Sam Aerts

948 total citations
51 papers, 721 citations indexed

About

Sam Aerts is a scholar working on Biophysics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Sam Aerts has authored 51 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biophysics, 34 papers in Electrical and Electronic Engineering and 20 papers in Biomedical Engineering. Recurrent topics in Sam Aerts's work include Electromagnetic Fields and Biological Effects (36 papers), Wireless Body Area Networks (18 papers) and Electromagnetic Compatibility and Measurements (15 papers). Sam Aerts is often cited by papers focused on Electromagnetic Fields and Biological Effects (36 papers), Wireless Body Area Networks (18 papers) and Electromagnetic Compatibility and Measurements (15 papers). Sam Aerts collaborates with scholars based in Belgium, Netherlands and France. Sam Aerts's co-authors include Wout Joseph, Luc Martens, Leen Verloock, Matthias Van den Bossche, Joe Wiart, David Plets, Davide Colombi, Christer Törnevik, Arno Thielens and Günter Vermeeren and has published in prestigious journals such as Environment International, IEEE Access and Sensors.

In The Last Decade

Sam Aerts

49 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Aerts Belgium 16 501 484 211 143 52 51 721
Francis Goeminne Belgium 9 212 0.4× 300 0.6× 131 0.6× 114 0.8× 15 0.3× 13 373
Paul Bechet Romania 11 221 0.4× 169 0.3× 125 0.6× 31 0.2× 17 0.3× 67 325
Björn Thors Sweden 12 498 1.0× 266 0.5× 175 0.8× 23 0.2× 26 0.5× 21 621
V.L. Chartier United States 15 450 0.9× 41 0.1× 24 0.1× 27 0.2× 3 0.1× 40 539
Yoann Corre France 11 367 0.7× 31 0.1× 25 0.1× 6 0.0× 71 1.4× 47 397
Thomas Bolin Sweden 13 627 1.3× 60 0.1× 129 0.6× 4 0.0× 22 0.4× 33 704
Jarmo Elovaara Finland 10 165 0.3× 91 0.2× 47 0.2× 41 0.3× 21 313
Travis Perry United States 5 91 0.2× 53 0.1× 42 0.2× 6 0.0× 17 0.3× 14 240
Anda R. Guraliuc Italy 11 196 0.4× 34 0.1× 196 0.9× 4 0.0× 20 0.4× 23 295
Ronald C. Wong United States 7 358 0.7× 56 0.1× 15 0.1× 25 0.2× 2 0.0× 17 410

Countries citing papers authored by Sam Aerts

Since Specialization
Citations

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

Fields of papers citing papers by Sam Aerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Aerts

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Aerts. A scholar is included among the top collaborators of Sam Aerts 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 Sam Aerts. Sam Aerts 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.
Aerts, Sam, Leen Verloock, György Thuróczy, et al.. (2025). Auto-induced uplink 4G and 5G RF-EMF exposure assessment using a network monitoring application in different microenvironments across seven European countries. Environmental Research. 270. 121029–121029. 4 indexed citations
2.
3.
Masini, Barbara M., Günter Vermeeren, Sam Aerts, et al.. (2024). RF Exposure Assessment in ITS-5.9 GHz V2X Connectivity and Vehicle Wireless Technologies: A Numerical and Experimental Approach. IEEE Access. 12. 186002–186021. 2 indexed citations
4.
Vermeeren, Günter, Leen Verloock, Sam Aerts, Luc Martens, & Wout Joseph. (2024). In Situ Assessment of Uplink Duty Cycles for 4G and 5G Wireless Communications. Sensors. 24(10). 3012–3012. 2 indexed citations
5.
Aerts, Sam, Chhavi Raj Bhatt, Derek G. Land, et al.. (2024). A comprehensive review of 5G NR RF-EMF exposure assessment technologies: fundamentals, advancements, challenges, niches, and implications. Environmental Research. 260. 119524–119524. 17 indexed citations
6.
Aerts, Sam, Kwadwo Owusu Akuffo, Sibel Zehra Aydın, et al.. (2024). Protocol for a prospective, multicentre, cross-sectional cohort study to assess personal light exposure. BMC Public Health. 24(1). 3285–3285. 6 indexed citations
7.
Aerts, Sam, Derek G. Land, Leen Verloock, et al.. (2023). Comparison of Low-Cost 5G Electromagnetic Field Sensors. Sensors. 23(6). 3312–3312. 8 indexed citations
8.
Aerts, Sam, et al.. (2023). RF-EMF Exposure near 5G NR Small Cells. Sensors. 23(6). 3145–3145. 15 indexed citations
9.
Tognola, Gabriella, Marta Bonato, Sam Aerts, et al.. (2022). Survey of Exposure to RF Electromagnetic Fields in the Connected Car. IEEE Access. 10. 47764–47781. 15 indexed citations
10.
Aerts, Sam, et al.. (2021). Protocol for personal RF-EMF exposure measurement studies in 5th generation telecommunication networks. Environmental Health. 20(1). 36–36. 31 indexed citations
11.
Caudeville, Julien, René de Sèze, M. Guedda, et al.. (2020). Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources. International Journal of Environmental Research and Public Health. 17(15). 5339–5339. 11 indexed citations
12.
Aerts, Sam, Matthias Van den Bossche, Ximena Vergara, et al.. (2020). Spatial and temporal assessment of radiofrequency electromagnetic fields emitted by smart meters and smart meter banks in urban environments. Environmental Research. 183. 109196–109196. 3 indexed citations
13.
Aerts, Sam, et al.. (2016). Prediction of RF-EMF exposure levels in large outdoor areas through car-mounted measurements on the enveloping roads. Environment International. 94. 482–488. 12 indexed citations
14.
Conil, Emmanuelle, Nadège Varsier, Abdelhamid Hadjem, et al.. (2014). Exposure index of EU project LEXNET: principles and simulation-based computation. Ghent University Academic Bibliography (Ghent University). 3029–3032. 6 indexed citations
15.
Plets, David, et al.. (2014). Prediction and comparison of downlink electric-field and uplink localised SAR values for realistic indoor wireless planning. Radiation Protection Dosimetry. 162(4). 487–498. 12 indexed citations
16.
Bossche, Matthias Van den, Leen Verloock, Sam Aerts, Wout Joseph, & Luc Martens. (2014). In situ exposure assessment of intermediate frequency fields of diverse devices. Radiation Protection Dosimetry. 164(3). 252–264. 4 indexed citations
17.
Aerts, Sam, David Plets, Leen Verloock, et al.. (2013). Empirical path-loss model in train car. Ghent University Academic Bibliography (Ghent University). 3777–3780. 7 indexed citations
18.
Aerts, Sam, Dirk Deschrijver, Leen Verloock, et al.. (2013). Assessment of outdoor radiofrequency electromagnetic field exposure through hotspot localization using kriging-based sequential sampling. Environmental Research. 126. 184–191. 42 indexed citations
19.
Aerts, Sam, et al.. (2013). Assessment and comparison of total RF-EMF exposure in femtocell and macrocell base station scenarios. Radiation Protection Dosimetry. 162(3). 236–243. 23 indexed citations
20.
Aerts, Sam, et al.. (2013). Compliance boundaries for train protection systems. Radiation Protection Dosimetry. 158(1). 68–72. 4 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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