Paul Elzinga

419 total citations
17 papers, 150 citations indexed

About

Paul Elzinga is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence. According to data from OpenAlex, Paul Elzinga has authored 17 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 6 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Paul Elzinga's work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Paul Elzinga is often cited by papers focused on Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Paul Elzinga collaborates with scholars based in Belgium, Netherlands and Germany. Paul Elzinga's co-authors include Jonas Poelmans, Guido Dedene, Stijn Viaene, Karl Wolff, Marc M. Van Hulle, Sergei O. Kuznetsov, Dmitry I. Ignatov, Wessel Kraaij and Stephan Raaijmakers and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and International Journal of General Systems.

In The Last Decade

Paul Elzinga

17 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Elzinga Belgium 8 65 65 57 35 29 17 150
Yannick Toussaint France 7 103 1.6× 51 0.8× 59 1.0× 4 0.1× 16 0.6× 44 152
Stephen Weeks United States 8 250 3.8× 98 1.5× 75 1.3× 80 2.3× 13 0.4× 46 356
Nicholas Andrews United States 8 195 3.0× 6 0.1× 64 1.1× 18 0.5× 19 0.7× 21 235
Renata Wassermann Brazil 10 271 4.2× 64 1.0× 43 0.8× 6 0.2× 10 0.3× 42 292
Peter Schachte Australia 8 98 1.5× 54 0.8× 42 0.7× 24 0.7× 13 0.4× 28 156
Shuguo Han Singapore 8 157 2.4× 26 0.4× 41 0.7× 15 0.4× 6 0.2× 9 179
Esha Ghosh United States 7 122 1.9× 31 0.5× 44 0.8× 7 0.2× 9 0.3× 15 158
Adam Groce United States 4 80 1.2× 13 0.2× 45 0.8× 13 0.4× 8 0.3× 7 116
Paulo A. S. Veloso Brazil 7 131 2.0× 88 1.4× 16 0.3× 7 0.2× 17 0.6× 51 166
Keith van Rijsbergen United Kingdom 7 96 1.5× 6 0.1× 82 1.4× 8 0.2× 14 0.5× 20 164

Countries citing papers authored by Paul Elzinga

Since Specialization
Citations

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

Fields of papers citing papers by Paul Elzinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Elzinga

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

All Works

17 of 17 papers shown
1.
Poelmans, Jonas, Paul Elzinga, & Guido Dedene. (2013). Retrieval of criminal trajectories with an FCA-based approach. UvA-DARE (University of Amsterdam). 977. 83–94. 8 indexed citations
2.
Elzinga, Paul, Karl Wolff, & Jonas Poelmans. (2012). Analyzing Chat Conversations of Pedophiles with Temporal Relational Semantic Systems. 242–249. 21 indexed citations
3.
Poelmans, Jonas, Paul Elzinga, Dmitry I. Ignatov, & Sergei O. Kuznetsov. (2012). Semi-automated knowledge discovery: identifying and profiling human trafficking. International Journal of General Systems. 41(8). 774–804. 10 indexed citations
4.
Poelmans, Jonas, Marc M. Van Hulle, Stijn Viaene, Paul Elzinga, & Guido Dedene. (2011). Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence. Applied Soft Computing. 11(4). 3870–3876. 14 indexed citations
5.
Elzinga, Paul. (2011). Formalizing the concepts of crimes and criminals. UvA-DARE (University of Amsterdam). 3 indexed citations
6.
Poelmans, Jonas, Paul Elzinga, Sergei O. Kuznetsov, et al.. (2011). Concept relation discovery and innovation enabling technology. 53–62. 3 indexed citations
7.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, & Guido Dedene. (2010). Concept Relation Discovery and Innovation Enabling Technology (Cordiet). SSRN Electronic Journal. 1 indexed citations
8.
Elzinga, Paul, et al.. (2010). Terrorist threat assessment with formal concept analysis. UvA-DARE (University of Amsterdam). 77–82. 25 indexed citations
9.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, & Guido Dedene. (2010). Concept Discovery Innovations in Law Enforcement: A Perspective. UvA-DARE (University of Amsterdam). 473–478. 5 indexed citations
10.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, & Guido Dedene. (2010). Formally analysing the concepts of domestic violence. Expert Systems with Applications. 38(4). 3116–3130. 22 indexed citations
11.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, & Guido Dedene. (2010). Curbing domestic violence: instantiating C–K theory with formal concept analysis and emergent self‐organizing maps. Intelligent systems in accounting, finance and management. 17(3-4). 167–191. 11 indexed citations
12.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, & Guido Dedene. (2010). A Method based on Temporal Concept Analysis for Detecting and Profiling Human Trafficking Suspects. 5 indexed citations
13.
Elzinga, Paul, Jonas Poelmans, Stijn Viaene, & Guido Dedene. (2009). Detecting domestic violence. International Conference on Enterprise Information Systems. 11–18. 1 indexed citations
14.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, & Guido Dedene. (2009). How Emergent Self Organizing Maps Can Help Counter Domestic Violence. Lirias (KU Leuven). 126–136. 4 indexed citations
15.
Elzinga, Paul, Jonas Poelmans, Stijn Viaene, & Guido Dedene. (2009). DETECTING DOMESTIC VIOLENCE - Showcasing a Knowledge Browser based on Formal Concept Analysis and Emergent Self Organizing Maps. 11–18. 3 indexed citations
16.
Poelmans, Jonas, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, & Guido Dedene. (2009). Gaining insight in domestic violence with Emergent Self Organizing Maps. Expert Systems with Applications. 36(9). 11864–11874. 12 indexed citations
17.
Kraaij, Wessel, Stephan Raaijmakers, & Paul Elzinga. (2008). Maximizing classifier utility for a given accuracy. Radboud Repository (Radboud University). 121–128. 2 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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