Bart Scheers

1.2k total citations
68 papers, 856 citations indexed

About

Bart Scheers is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Bart Scheers has authored 68 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 35 papers in Electrical and Electronic Engineering and 11 papers in Ocean Engineering. Recurrent topics in Bart Scheers's work include Cognitive Radio Networks and Spectrum Sensing (22 papers), Geophysical Methods and Applications (10 papers) and Wireless Networks and Protocols (9 papers). Bart Scheers is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (22 papers), Geophysical Methods and Applications (10 papers) and Wireless Networks and Protocols (9 papers). Bart Scheers collaborates with scholars based in Belgium, Tunisia and Netherlands. Bart Scheers's co-authors include Vincent Le Nir, Zied Chtourou, A. Vander Vorst, Marc Acheroy, Guy A. E. Vandenbosch, Sofie Pollin, Sreeraj Rajendran, Rabah Attia, Sébastien Lambot and I. van den Bosch and has published in prestigious journals such as Water Resources Research, Electronics Letters and IEEE Communications Letters.

In The Last Decade

Bart Scheers

66 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Scheers Belgium 15 417 372 218 152 123 68 856
Kelly D. Sherbondy United States 20 326 0.8× 355 1.0× 870 4.0× 134 0.9× 244 2.0× 110 1.2k
A.H. Kayran Türkiye 11 503 1.2× 671 1.8× 212 1.0× 32 0.2× 50 0.4× 62 990
Guangyi Guo China 18 143 0.3× 833 2.2× 418 1.9× 324 2.1× 64 0.5× 44 951
Frankie K. W. Chan Hong Kong 20 303 0.7× 896 2.4× 238 1.1× 325 2.1× 399 3.2× 43 1.2k
Stefano Maranò Switzerland 9 129 0.3× 785 2.1× 235 1.1× 286 1.9× 247 2.0× 16 947
Sanjay B. Dhok India 8 96 0.2× 219 0.6× 52 0.2× 72 0.5× 39 0.3× 14 524
F. Viani Italy 14 92 0.2× 460 1.2× 422 1.9× 95 0.6× 44 0.4× 24 828
Gianmarco Romano Italy 13 507 1.2× 507 1.4× 208 1.0× 44 0.3× 202 1.6× 54 830
C. Cai China 11 130 0.3× 107 0.3× 197 0.9× 64 0.4× 100 0.8× 37 522

Countries citing papers authored by Bart Scheers

Since Specialization
Citations

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

Fields of papers citing papers by Bart Scheers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Scheers

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Scheers. A scholar is included among the top collaborators of Bart Scheers 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 Bart Scheers. Bart Scheers 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.
Rajendran, Sreeraj, et al.. (2023). Autoencoder based framework for drone RF signal classification and novelty detection. Lirias (KU Leuven). 218–225. 9 indexed citations
2.
Scheers, Bart, et al.. (2018). Passive radio system for real-time drone detection and DoA estimation. 1–6. 20 indexed citations
3.
Chtourou, Zied, et al.. (2018). Cooperative Q-learning based channel selection for cognitive radio networks. Wireless Networks. 25(7). 4161–4171. 35 indexed citations
4.
Nir, Vincent Le & Bart Scheers. (2018). Multiple jammer localization and transmission power estimation for radio environment map. 1–5. 3 indexed citations
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Nir, Vincent Le, et al.. (2015). Spectrum sensing method based on likelihood ratio goodness‐of‐fit test. Electronics Letters. 51(3). 253–255. 18 indexed citations
8.
Scheers, Bart, et al.. (2013). Joint decentralized slot allocation and time synchronization in a TDMA based MAC. 1–8. 1 indexed citations
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Scheers, Bart, et al.. (2012). High spatial-reuse distributed slot assignment protocol for wireless ad hoc networks. 1–8. 9 indexed citations
11.
Scheers, Bart, et al.. (2012). Data fusion schemes for cooperative spectrum sensing in cognitive radio networks. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1–7. 89 indexed citations
12.
Scheers, Bart, et al.. (2012). A realistic roadmap for the introduction of dynamic spectrum management in military tactical radio communication. 1–8. 1 indexed citations
13.
Nir, Vincent Le & Bart Scheers. (2012). Implementation of an adaptive OFDMA PHY/MAC on USRP platforms for a cognitive tactical radio network. 1–7. 4 indexed citations
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Scheers, Bart, et al.. (2008). Topology control in a wireless sensor network. 4 indexed citations
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Scheers, Bart, et al.. (2007). Hybrid simulation of a FIFO queuing system with trace-driven background traffic. 40. 2 indexed citations
19.
Scheers, Bart, et al.. (2006). Characterization of background traffic in hybrid network simulation. Defense Technical Information Center (DTIC). 3 indexed citations
20.
Lambot, Sébastien, I. van den Bosch, Evert Slob, et al.. (2003). Inverse modeling of GPR signal for estimating soil water content. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3883. 1 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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