Kevin Mets

1.3k total citations
36 papers, 934 citations indexed

About

Kevin Mets is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kevin Mets has authored 36 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Kevin Mets's work include Smart Grid Energy Management (14 papers), Electric Vehicles and Infrastructure (8 papers) and Reinforcement Learning in Robotics (7 papers). Kevin Mets is often cited by papers focused on Smart Grid Energy Management (14 papers), Electric Vehicles and Infrastructure (8 papers) and Reinforcement Learning in Robotics (7 papers). Kevin Mets collaborates with scholars based in Belgium, United Kingdom and Germany. Kevin Mets's co-authors include Chris Develder, Tom Verschueren, Filip De Turck, Juan Aparicio Ojea, Matthias Strobbe, Steven Latré, Lieven Vandevelde, Arun Narayanan, Tine L. Vandoorn and Reinhilde D’hulst and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Renewable Energy.

In The Last Decade

Kevin Mets

29 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Mets Belgium	13	742	372	348	130	64	36	934
Francesco Liberati Italy	18	635 0.9×	395 1.1×	239 0.7×	275 2.1×	40 0.6×	65	959
Duong Tung Nguyen United States	12	1.0k 1.4×	550 1.5×	145 0.4×	131 1.0×	49 0.8×	29	1.2k
Shuoyao Wang China	10	554 0.7×	224 0.6×	282 0.8×	171 1.3×	97 1.5×	44	806
Manish Mohanpurkar United States	15	554 0.7×	394 1.1×	172 0.5×	43 0.3×	40 0.6×	31	772
Matteo Vasirani Spain	14	618 0.8×	338 0.9×	195 0.6×	71 0.5×	129 2.0×	40	932
Junjie Qin United States	15	554 0.7×	215 0.6×	200 0.6×	36 0.3×	30 0.5×	49	756
Sami Repo Finland	21	1.5k 2.0×	959 2.6×	160 0.5×	87 0.7×	66 1.0×	132	1.7k
Y. V. Pavan Kumar India	18	737 1.0×	575 1.5×	133 0.4×	64 0.5×	94 1.5×	104	1.1k
Kianoosh G. Boroojeni United States	13	490 0.7×	256 0.7×	69 0.2×	60 0.5×	102 1.6×	22	655
Oveis Abedinia Iran	13	615 0.8×	247 0.7×	84 0.2×	47 0.4×	112 1.8×	21	810

Countries citing papers authored by Kevin Mets

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Mets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Mets

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Verbeke, Wouter, et al.. (2025). Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review. Wiley Interdisciplinary Reviews Computational Statistics. 17(3).

Mercelis, Siegfried, et al.. (2025). Designing a Classifier for Active Fire Detection From Multispectral Satellite Imagery Using Neural Architecture Search. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10204–10224. 1 indexed citations

Mets, Kevin, et al.. (2024). Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices. Sensors. 24(15). 4876–4876.

Camelo, Miguel, et al.. (2024). Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. 1–7. 1 indexed citations

Elmaz, Furkan, et al.. (2024). A hybrid predictive modeling approach for catalyzed polymerization reactors. Chemical Engineering Journal Advances. 20. 100662–100662. 1 indexed citations

Mercelis, Siegfried, et al.. (2024). Scalable reinforcement learning-based neural architecture search. Neural Computing and Applications. 37(1). 231–261. 5 indexed citations

Wei, Wei, et al.. (2024). Dataset condensation with latent quantile matching. 7703–7712.

D’eer, Lynn, et al.. (2023). Towards graph-based forecasting with attention for real-world restaurant sales. 33. 560–569.

Mets, Kevin, et al.. (2023). Human Motion Prediction on the IKEA-ASM Dataset. 906–914.

10.

Mets, Kevin, et al.. (2022). Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 1–6.

11.

Mets, Kevin, et al.. (2022). Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. SHILAP Revista de lepidopterología. 4(1). 172–221. 51 indexed citations

12.

Mets, Kevin, et al.. (2022). Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. 1–6. 4 indexed citations

13.

Camelo, Miguel, Kevin Mets, Francesc Wilhelmi, et al.. (2021). ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors. 21(13). 4321–4321. 19 indexed citations

14.

Mets, Kevin, et al.. (2020). Learning Intrinsically Motivated Options to Stimulate Policy Exploration. 1 indexed citations

15.

Strobbe, Matthias, et al.. (2013). Design of a management infrastructure for smart grid pilot data processing and analysis. Ghent University Academic Bibliography (Ghent University). 547–553. 1 indexed citations

16.

Mets, Kevin, Filip De Turck, & Chris Develder. (2012). Distributed smart charging of electric vehicles for balancing wind energy. 133–138. 26 indexed citations

17.

Labeeuw, Wouter, et al.. (2012). Infrastructure for collaborating data-researchers in a Smart Grid pilot. Lirias (KU Leuven). 2. 1–8. 3 indexed citations

18.

Mets, Kevin, Tom Verschueren, Filip De Turck, & Chris Develder. (2011). Evaluation of Multiple Design Options for Smart Charging Algorithms. 1–5. 10 indexed citations

19.

Develder, Chris, et al.. (2010). Smart grids and the role of ICT. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

20.

Mets, Kevin, et al.. (2010). Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging. Ghent University Academic Bibliography (Ghent University). 293–299. 245 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.

Explore authors with similar magnitude of impact