R
Ronald Rousseau
Researcher at University of Antwerp
Publications - 422
Citations - 11963
Ronald Rousseau is an academic researcher from University of Antwerp. The author has contributed to research in topics: Informetrics & Citation analysis. The author has an hindex of 50, co-authored 404 publications receiving 10807 citations. Previous affiliations of Ronald Rousseau include Katholieke Universiteit Leuven & University of Hasselt.
Papers
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Journal ArticleDOI
Topological aspects of information retrieval
Leo Egghe,Ronald Rousseau +1 more
TL;DR: It is shown that information retrieval based on Boolean operators is an intrinsic part of the general topological model, which is a major motivation of the introduction of topologies in theoretical IR models.
Journal Article
A scientometric analysis of health and population research in south asia: focus on two research organizations
TL;DR: A scientometric comparison between two health and population research organizations, namely the International Centre for Diarrhoeal Disease Research in Bangladesh (ICDDR,B) and the National Institute of Cholera and Enteric Diseases in India, during the period 1979-2008 is provided.
Book
Elementary Statistics for Effective Library and Information Service Management
Leo Egghe,Ronald Rousseau +1 more
TL;DR: A test for the quality of regression line of a scatterplot - the correlation coefficient and the goal of part 3 is presented.
Journal ArticleDOI
Using multi-level frontiers in DEA models to grade countries/territories
TL;DR: This research results show that using DEA frontiers the authors can unite countries/territories by different grades, and incorporate a simple value judgment as prior information into the DEA models to study the resulting changes of these Countries/Territories’ performance grades.
Journal ArticleDOI
Citation analysis and the development of science: A case study using articles by some Nobel prize winners
Yuxian Liu,Ronald Rousseau +1 more
TL;DR: Using citation data of articles written by some Nobel Prize winners in physics, it is shown that concave, convex, and straight curves represent different types of interactions between old ideas and new insights.