Chris Cornelis

7.5k total citations
146 papers, 4.5k citations indexed

About

Chris Cornelis is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chris Cornelis has authored 146 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computational Theory and Mathematics, 82 papers in Artificial Intelligence and 49 papers in Information Systems. Recurrent topics in Chris Cornelis's work include Rough Sets and Fuzzy Logic (89 papers), Multi-Criteria Decision Making (36 papers) and Data Mining Algorithms and Applications (29 papers). Chris Cornelis is often cited by papers focused on Rough Sets and Fuzzy Logic (89 papers), Multi-Criteria Decision Making (36 papers) and Data Mining Algorithms and Applications (29 papers). Chris Cornelis collaborates with scholars based in Belgium, Spain and United Kingdom. Chris Cornelis's co-authors include Etienne E. Kerre, Glad Deschrijver, Martine De Cock, Francisco Herrera, Lynn D’eer, Patricia Victor, Richard Jensen, Nele Verbiest, Sarah Vluymans and Yvan Saeys and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Pattern Recognition.

In The Last Decade

Chris Cornelis

140 papers receiving 4.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Cornelis Belgium 37 2.3k 2.3k 1.8k 1.2k 367 146 4.5k
Dun Liu China 43 4.1k 1.8× 2.1k 0.9× 2.1k 1.2× 2.0k 1.6× 212 0.6× 134 5.1k
Deyu Li China 31 1.5k 0.6× 1.6k 0.7× 955 0.5× 757 0.6× 105 0.3× 181 3.1k
Xianzhong Zhou China 27 1.6k 0.7× 922 0.4× 1.0k 0.6× 641 0.5× 111 0.3× 132 2.5k
Luis M. de Campos Spain 26 429 0.2× 1.4k 0.6× 1.1k 0.6× 625 0.5× 600 1.6× 104 2.7k
Andrzej Skowron Poland 30 6.5k 2.8× 3.6k 1.6× 1.7k 1.0× 3.2k 2.7× 172 0.5× 199 7.7k
Henri Prade France 26 1.0k 0.4× 2.1k 0.9× 1.3k 0.7× 192 0.2× 516 1.4× 99 3.2k
William Zhu China 33 3.7k 1.6× 2.2k 1.0× 872 0.5× 1.6k 1.4× 38 0.1× 176 5.4k
Vilém Novák Czechia 31 2.0k 0.9× 2.0k 0.9× 1.2k 0.6× 189 0.2× 303 0.8× 138 3.3k
Jerzy W. Grzymala‐Busse United States 21 2.7k 1.2× 1.9k 0.8× 668 0.4× 1.5k 1.3× 56 0.2× 107 3.7k
Gleb Beliakov Australia 37 1.4k 0.6× 1.8k 0.8× 3.7k 2.1× 256 0.2× 2.0k 5.5× 226 5.6k

Countries citing papers authored by Chris Cornelis

Since Specialization
Citations

This map shows the geographic impact of Chris Cornelis'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 Chris Cornelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Cornelis more than expected).

Fields of papers citing papers by Chris Cornelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Cornelis. 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 Chris Cornelis. The network helps show where Chris Cornelis may publish in the future.

Co-authorship network of co-authors of Chris Cornelis

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Cornelis. A scholar is included among the top collaborators of Chris Cornelis 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 Chris Cornelis. Chris Cornelis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cornelis, Chris, et al.. (2024). On the granular representation of fuzzy quantifier-based fuzzy rough sets. Information Sciences. 665. 120385–120385. 3 indexed citations
2.
Cornelis, Chris, et al.. (2023). Multi-class granular approximation by means of disjoint and adjacent fuzzy granules. Fuzzy Sets and Systems. 478. 108765–108765. 3 indexed citations
3.
Cornelis, Chris, et al.. (2023). Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony. Information Sciences. 625. 521–535. 12 indexed citations
4.
Cornelis, Chris, et al.. (2023). Fuzzy rough sets based on fuzzy quantification. Fuzzy Sets and Systems. 473. 108704–108704. 14 indexed citations
5.
Cornelis, Chris, et al.. (2023). Fuzzy Rough Nearest Neighbour Methods for Aspect-Based Sentiment Analysis. Electronics. 12(5). 1088–1088. 4 indexed citations
6.
Cornelis, Chris, et al.. (2022). Choquet-based fuzzy rough sets. International Journal of Approximate Reasoning. 146. 62–78. 8 indexed citations
7.
Lingras, Pawan, et al.. (2013). Rough Sets and Knowledge Technology: 8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
8.
Cornelis, Chris, et al.. (2009). Training a personal alert system for research information recommendation. European Society for Fuzzy Logic and Technology Conference. 408–413. 1 indexed citations
9.
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
10.
Cornelis, Chris, et al.. (2005). A Fuzzy Relational Approach to Event Recommendation. Ghent University Academic Bibliography (Ghent University). 2231–2242. 30 indexed citations
11.
Deschrijver, Glad, Chris Cornelis, & Etienne E. Kerre. (2004). Triangle and Square: a Comparison. Ghent University Academic Bibliography (Ghent University). 1389–1395. 1 indexed citations
12.
Cornelis, Chris, Glad Deschrijver, & Etienne Kerre. (2003). Square and triangle: reflections on two prominent mathematical structures for the representation of imprecision. Ghent University Academic Bibliography (Ghent University). 9(3). 11–21. 4 indexed citations
13.
Cornelis, Chris, Krassimir Atanassov, & Etienne Kerre. (2003). Intuitionistic fuzzy sets and interval-valued fuzzy sets: a critical comparison.. Ghent University Academic Bibliography (Ghent University). 159–163. 47 indexed citations
14.
Cornelis, Chris & Etienne Kerre. (2002). On the Structure and Interpretation of an Intuitionistic Fuzzy Expert System.. Ghent University Academic Bibliography (Ghent University). 4 indexed citations
15.
Cornelis, Chris, Glad Deschrijver, & Etienne Kerre. (2002). CLASSIFICATION OF INTUITIONISTIC FUZZY IMPLICATORS: AN ALGEBRAIC APPROACH. Ghent University Academic Bibliography (Ghent University). 105–108. 29 indexed citations
16.
Nikolov, Nikolai Georgiev, et al.. (2002). Survey of the research on intuitionistic fuzzy sets. Ghent University Academic Bibliography (Ghent University). 4(2). 117–120. 22 indexed citations
17.
Cornelis, Chris, Martine De Cock, & Etienne Kerre. (2002). Linguistic Hedges in an Intuitionistic Fuzzy Setting.. Ghent University Academic Bibliography (Ghent University). 101–105. 1 indexed citations
18.
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
19.
Cornelis, Chris & Glad Deschrijver. (2001). The compositional rule of inference in an intuitionistic fuzzy logic setting. Ghent University Academic Bibliography (Ghent University). 17 indexed citations
20.
Cornelis, Chris, Martine De Cock, Dick Botteldooren, & Etienne Kerre. (2001). Fuzzy set theory: a useful interlingua?. Ghent University Academic Bibliography (Ghent University). 69. 1137–1141. 5 indexed citations

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.

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