Bert Claessens

2.9k total citations · 1 hit paper
50 papers, 2.2k citations indexed

About

Bert Claessens is a scholar working on Electrical and Electronic Engineering, Building and Construction and Automotive Engineering. According to data from OpenAlex, Bert Claessens has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 12 papers in Building and Construction and 10 papers in Automotive Engineering. Recurrent topics in Bert Claessens's work include Smart Grid Energy Management (40 papers), Electric Vehicles and Infrastructure (21 papers) and Building Energy and Comfort Optimization (12 papers). Bert Claessens is often cited by papers focused on Smart Grid Energy Management (40 papers), Electric Vehicles and Infrastructure (21 papers) and Building Energy and Comfort Optimization (12 papers). Bert Claessens collaborates with scholars based in Belgium, United States and Denmark. Bert Claessens's co-authors include Stijn Vandael, Geert Deconinck, Frederik Ruelens, Daan Six, Johan Van Bael, Ronnie Belmans, Tom Holvoet, Thomas Nuytten, Kristof Paredis and M.P.F. Hommelberg and has published in prestigious journals such as Applied Energy, Renewable Energy and Energy and Buildings.

In The Last Decade

Bert Claessens

47 papers receiving 2.1k citations

Hit Papers

Flexibility of a combined heat and power system with ther... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bert Claessens Belgium 25 1.9k 657 652 486 473 50 2.2k
Suyang Zhou China 27 2.1k 1.1× 259 0.4× 800 1.2× 370 0.8× 279 0.6× 93 2.4k
Eduardo M. G. Rodrigues Portugal 22 1.3k 0.7× 162 0.2× 673 1.0× 375 0.8× 254 0.5× 93 1.8k
Ghulam Hafeez Pakistan 27 1.9k 1.0× 254 0.4× 1.1k 1.7× 214 0.4× 263 0.6× 78 2.3k
Henrik W. Bindner Denmark 33 2.8k 1.5× 347 0.5× 1.4k 2.2× 568 1.2× 521 1.1× 168 3.4k
Andreas Ulbig Germany 22 2.9k 1.5× 224 0.3× 1.8k 2.7× 917 1.9× 237 0.5× 123 3.3k
Xiaodan Yu China 28 2.7k 1.4× 208 0.3× 1.2k 1.8× 711 1.5× 190 0.4× 127 3.0k
Morteza Nazari‐Heris Iran 32 2.5k 1.3× 190 0.3× 948 1.5× 314 0.6× 239 0.5× 85 3.0k
Guillermo Escrivá-Escrivà Spain 22 895 0.5× 360 0.5× 299 0.5× 176 0.4× 355 0.8× 78 1.3k
Khizir Mahmud Australia 22 1.4k 0.7× 102 0.2× 648 1.0× 481 1.0× 245 0.5× 57 1.8k
Hassan Monsef Iran 28 2.4k 1.3× 238 0.4× 1.4k 2.2× 140 0.3× 195 0.4× 90 2.6k

Countries citing papers authored by Bert Claessens

Since Specialization
Citations

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

Fields of papers citing papers by Bert Claessens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bert Claessens

This figure shows the co-authorship network connecting the top 25 collaborators of Bert Claessens. A scholar is included among the top collaborators of Bert Claessens 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 Bert Claessens. Bert Claessens 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.
Claessens, Bert, et al.. (2025). Probabilistic forecasting of power system imbalance using neural network-based ensembles. Applied Energy. 401. 126714–126714.
2.
Claessens, Bert, et al.. (2025). Predicting and publishing accurate imbalance prices using Monte Carlo Tree Search. Applied Energy. 392. 125944–125944. 3 indexed citations
3.
Claessens, Bert, et al.. (2024). Distributional reinforcement learning-based energy arbitrage strategies in imbalance settlement mechanism. Journal of Energy Storage. 104. 114377–114377. 4 indexed citations
4.
Claessens, Bert, et al.. (2024). Explainable Home Energy Management Systems based on Reinforcement Learning using Differentiable Decision Trees. Ghent University Academic Bibliography (Ghent University). 687–691.
5.
Claessens, Bert, et al.. (2024). Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies. Ghent University Academic Bibliography (Ghent University). 123–133. 1 indexed citations
6.
Claessens, Bert, et al.. (2024). Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks. Energy and Buildings. 311. 114161–114161. 16 indexed citations
7.
Claessens, Bert, et al.. (2024). Sample efficient reinforcement learning for building control: Leveraging physics informed latent representations. Ghent University Academic Bibliography (Ghent University). 496–497. 1 indexed citations
8.
Claessens, Bert, et al.. (2024). Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers. Ghent University Academic Bibliography (Ghent University). 55–64. 1 indexed citations
9.
Claessens, Bert, et al.. (2022). Physics informed neural networks for control oriented thermal modeling of buildings. Applied Energy. 314. 118852–118852. 101 indexed citations
10.
Claessens, Bert, et al.. (2019). Grid-Constrained Distributed Optimization for Frequency Control With Low-Voltage Flexibility. IEEE Transactions on Smart Grid. 11(1). 612–622. 9 indexed citations
11.
Kessels, Kris, Bert Claessens, Reinhilde D’hulst, & Daan Six. (2016). The value of residential flexibility to manage a BRP portfolio: A Belgian case study. 1–6. 6 indexed citations
12.
Deconinck, Geert, et al.. (2015). Combining Market-Based Control with Distribution Grid Constraints when Coordinating Electric Vehicle Charging. Engineering. 1(4). 453–465. 14 indexed citations
13.
Ruiz, Nerea, et al.. (2014). Residential load forecasting under a demand response program based on economic incentives. International Transactions on Electrical Energy Systems. 25(8). 1436–1451. 26 indexed citations
14.
Claessens, Bert, et al.. (2014). Comparative analysis of tertiary control systems for smart grids using the Flex Street model. Renewable Energy. 69. 260–270. 16 indexed citations
15.
Ruelens, Frederik, Sam Weckx, Willem Leterme, et al.. (2013). Stochastic Portfolio Management of an Electric Vehicles Aggregator. Lirias (KU Leuven). 1 indexed citations
16.
Vanhoudt, Dirk, et al.. (2013). An actively controlled residential heat pump: Potential on peak shaving and maximization of self-consumption of renewable energy. Renewable Energy. 63. 531–543. 95 indexed citations
17.
Geth, Frederik, Frederik Ruelens, Niels Leemput, et al.. (2013). Double-layered control methodology combining price objective and grid constraints. Lirias (KU Leuven). 25–30. 5 indexed citations
18.
Claessens, Bert, Stijn Vandael, Frederik Ruelens, & M.P.F. Hommelberg. (2012). Self-learning demand side management for a heterogeneous cluster of devices with binary control actions. 1–8. 24 indexed citations
19.
Leemput, Niels, et al.. (2012). A case study of coordinated electric vehicle charging for peak shaving on a low voltage grid. Lirias (KU Leuven). 1–7. 37 indexed citations
20.
Ruelens, Frederik, Stijn Vandael, Willem Leterme, et al.. (2012). Demand side management of electric vehicles with uncertainty on arrival and departure times. 1–8. 26 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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