Ivo Couckuyt

3.7k total citations · 1 hit paper
135 papers, 2.7k citations indexed

About

Ivo Couckuyt is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Ivo Couckuyt has authored 135 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computational Theory and Mathematics, 41 papers in Management Science and Operations Research and 37 papers in Electrical and Electronic Engineering. Recurrent topics in Ivo Couckuyt's work include Advanced Multi-Objective Optimization Algorithms (80 papers), Optimal Experimental Design Methods (38 papers) and Probabilistic and Robust Engineering Design (31 papers). Ivo Couckuyt is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (80 papers), Optimal Experimental Design Methods (38 papers) and Probabilistic and Robust Engineering Design (31 papers). Ivo Couckuyt collaborates with scholars based in Belgium, Iceland and United Kingdom. Ivo Couckuyt's co-authors include Tom Dhaene, Dirk Deschrijver, Piet Demeester, Dirk Gorissen, Karel Crombecq, Sławomir Kozieł, Nicolas Knudde, Eric Laermans, Hendrik Rogier and Wesley De Neve and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Cement and Concrete Composites.

In The Last Decade

Ivo Couckuyt

124 papers receiving 2.6k 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.

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
Ivo Couckuyt Belgium	26	955	829	699	514	419	135	2.7k
Gerhard Venter South Africa	19	826 0.9×	446 0.5×	431 0.6×	386 0.8×	804 1.9×	68	3.1k
Haitao Liu China	24	744 0.8×	361 0.4×	499 0.7×	431 0.8×	661 1.6×	115	2.6k
Jacob Søndergaard Canada	13	930 1.0×	865 1.0×	581 0.8×	701 1.4×	193 0.5×	15	2.4k
Mihai Anitescu United States	34	850 0.9×	607 0.7×	327 0.5×	266 0.5×	241 0.6×	152	3.6k
Rajkumar Vaidyanathan United States	9	971 1.0×	353 0.4×	637 0.9×	660 1.3×	253 0.6×	18	2.3k
Baowei Song China	28	545 0.6×	859 1.0×	574 0.8×	164 0.3×	412 1.0×	136	2.6k
Tushar Goel United States	19	1.6k 1.7×	411 0.5×	859 1.2×	1.0k 2.0×	448 1.1×	54	3.6k
J.M. Maciejowski United Kingdom	33	392 0.4×	1.4k 1.7×	787 1.1×	194 0.4×	511 1.2×	216	8.6k
Néstor V. Queipo Venezuela	20	1.6k 1.7×	435 0.5×	662 0.9×	1.1k 2.2×	428 1.0×	58	4.2k
Dirk Deschrijver Belgium	30	419 0.4×	2.0k 2.4×	188 0.3×	444 0.9×	278 0.7×	171	3.3k

Countries citing papers authored by Ivo Couckuyt

Since Specialization

Citations

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

Fields of papers citing papers by Ivo Couckuyt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivo Couckuyt

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

All Works

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20 of 20 papers shown

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.

Rigola, Joaquim, et al.. (2025). Vapor compression system data-driven surrogate models for aircraft Environmental Control Systems. International Journal of Refrigeration. 178. 336–346.

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.

Couckuyt, Ivo, et al.. (2024). Evaluation of Machine Learning Models for Received Signal Strength Based Visible Light Positioning with Obstacles. Ghent University Academic Bibliography (Ghent University). 318–323.

Kooning, Jeroen D. M. De, et al.. (2024). Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 7 indexed citations

Nieuwenhuyse, Inneke Van, et al.. (2024). Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application. Engineering With Computers. 40(4). 2497–2511. 5 indexed citations

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

Lin, Quan, Jiexiang Hu, Qi Zhou, et al.. (2021). Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. Knowledge-Based Systems. 227. 107151–107151. 35 indexed citations

Knudde, Nicolas, et al.. (2017). Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces. Winter Simulation Conference. 1728–1739. 2 indexed citations

10.

Knudde, Nicolas, et al.. (2017). GPflowOpt : a bayesian optimization library using tensorflow. Ghent University Academic Bibliography (Ghent University). 1–5. 3 indexed citations

11.

Steenkiste, Tom Van, et al.. (2016). Sensitivity analysis of expensive black-box systems using metamodeling. 2016 Winter Simulation Conference (WSC). 578–589. 4 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.

Couckuyt, Ivo, et al.. (2015). Variable-fidelity surrogate modelling with kriging. Ghent University Academic Bibliography (Ghent University). 514–518. 6 indexed citations

14.

Couckuyt, Ivo, Tom Dhaene, & Piet Demeester. (2014). ooDACE toolbox: a flexible object-oriented Kriging implementation. Journal of Machine Learning Research. 15(1). 3183–3186. 151 indexed citations

15.

Singh, Prashant, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, & Tom Dhaene. (2014). Classification aided domain reduction for high dimensional optimization. Winter Simulation Conference. 3928–3939. 3 indexed citations

16.

Ginste, Dries Vande, et al.. (2013). An immunity modeling technique to predict the influence of continuous wave and amplitude modulated noise on nonlinear analog circuits. Ghent University Academic Bibliography (Ghent University). 748–752. 2 indexed citations

17.

Couckuyt, Ivo, et al.. (2011). An alternative approach to avoid overfitting for surrogate models. Winter Simulation Conference. 2765–2776. 2 indexed citations

18.

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

19.

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

20.

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 →

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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