Siegfried Mercelis

531 total citations
63 papers, 257 citations indexed

About

Siegfried Mercelis is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Siegfried Mercelis has authored 63 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Networks and Communications and 13 papers in Artificial Intelligence. Recurrent topics in Siegfried Mercelis's work include Advanced Neural Network Applications (10 papers), IoT and Edge/Fog Computing (8 papers) and Real-Time Systems Scheduling (7 papers). Siegfried Mercelis is often cited by papers focused on Advanced Neural Network Applications (10 papers), IoT and Edge/Fog Computing (8 papers) and Real-Time Systems Scheduling (7 papers). Siegfried Mercelis collaborates with scholars based in Belgium, United Kingdom and Austria. Siegfried Mercelis's co-authors include Peter Hellinckx, Johann M. Márquez-Barja, Joachim Denil, Wim Casteels, Bart Lannoo, Dries Naudts, Vasilis Maglogiannis, Ingrid Moerman, Steven Latré and Furkan Elmaz and has published in prestigious journals such as IEEE Access, Energies and Computers & Chemical Engineering.

In The Last Decade

Siegfried Mercelis

58 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siegfried Mercelis Belgium 9 117 85 52 37 35 63 257
Pedro M. Santos Portugal 8 132 1.1× 150 1.8× 51 1.0× 43 1.2× 24 0.7× 50 332
Péter Ekler Hungary 9 163 1.4× 102 1.2× 34 0.7× 32 0.9× 36 1.0× 65 310
Yujiao Hu China 8 100 0.9× 67 0.8× 70 1.3× 31 0.8× 17 0.5× 29 332
Smys S. India 11 130 1.1× 98 1.2× 54 1.0× 26 0.7× 66 1.9× 18 303
Duc Van Le Singapore 10 210 1.8× 132 1.6× 35 0.7× 18 0.5× 70 2.0× 45 357
R. M. Bommi India 13 102 0.9× 62 0.7× 42 0.8× 24 0.6× 39 1.1× 40 378
Shuyi Pei United States 5 200 1.7× 70 0.8× 52 1.0× 17 0.5× 63 1.8× 11 291
Emmanuel Oyekanlu United States 7 99 0.8× 72 0.8× 64 1.2× 41 1.1× 39 1.1× 16 276
Mihui Kim South Korea 11 165 1.4× 111 1.3× 64 1.2× 70 1.9× 51 1.5× 50 336

Countries citing papers authored by Siegfried Mercelis

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried Mercelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegfried Mercelis

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

All Works

20 of 20 papers shown
1.
Mercelis, Siegfried, et al.. (2025). DelAwareCol: Delay Aware Collaborative Perception. IEEE Open Journal of Vehicular Technology. 6. 1164–1177.
2.
Elmaz, Furkan, et al.. (2025). Federated proximal policy optimization with action masking: Application in collective heating systems. Energy and AI. 20. 100506–100506. 4 indexed citations
3.
Mercelis, Siegfried, et al.. (2025). GIFF: Graph Iterative Attention Based Feature Fusion for Collaborative Perception. 820–829. 1 indexed citations
4.
Mercelis, Siegfried, et al.. (2025). A comprehensive review of datasets and deep learning techniques for vision in unmanned surface vehicles. Ocean Engineering. 334. 121501–121501. 2 indexed citations
5.
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
6.
Steckel, Jan, et al.. (2024). LiDAR-BIND: Multi-Modal Sensor Fusion Through Shared Latent Embeddings. IEEE Robotics and Automation Letters. 9(11). 9159–9166. 1 indexed citations
7.
Mercelis, Siegfried, et al.. (2024). Graph Attention Based Feature Fusion For Collaborative Perception. 2317–2324. 2 indexed citations
8.
Elmaz, Furkan, et al.. (2024). A hybrid predictive modeling approach for catalyzed polymerization reactors. Chemical Engineering Journal Advances. 20. 100662–100662. 1 indexed citations
9.
10.
Mercelis, Siegfried, et al.. (2024). CollabGAT: Collaborative Perception Using Graph Attention Network. IEEE Access. 12. 142380–142393. 2 indexed citations
11.
Hellinckx, Peter, et al.. (2024). Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems. ACM Transactions on Intelligent Systems and Technology. 16(2). 1–31. 1 indexed citations
12.
Mercelis, Siegfried, et al.. (2024). Multiple Data Sources and Domain Generalization Learning Method for Road Surface Defect Classification. 1397–1402. 2 indexed citations
13.
14.
Mercelis, Siegfried, et al.. (2024). Scalable reinforcement learning-based neural architecture search. Neural Computing and Applications. 37(1). 231–261. 5 indexed citations
15.
Mercelis, Siegfried, et al.. (2024). Data Selection Method for Assessment of Autonomous Vehicles. 3539–3545. 1 indexed citations
16.
Mercelis, Siegfried, et al.. (2024). Genetic NEAT-Based Method for Multi-Class Classification. Open Repository and Bibliography (University of Liège). 1–5. 1 indexed citations
17.
Elmaz, Furkan, Florence H. Vermeire, Siegfried Mercelis, et al.. (2023). SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes. Computers & Chemical Engineering. 179. 108431–108431.
18.
Elmaz, Furkan, et al.. (2023). Hybrid modelling of a batch separation process. Computers & Chemical Engineering. 177. 108319–108319. 5 indexed citations
19.
Naudts, Dries, Vasilis Maglogiannis, Seilendria A. Hadiwardoyo, et al.. (2021). Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services. Future Internet. 13(3). 81–81. 20 indexed citations
20.
Márquez-Barja, Johann M., Bart Lannoo, Dries Naudts, et al.. (2019). Smart Highway : ITS-G5 and C2VX based testbed for vehicular communications in real environments enhanced by edge/cloud technologies. Ghent University Academic Bibliography (Ghent University). 22 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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