed ResearchGate (RG), a social network platform for scholars presenting their publication lists in a s...
#1GlänzelWolfgang (MTA: Hungarian Academy of Sciences)H-Index: 55
#2Sarah Heeffer (Katholieke Universiteit Leuven)H-Index: 3
Last.Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
view all 3 authors...
Abstract In earlier studies (e.g. Glanzel and Thijs in Scientometrics, 2017) we have used components of text analysis in combination with link-based techniques to cluster documents spaces and to detect emerging research topics on the large scale. Taking up now the objectives of evaluative scientometrics, we attempt to link the textual analysis of small sets of individual scientific papers to evaluative bibliometrics. The objective is, however, quite similar. We focus on the detection of similari...
#1GlänzelWolfgang (MTA: Hungarian Academy of Sciences)H-Index: 55
#2Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
Based on a dataset on Astronomy and Astrophysics, hybrid cluster analyses have been conducted. In order to obtain an optimum solution and to analyse possible issues resulting from the bibliometric methodologies used, we have systematically studied three models and, within these models, two scenarios each. The hybrid clustering was based on a combination of bibliographic coupling and textual similarities using the Louvain method at two resolution levels. The procedure resulted in three clearly hi...
#1Bart Thijs (Katholieke Universiteit Leuven)H-Index: 23
#2Koenraad Debackere (Katholieke Universiteit Leuven)H-Index: 25
Last.GlänzelWolfgang (MTA: Hungarian Academy of Sciences)H-Index: 55
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The method of Characteristic Scores and Scales (CSS), previously developed for application at the macro- and meso-level, has been applied to individual author statistics. In particular, two datasets have been used. Firstly, authors with Thomson Reuters Researcher-ID, independently of the field where authors are publishing and, secondly, authors who are active in the field of scientometrics, independently whether they are registered authors or not. The objective is to find a parameter-free soluti...
#1Bart ThijsH-Index: 23
#2GlänzelWolfgangH-Index: 55
Last.Martin MeyerH-Index: 32
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Clustering of hybrid document networks combining citation based links with lexical similarities suffered for a long time from the different properties of these underlying networks. In this paper we evaluate different processing options of noun phrases extracted from abstracts using natural language processing to improve the measurement of the lexical component. Term shingles of different length are created from each of the extracted noun phrases. We discuss twenty different extraction-shingling ...
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