Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Etienne E. Kerre
Since
Specialization
Citations
This map shows the geographic impact of Etienne E. Kerre's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Etienne E. Kerre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etienne E. Kerre more than expected).
Fields of papers citing papers by Etienne E. Kerre
This network shows the impact of papers produced by Etienne E. Kerre. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Etienne E. Kerre. The network helps show where Etienne E. Kerre may publish in the future.
Co-authorship network of co-authors of Etienne E. Kerre
This figure shows the co-authorship network connecting the top 25 collaborators of Etienne E. Kerre.
A scholar is included among the top collaborators of Etienne E. Kerre based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Etienne E. Kerre. Etienne E. Kerre is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ruan, Da, et al.. (2008). Computational Intelligence in Decision and Control: Proceedings of the 8th International FLINS Conference, Madrid, Spain, 21-24 September 2008.1 indexed citations
5.
Cock, Martine De, Chris Cornelis, & Etienne E. Kerre. (2008). A Clear View on Quality Measures for Fuzzy Association Rules. Ghent University Academic Bibliography (Ghent University).1 indexed citations
Schockaert, Steven, Patricia Victor, Geert‐Jan Houben, et al.. (2006). Reflections on modelling vagueness in description logics. Ghent University Academic Bibliography (Ghent University). 61–62.1 indexed citations
12.
Schockaert, Steven, Martine De Cock, & Etienne E. Kerre. (2006). Towards Fuzzy Spatial Reasoning in Geographic IR Systems. Ghent University Academic Bibliography (Ghent University). 34–36.6 indexed citations
13.
Weken, Dietrich Van der, Mike Nachtegael, & Etienne E. Kerre. (2004). Some New Similarity Measures for Histograms.. Ghent University Academic Bibliography (Ghent University). 441–446.7 indexed citations
14.
Deschrijver, Glad, Chris Cornelis, & Etienne E. Kerre. (2004). Triangle and Square: a Comparison. Ghent University Academic Bibliography (Ghent University). 1389–1395.1 indexed citations
Deschrijver, Glad, Chris Cornelis, & Etienne E. Kerre. (2002). On the representation of intuitionistic fuzzy t-norms and t-conorms. Ghent University Academic Bibliography (Ghent University). 8(3). 1–10.30 indexed citations
17.
Cock, Martine De & Etienne E. Kerre. (2002). A Context Based Approach to Linguistic Hedges.. International Journal of Applied Mathematics and Computer Science. 12(3). 371–382.12 indexed citations
18.
Deschrijver, Glad & Etienne E. Kerre. (2001). ON THE CARTESIAN PRODUCT OF THE INTUITIONISTIC FUZZY SETS. Ghent University Academic Bibliography (Ghent University). 11(3). 14–22.6 indexed citations
19.
Cock, Martine De & Etienne E. Kerre. (2001). Approximate Equality is no Fuzzy Equality.. Ghent University Academic Bibliography (Ghent University). 368–371.3 indexed citations
20.
Cooman, Gert de, et al.. (1999). Coherent Models for Discrete Possibilistic Systems. Ghent University Academic Bibliography (Ghent University). 189–195.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.