Peter Hellinckx

1.9k total citations · 1 hit paper
91 papers, 1.2k citations indexed

About

Peter Hellinckx is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Peter Hellinckx has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 18 papers in Hardware and Architecture. Recurrent topics in Peter Hellinckx's work include Parallel Computing and Optimization Techniques (12 papers), Building Energy and Comfort Optimization (11 papers) and Distributed and Parallel Computing Systems (11 papers). Peter Hellinckx is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Building Energy and Comfort Optimization (11 papers) and Distributed and Parallel Computing Systems (11 papers). Peter Hellinckx collaborates with scholars based in Belgium, Spain and Austria. Peter Hellinckx's co-authors include Juan S. Angarita-Zapata, Enrique Onieva, Antonio D. Masegosa, Steven Latré, Siegfried Mercelis, Wim Casteels, Furkan Elmaz, J. Broeckhove, Johann M. Márquez-Barja and F. Arickx and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Chemical Engineering Journal.

In The Last Decade

Peter Hellinckx

85 papers receiving 1.1k citations

Hit Papers

A graph CNN-LSTM neural network for short and long-term t... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
    2020 271 citations Peter Hellinckx et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Hellinckx Belgium 17 338 312 251 162 158 91 1.2k
Siew-Kei Lam Singapore 17 326 1.0× 177 0.6× 319 1.3× 73 0.5× 134 0.8× 173 1.5k
Joaquim Ferreira Portugal 19 566 1.7× 308 1.0× 558 2.2× 98 0.6× 32 0.2× 105 1.4k
Balqies Sadoun Jordan 17 399 1.2× 163 0.5× 225 0.9× 121 0.7× 86 0.5× 71 1.3k
Seung‐Woo Seo South Korea 24 465 1.4× 167 0.5× 754 3.0× 288 1.8× 30 0.2× 158 2.0k
Jingyu Zhang China 12 158 0.5× 129 0.4× 199 0.8× 68 0.4× 45 0.3× 45 700
Craig Rieger United States 20 331 1.0× 375 1.2× 422 1.7× 652 4.0× 18 0.1× 78 1.5k
Imed Ben Dhaou Saudi Arabia 18 453 1.3× 64 0.2× 367 1.5× 154 1.0× 30 0.2× 104 1.3k
Joongheon Kim South Korea 18 490 1.4× 72 0.2× 946 3.8× 104 0.6× 164 1.0× 76 1.4k

Countries citing papers authored by Peter Hellinckx

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hellinckx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hellinckx

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hellinckx. A scholar is included among the top collaborators of Peter Hellinckx 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 Hellinckx. Peter Hellinckx 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.
2.
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
3.
Hellinckx, Peter, et al.. (2024). Evaluating innovative collective heating and cooling concepts by incorporating occupants' preferences for conflicting performance indicators. Energy and Buildings. 314. 114264–114264. 1 indexed citations
4.
Hellinckx, Peter, et al.. (2024). Building automation and control systems for office buildings: Technical insights for effective facility management - A literature review. Journal of Building Engineering. 97. 110943–110943. 4 indexed citations
5.
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.
6.
Vermeire, Florence H., et al.. (2023). An artificial intelligence course for chemical engineers. Education for Chemical Engineers. 45. 141–150. 3 indexed citations
7.
Hellinckx, Peter, et al.. (2023). Grouped Charging of Decentralised Storage to Efficiently Control Collective Heating Systems: Limitations and Opportunities. Energies. 16(8). 3435–3435. 7 indexed citations
8.
Vermeire, Florence H., et al.. (2023). Predicting overall mass transfer coefficients of CO2 capture into monoethanolamine in spray columns with hybrid machine learning. Journal of CO2 Utilization. 70. 102452–102452. 10 indexed citations
9.
Elmaz, Furkan, et al.. (2023). Hybrid modelling of a batch separation process. Computers & Chemical Engineering. 177. 108319–108319. 5 indexed citations
10.
Hellinckx, Peter, et al.. (2023). Enabling space cooling in combined heat distribution circuits by grouping same temperature demands. Building Simulation Conference proceedings. 18. 1 indexed citations
11.
Degrève, Jan, et al.. (2023). HybridGamma: A thermodynamically consistent framework for hybrid modelling of activity coefficients. Chemical Engineering Journal. 475. 146104–146104. 6 indexed citations
12.
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.
13.
Hellinckx, Peter, et al.. (2021). Predicting LiDAR Data From Sonar Images. IEEE Access. 9. 57897–57906. 9 indexed citations
14.
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
15.
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
16.
Hellinckx, Peter, et al.. (2021). A Learn-to-Rank Approach for Predicting Road Cycling Race Outcomes. Frontiers in Sports and Active Living. 3. 714107–714107. 9 indexed citations
17.
Mercelis, Siegfried, Sylvain Watelet, Wim Casteels, et al.. (2020). Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets. 1–7. 9 indexed citations
18.
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
19.
Falk, Heiko, Sebastian Altmeyer, Peter Hellinckx, et al.. (2016). TACLeBench : a benchmark collection to support worst-case execution time research. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 73 indexed citations
20.
Hellinckx, Peter, et al.. (2010). Runtime Prediction Based Grid Scheduling of Parameter Sweep Jobs. 網際網路技術學刊. 11(1). 47–54. 13 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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