Tom Dhaene

12.3k total citations · 3 hit papers
404 papers, 8.5k citations indexed

About

Tom Dhaene is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Astronomy and Astrophysics. According to data from OpenAlex, Tom Dhaene has authored 404 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Electrical and Electronic Engineering, 93 papers in Computational Theory and Mathematics and 81 papers in Astronomy and Astrophysics. Recurrent topics in Tom Dhaene's work include Electromagnetic Compatibility and Noise Suppression (98 papers), Advanced Multi-Objective Optimization Algorithms (92 papers) and Lightning and Electromagnetic Phenomena (80 papers). Tom Dhaene is often cited by papers focused on Electromagnetic Compatibility and Noise Suppression (98 papers), Advanced Multi-Objective Optimization Algorithms (92 papers) and Lightning and Electromagnetic Phenomena (80 papers). Tom Dhaene collaborates with scholars based in Belgium, Italy and United States. Tom Dhaene's co-authors include Dirk Deschrijver, Ivo Couckuyt, Piet Demeester, D. De Zutter, Karel Crombecq, Dirk Gorissen, Luc Knockaert, Yvan Saeys, Francesco Ferranti and Bart N. Lambrecht and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Tom Dhaene

372 papers receiving 8.2k citations

Hit Papers

align trajectories

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.

FlowSOM: Using self‐organizing maps for visualization and interpretation of cytometry data

2015 1.0k citations Piet Demeester, Tom Dhaene et al. profile →
Macromodeling of Multiport Systems Using a Fast Implementation of the Vector Fitting Method

2008 395 citations Dirk Deschrijver, Tom Dhaene et al. profile →
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design

2010 327 citations Dirk Gorissen, Ivo Couckuyt et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Dhaene Belgium	44	3.6k	1.5k	1.2k	991	963	404	8.5k
Paris Perdikaris United States	37	1.8k 0.5×	877 0.6×	2.2k 1.8×	2.5k 2.5×	142 0.1×	79	20.4k
Walter Murray United States	36	718 0.2×	2.2k 1.5×	446 0.4×	1.6k 1.7×	308 0.3×	101	8.5k
Philip E. Gill United States	40	716 0.2×	2.4k 1.6×	425 0.3×	1.6k 1.6×	294 0.3×	86	9.2k
Andreas Wächter United States	20	1.5k 0.4×	1.7k 1.2×	370 0.3×	865 0.9×	97 0.1×	57	9.4k
Maziar Raissi United States	15	1.3k 0.3×	509 0.3×	1.5k 1.2×	1.7k 1.7×	102 0.1×	32	14.4k
Sławomir Kozieł Iceland	55	9.2k 2.6×	2.8k 1.9×	910 0.7×	7.5k 7.5×	132 0.1×	983	13.8k
Layne T. Watson United States	49	508 0.1×	3.4k 2.3×	1.4k 1.1×	923 0.9×	65 0.1×	403	9.7k
Dennis S. Bernstein United States	62	1.7k 0.5×	2.0k 1.4×	981 0.8×	4.1k 4.1×	324 0.3×	815	24.1k
J. A. Tenreiro Machado Portugal	71	1.6k 0.5×	681 0.5×	221 0.2×	467 0.5×	123 0.1×	752	22.5k
Jianfei Cai Singapore	49	1.3k 0.4×	530 0.4×	334 0.3×	510 0.5×	56 0.1×	309	13.3k

Countries citing papers authored by Tom Dhaene

Since Specialization

Citations

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

Fields of papers citing papers by Tom Dhaene

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Dhaene

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

Couckuyt, Ivo, et al.. (2025). Spectral Bayesian Optimization Using a Physics-Informed Rational Szegö Kernel for Microwave Design. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(9). 1836–1846.

Bekasiewicz, Adrian, et al.. (2025). Strategies for feature-assisted development of topology agnostic planar antennas using variable-fidelity models. Journal of Computational Science. 85. 102521–102521.

Laloy, Eric, et al.. (2024). Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1067. 169687–169687.

Dhaene, Tom, et al.. (2024). Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 339–342.

Couckuyt, Ivo, et al.. (2022). A Robust Bayesian Optimization Framework for Microwave Circuit Design under Uncertainty. Electronics. 11(14). 2267–2267. 8 indexed citations

Spina, Domenico, et al.. (2020). Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment. IEEE Transactions on Electromagnetic Compatibility. 62(6). 2538–2546. 13 indexed citations

Pues, H., et al.. (2018). Machine Learning Based Error Detection in Transient Susceptibility Tests. IEEE Transactions on Electromagnetic Compatibility. 61(2). 352–360. 14 indexed citations

Deschrijver, Dirk, et al.. (2018). Generation of Stochastic Interconnect Responses via Gaussian Process Latent Variable Models. IEEE Transactions on Electromagnetic Compatibility. 61(2). 582–585. 2 indexed citations

Deschrijver, Dirk, et al.. (2018). Adaptive frequency sampling using linear Bayesian vector fitting. Electronics Letters. 55(2). 74–76. 4 indexed citations

10.

Steenkiste, Tom Van, Joeri Ruyssinck, Leen De Baets, et al.. (2018). Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. Artificial Intelligence in Medicine. 97. 38–43. 48 indexed citations

11.

Manfredi, Paolo, et al.. (2017). A Generative Modeling Framework for Statistical Link Analysis Based on Sparse Data. IEEE Transactions on Components Packaging and Manufacturing Technology. 8(1). 21–31. 8 indexed citations

12.

Singh, Prashant, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, & Tom Dhaene. (2015). Shape optimization of a cyclone separator using multi-objective surrogate-based optimization. Applied Mathematical Modelling. 40(5-6). 4248–4259. 55 indexed citations

13.

Singh, Prashant, Dirk Deschrijver, & Tom Dhaene. (2013). A balanced sequential design strategy for global surrogate modeling. Winter Simulation Conference. 2172–2179. 12 indexed citations

14.

Pissoort, Davy, et al.. (2013). Optimized sequential sampling algorithm for EMI near-field scanning. Ghent University Academic Bibliography (Ghent University). 385–388. 11 indexed citations

15.

Degroote, Joris, Ivo Couckuyt, Jan Vierendeels, Patrick Segers, & Tom Dhaene. (2011). Inverse modelling of an aneurysm's stiffness using surrogate-based optimization of a three-dimensional ﬂuid-structure interaction simulation. Ghent University Academic Bibliography (Ghent University). 2 indexed citations

16.

Couckuyt, Ivo, Filip De Turck, Tom Dhaene, & Dirk Gorissen. (2011). Automatic surrogate model type selection during the optimization of expensive black-box problems. Winter Simulation Conference. 4274–4284. 11 indexed citations

17.

Gorissen, Dirk, Ivo Couckuyt, Piet Demeester, Tom Dhaene, & Karel Crombecq. (2010). A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design. Journal of Machine Learning Research. 11(68). 2051–2055. 327 indexed citations breakdown →

18.

Crombecq, Karel, Luciano De Tommasi, Dirk Gorissen, & Tom Dhaene. (2009). A novel sequential design strategy for global surrogate modeling. Winter Simulation Conference. 731–742. 65 indexed citations

19.

Gorissen, Dirk, et al.. (2008). RF circuit block modeling via Kriging surrogates. Ghent University Academic Bibliography (Ghent University). 1–4. 13 indexed citations

20.

Dhaene, Tom, et al.. (2004). Performance characterisation of tuple spaces with design of experiments. 175–187.

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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