Peter Vrancx

1.6k citations
52 papers · 791 · h-index 12

Impact in

Papers in

Peter Vrancx

48 papers receiving 754 citations

Peers

Peter Vrancx
Comparison fields: 5 of 95
  • Management Science and Operations Research 134
  • Artificial Intelligence 340
  • Computational Theory and Mathematics 119
  • Computer Networks and Communications 118
  • Electrical and Electronic Engineering 287
Replace I. Grondman with:
I. Grondman Netherlands
Éric Monfroy France
Samrat Mondal India
Surafel Luleseged Tilahun Ethiopia
Nantas Nardelli United Kingdom
Jing An China
Ping Lü China
Bilal Kartal United States
Mario García-Valdéz Mexico
Ali Maroosi Iran
Peter Vrancx relative to I. Grondman Netherlands I. Grondman's profile →
Citations per field
00.5×3.4×
I. Grondman · 1×
Citations per year

Countries citing papers authored by Peter Vrancx

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vrancx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Vrancx, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Vrancx Line = papers co-authored together Peter Vrancx links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017167
2
Reinforcement Learning: State-of-the-Art
2012154
3 201556
4 202253
5 200852
6 201441
7 201039
8 201729
9 200818
10 201618
11 200518
12 201217
13
Soft Q-Learning with Mutual-Information Regularization
201811
14 201010
15 20239
16 20119
17
Using ACO and Rough Set Theory to Feature Selection.
20058
18 20158
19 20186
20 20225

About Peter Vrancx

Peter Vrancx is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 52 papers that have together received 791 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (26 papers), Optimization and Search Problems (9 papers), Game Theory and Applications (7 papers), Auction Theory and Applications (6 papers), Advanced Bandit Algorithms Research (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Memory and Neural Computing (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Management Science and Operations Research (134 citations), Artificial Intelligence (340 citations), Computational Theory and Mathematics (119 citations), Computer Networks and Communications (118 citations) and Electrical and Electronic Engineering (287 citations). Peter Vrancx has collaborated with scholars based in Belgium, United States and Cuba. Frequent co-authors include Ann Nowé, Bart De Schutter, Fjo De Ridder, Jesus Lago, Anna Harutyunyan, Katja Verbeeck, Tim Brys, Sam Devlin, Matthew E. Taylor and Karl Tuyls. Their work appears in journals such as The Knowledge Engineering Review, Theoretical Computer Science, Neurocomputing, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) and IEEE Robotics and Automation Letters.

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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