Jilles Vreeken

4.4k total citations
107 papers, 2.2k citations indexed

About

Jilles Vreeken is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Jilles Vreeken has authored 107 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 45 papers in Information Systems and 30 papers in Computational Theory and Mathematics. Recurrent topics in Jilles Vreeken's work include Data Mining Algorithms and Applications (41 papers), Bayesian Modeling and Causal Inference (25 papers) and Rough Sets and Fuzzy Logic (22 papers). Jilles Vreeken is often cited by papers focused on Data Mining Algorithms and Applications (41 papers), Bayesian Modeling and Causal Inference (25 papers) and Rough Sets and Fuzzy Logic (22 papers). Jilles Vreeken collaborates with scholars based in Germany, Belgium and United States. Jilles Vreeken's co-authors include Christos Faloutsos, Arno Siebes, Matthijs van Leeuwen, B. Aditya Prakash, Pauli Miettinen, Koen Smets, Nikolaj Tatti, Mario Boley, Luca M. Ghiringhelli and Leman Akoglu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Jilles Vreeken

101 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jilles Vreeken Germany	24	1.1k	675	386	376	349	107	2.2k
Jia-Yu Pan United States	22	935 0.9×	413 0.6×	585 1.5×	149 0.4×	262 0.8×	71	2.7k
Chuxu Zhang United States	21	2.1k 2.0×	805 1.2×	715 1.9×	110 0.3×	347 1.0×	79	3.2k
William F. Punch United States	27	2.3k 2.1×	505 0.7×	331 0.9×	463 1.2×	349 1.0×	81	3.8k
Jean-Michel Renders France	13	817 0.8×	348 0.5×	424 1.1×	214 0.6×	80 0.2×	54	1.7k
Stefan Wrobel Germany	23	901 0.8×	353 0.5×	125 0.3×	264 0.7×	373 1.1×	76	2.2k
Le Song United States	26	1.0k 1.0×	317 0.5×	545 1.4×	185 0.5×	170 0.5×	77	2.9k
David Cohn United States	14	3.0k 2.9×	522 0.8×	267 0.7×	260 0.7×	231 0.7×	25	4.0k
Moatsum Alawida United Arab Emirates	28	643 0.6×	369 0.5×	324 0.8×	333 0.9×	201 0.6×	64	2.3k
Xiaofeng He China	22	1.4k 1.3×	469 0.7×	447 1.2×	144 0.4×	314 0.9×	92	2.6k
Liang Zhao United States	22	988 0.9×	271 0.4×	334 0.9×	85 0.2×	266 0.8×	192	2.0k

Countries citing papers authored by Jilles Vreeken

Since Specialization

Citations

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

Fields of papers citing papers by Jilles Vreeken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jilles Vreeken

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

All Works

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20 of 20 papers shown

Vreeken, Jilles, et al.. (2024). Discovering Sequential Patterns with Predictable Inter-event Delays. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8346–8353. 1 indexed citations

Vreeken, Jilles, et al.. (2023). All the world’s a (hyper)graph: A data drama. Digital Scholarship in the Humanities. 39(1). 74–96. 1 indexed citations

Klakow, Dietrich, et al.. (2022). Discovering Interpretable Data-to-Sequence Generators. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4237–4244. 1 indexed citations

Schmidt, Florian, Alexander Marx, Nina Baumgarten, et al.. (2021). Integrative analysis of epigenetics data identifies gene-specific regulatory elements. Nucleic Acids Research. 49(18). 10397–10418. 11 indexed citations

Vreeken, Jilles, et al.. (2021). Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics eBooks. 57 indexed citations

Vreeken, Jilles, et al.. (2018). Accurate Causal Inference on Discrete Data. Figshare. 881–886. 3 indexed citations

Vreeken, Jilles, et al.. (2017). MDL for Causal Inference on Discrete Data. 751–756. 11 indexed citations

Goldsmith, Bryan R., Mario Boley, Jilles Vreeken, Matthias Scheffler, & Luca M. Ghiringhelli. (2017). Uncovering structure-property relationships of materials by subgroup discovery. New Journal of Physics. 19(1). 13031–13031. 70 indexed citations

Frasconi, Paolo, Niels Landwehr, Giuseppe Manco, & Jilles Vreeken. (2016). Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2016). Springer eBooks. 15 indexed citations

10.

Vreeken, Jilles, et al.. (2015). Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. 415–423. 18 indexed citations

11.

Miettinen, Pauli & Jilles Vreeken. (2014). MDL4BMF. ACM Transactions on Knowledge Discovery from Data. 8(4). 1–31. 40 indexed citations

12.

Athukorala, Kumaripaba, Antti Oulasvirta, Dorota Głowacka, Jilles Vreeken, & Giulio Jacucci. (2014). Supporting exploratory search through user modeling. 1 indexed citations

13.

Akoglu, Leman, Emmanuel Müller, & Jilles Vreeken. (2013). Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description. Knowledge Discovery and Data Mining. 17 indexed citations

14.

Akoglu, Leman, Duen Horng Chau, Jilles Vreeken, et al.. (2013). Mining Connection Pathways for Marked Nodes in Large Graphs. Lirias (KU Leuven). 37–45. 20 indexed citations

15.

Prakash, B. Aditya, Jilles Vreeken, & Christos Faloutsos. (2012). Spotting Culprits in Epidemics: How Many and Which Ones?. 11–20. 147 indexed citations

16.

Vreeken, Jilles & Arthur Zimek. (2011). When Pattern Met Subspace Cluster.. 7–18. 1 indexed citations

17.

Vreeken, Jilles, et al.. (2011). Summarizing categorical data by clustering attributes. Data Mining and Knowledge Discovery. 26(1). 130–173. 17 indexed citations

18.

Vreeken, Jilles, et al.. (2004). Intelligent Traffic Light Control. 118 indexed citations

19.

Leeuwen, Matthijs van, et al.. (2003). Dynamic neural networks, comparing spiking circuits and LSTM. Data Archiving and Networked Services (DANS). 3 indexed citations

20.

Vreeken, Jilles. (2003). Spiking neural networks, an introduction. Utrecht University Repository (Utrecht University). 86 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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