Peter Vrancx

1.5k total citations
50 papers, 768 citations indexed

About

Peter Vrancx is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Peter Vrancx has authored 50 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 11 papers in Computer Networks and Communications. Recurrent topics in Peter Vrancx's work include Reinforcement Learning in Robotics (24 papers), Optimization and Search Problems (9 papers) and Game Theory and Applications (7 papers). Peter Vrancx is often cited by papers focused on Reinforcement Learning in Robotics (24 papers), Optimization and Search Problems (9 papers) and Game Theory and Applications (7 papers). Peter Vrancx collaborates with scholars based in Belgium, United States and Cuba. Peter Vrancx's co-authors include Ann Nowé, Fjo De Ridder, Bart De Schutter, Jesus Lago, Anna Harutyunyan, Katja Verbeeck, Tim Brys, Sam Devlin, Matthew E. Taylor and Daniel Kudenko⋆ and has published in prestigious journals such as Applied Energy, Neurocomputing and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Peter Vrancx

46 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Vrancx Belgium	12	328	278	130	119	117	50	768
I. Grondman Netherlands	6	349 1.1×	203 0.7×	39 0.3×	186 1.6×	170 1.5×	8	841
Aviv Tamar Israel	16	465 1.4×	132 0.5×	126 1.0×	58 0.5×	280 2.4×	37	1.0k
Bilal Kartal United States	9	291 0.9×	63 0.2×	45 0.3×	43 0.4×	123 1.1×	15	542
Éric Monfroy France	13	307 0.9×	63 0.2×	81 0.6×	95 0.8×	214 1.8×	69	684
Surafel Luleseged Tilahun South Africa	13	333 1.0×	65 0.2×	42 0.3×	145 1.2×	60 0.5×	37	633
Daniel J. Mankowitz Israel	8	301 0.9×	78 0.3×	38 0.3×	44 0.4×	68 0.6×	19	540
Mario García-Valdéz Mexico	9	458 1.4×	59 0.2×	94 0.7×	69 0.6×	81 0.7×	50	752
Shaharuddin Salleh Malaysia	16	64 0.2×	328 1.2×	82 0.6×	34 0.3×	421 3.6×	98	689
André Lemos Brazil	13	475 1.4×	62 0.2×	73 0.6×	24 0.2×	37 0.3×	36	704
Sven Gowal United Kingdom	9	362 1.1×	94 0.3×	23 0.2×	26 0.2×	87 0.7×	26	664

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-authorship network of co-authors of Peter Vrancx

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Vrancx. A scholar is included among the top collaborators of Peter Vrancx 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 Peter Vrancx. Peter Vrancx 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

Kundu, Joyjit, et al.. (2023). AMPeD: An Analytical Model for Performance in Distributed Training of Transformers. 306–315. 9 indexed citations

Ueyoshi, Kodai, Ioannis A. Papistas, Vikram Jain, et al.. (2022). DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 1–3. 49 indexed citations

Papistas, Ioannis A., Stefan Cosemans, Peter Vrancx, et al.. (2022). Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration. ACM Transactions on Design Automation of Electronic Systems. 27(5). 1–21. 3 indexed citations

Harutyunyan, Anna, Peter Vrancx, Philippe Hamel, Ann Nowé, & Doina Precup. (2019). Per-Decision Option Discounting. International Conference on Machine Learning. 2644–2652. 2 indexed citations

Grau-Moya, Jordi, Felix Leibfried, & Peter Vrancx. (2018). Soft Q-Learning with Mutual-Information Regularization. International Conference on Learning Representations. 11 indexed citations

Rădulescu, Roxana, Peter Vrancx, & Ann Nowé. (2017). Analysing Congestion Problems in Multi-agent Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 1705–1707. 3 indexed citations

Vrancx, Peter, et al.. (2016). A reinforcement learning approach to coordinate exploration with limited communication in continuous action games. The Knowledge Engineering Review. 31(1). 77–95. 1 indexed citations

Vrancx, Peter, et al.. (2016). Preface to the special issue: adaptive learning agents. The Knowledge Engineering Review. 31(1). 1–2. 1 indexed citations

Harutyunyan, Anna, Tim Brys, Peter Vrancx, & Ann Nowé. (2015). Multi-Scale Reward Shaping via an Off-Policy Ensemble. Adaptive Agents and Multi-Agents Systems. 1641–1642. 2 indexed citations

10.

Harutyunyan, Anna, Tim Brys, Peter Vrancx, & Ann Nowé. (2015). Shaping Mario with Human Advice. Adaptive Agents and Multi-Agents Systems. 1913–1914. 8 indexed citations

11.

Vrancx, Peter, et al.. (2013). Model-free learning of wire winding control. 1–6. 5 indexed citations

12.

Vrancx, Peter, et al.. (2012). Learning Approach to Coordinate Exploration with Limited Communication in Continuous Action Games. 17–23. 1 indexed citations

13.

Vrancx, Peter, et al.. (2012). An RL approach to common-interest continuous action games. Adaptive Agents and Multi-Agents Systems. 1401–1402. 2 indexed citations

14.

Steenhaut, Kris, et al.. (2011). Learning a pricing strategy in multi-domain DWDM networks. 1–6. 1 indexed citations

15.

Vrancx, Peter, et al.. (2010). Learning multi-agent state space representations. Adaptive Agents and Multi-Agents Systems. 715–722. 39 indexed citations

16.

Vrancx, Peter, Katja Verbeeck, & Ann Nowé. (2010). Learning to take turns.. 1–7. 1 indexed citations

17.

Vrancx, Peter, Katja Verbeeck, & Ann Nowé. (2010). Analyzing the dynamics of stigmergetic interactions through pheromone games. Theoretical Computer Science. 411(21). 2116–2126. 2 indexed citations

18.

Vrancx, Peter, Karl Tuyls, & Ronald Westra. (2008). Switching dynamics of multi-agent learning. Adaptive Agents and Multi-Agents Systems. 307–313. 18 indexed citations

19.

Vrancx, Peter, Katja Verbeeck, & Ann Nowé. (2008). Decentralized Learning in Markov Games. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(4). 976–981. 52 indexed citations

20.

Bello, Rafael, et al.. (2005). Using ACO and Rough Set Theory to Feature Selection.. VUBIR (Vrije Universiteit Brussel). 2(5). 251–256. 8 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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