Eric Laermans

1.2k total citations
46 papers, 900 citations indexed

About

Eric Laermans is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Eric Laermans has authored 46 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 13 papers in Atomic and Molecular Physics, and Optics and 12 papers in Computational Theory and Mathematics. Recurrent topics in Eric Laermans's work include Electromagnetic Scattering and Analysis (13 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Electromagnetic Simulation and Numerical Methods (10 papers). Eric Laermans is often cited by papers focused on Electromagnetic Scattering and Analysis (13 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Electromagnetic Simulation and Numerical Methods (10 papers). Eric Laermans collaborates with scholars based in Belgium, Netherlands and Iceland. Eric Laermans's co-authors include Tom Dhaene, D. De Zutter, Karel Crombecq, Ivo Couckuyt, F. Olyslager, Joris Degroote, Jan Devos, Geert Poels, R. De Smedt and Ingrid Moerman and has published in prestigious journals such as Journal of Computational Physics, European Journal of Operational Research and IEEE Access.

In The Last Decade

Eric Laermans

44 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Laermans Belgium 15 432 240 167 166 120 46 900
Daniele Romano Italy 16 411 1.0× 79 0.3× 89 0.5× 67 0.4× 53 0.4× 116 808
Domenico Spina Belgium 16 395 0.9× 115 0.5× 96 0.6× 273 1.6× 61 0.5× 63 792
Ahmed S.A. Mohamed Egypt 11 721 1.7× 206 0.9× 425 2.5× 77 0.5× 49 0.4× 43 1.1k
James Taylor Canada 20 127 0.3× 177 0.7× 88 0.5× 25 0.2× 81 0.7× 132 1.3k
Almir Mutapcic United States 13 422 1.0× 32 0.1× 89 0.5× 22 0.1× 59 0.5× 18 816
Guangzheng Ni China 16 337 0.8× 206 0.9× 83 0.5× 17 0.1× 23 0.2× 54 789
José E. Rayas‐Sánchez Mexico 21 1.6k 3.7× 204 0.8× 678 4.1× 58 0.3× 44 0.4× 118 2.0k
Adrian Bekasiewicz Iceland 23 1.6k 3.7× 333 1.4× 1.4k 8.5× 62 0.4× 40 0.3× 220 2.0k
Anna Pietrenko‐Dabrowska Poland 25 1.6k 3.7× 424 1.8× 1.4k 8.3× 121 0.7× 80 0.7× 187 2.2k
B. Molinari Australia 11 186 0.4× 302 1.3× 206 1.2× 50 0.3× 26 0.2× 16 1.8k

Countries citing papers authored by Eric Laermans

Since Specialization
Citations

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

Fields of papers citing papers by Eric Laermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Laermans

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Laermans. A scholar is included among the top collaborators of Eric Laermans 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 Eric Laermans. Eric Laermans 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.
Devos, Jan, et al.. (2021). A phishing Mitigation Solution using Human Behaviour and Emotions that Influence the Success of Phishing Attacks. Ghent University Academic Bibliography (Ghent University). 345–350. 10 indexed citations
2.
Devos, Jan, et al.. (2021). Phishing Happens Beyond Technology: The Effects of Human Behaviors and Demographics on Each Step of a Phishing Process. IEEE Access. 9. 44928–44949. 42 indexed citations
3.
Couckuyt, Ivo, et al.. (2015). Variable-fidelity surrogate modelling with kriging. Ghent University Academic Bibliography (Ghent University). 514–518. 6 indexed citations
4.
Couckuyt, Ivo, et al.. (2015). High dimensional Kriging metamodelling utilising gradient information. Applied Mathematical Modelling. 40(9-10). 5256–5270. 33 indexed citations
5.
Couckuyt, Ivo, et al.. (2015). A Matlab Toolbox for Kriging Metamodelling. Procedia Computer Science. 51. 2708–2713. 32 indexed citations
6.
Couckuyt, Ivo, et al.. (2014). On the use of gradients in kriging surrogate models. Winter Simulation Conference. 2692–2701. 8 indexed citations
7.
Verhaevert, Jo, et al.. (2011). A linear regression based cost function for WSN localization. Ghent University Academic Bibliography (Ghent University). 1–5. 7 indexed citations
8.
Verhaevert, Jo, et al.. (2011). Automated linear regression tools improve RSSI WSN localization in multipath indoor environment. EURASIP Journal on Wireless Communications and Networking. 2011(1). 44 indexed citations
9.
Deschrijver, Dirk, Adam Narbudowicz, Eric Laermans, & Tom Dhaene. (2010). On the Application of Dimensional Analysis to Parametric Macromodeling. IEEE Microwave and Wireless Components Letters. 20(4). 190–192. 1 indexed citations
10.
Crombecq, Karel, Ivo Couckuyt, Eric Laermans, & Tom Dhaene. (2009). A Novel Hybrid Active Learning Strategy for Nonlinear Regression. Ghent University Academic Bibliography (Ghent University). 109–110.
11.
Hoecke, Sofie Van, et al.. (2004). Secure brokering of web services. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
12.
Zutter, D. De, et al.. (2003). Fast shielding effectiveness prediction for realistic rectangular enclosures. IEEE Transactions on Electromagnetic Compatibility. 45(4). 639–643. 32 indexed citations
13.
Moerloose, J. De, et al.. (2002). Comparison of FDTD and MoM for shielding effectiveness modelling of test enclosures. 596–601. 10 indexed citations
14.
Knockaert, Luc, et al.. (2002). Recovering lossy multiconductor transmission line parameters from impedance or scattering representations. IEEE Transactions on Advanced Packaging. 25(2). 200–205. 12 indexed citations
15.
Laermans, Eric, F. Olyslager, & D. De Zutter. (2002). Sensitivity based statistical analysis of multiconductor transmission lines in multilayered media. 1. 288–291. 3 indexed citations
16.
17.
Laermans, Eric, F. Olyslager, & D. De Zutter. (2000). A two-dimensional model for reverberant chambers.. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
18.
Olyslager, F., et al.. (1999). Numerical and experimental study of the shielding effectiveness of a metallic enclosure. IEEE Transactions on Electromagnetic Compatibility. 41(3). 202–213. 88 indexed citations
19.
Smedt, R. De, et al.. (1998). Assessment of the Shielding Effectiveness of a Real Enclosure. 248–253. 6 indexed citations
20.
Olyslager, F., Eric Laermans, & D. De Zutter. (1995). Rigorous quasi-TEM analysis of multiconductor transmission lines in bi-isotropic media. Part I. Theoretical analysis for general inhomogeneous media and generalization to bianisotropic media. IEEE Transactions on Microwave Theory and Techniques. 43(7). 1409–1415. 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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