Guillem Reus-Muns

441 total citations
11 papers, 275 citations indexed

About

Guillem Reus-Muns is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Guillem Reus-Muns has authored 11 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Guillem Reus-Muns's work include Millimeter-Wave Propagation and Modeling (4 papers), Wireless Signal Modulation Classification (4 papers) and Radar Systems and Signal Processing (3 papers). Guillem Reus-Muns is often cited by papers focused on Millimeter-Wave Propagation and Modeling (4 papers), Wireless Signal Modulation Classification (4 papers) and Radar Systems and Signal Processing (3 papers). Guillem Reus-Muns collaborates with scholars based in United States, Finland and India. Guillem Reus-Muns's co-authors include Kaushik Chowdhury, Stratis Ioannidis, Batool Salehi, Jennifer Dy, Nasim Soltani, Kunal Sankhe, Debashri Roy, Zifeng Wang, Tong Jian and Reinaldo A. Valenzuela and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE/ACM Transactions on Networking.

In The Last Decade

Guillem Reus-Muns

10 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillem Reus-Muns United States 8 155 123 102 50 40 11 275
Batool Salehi United States 8 106 0.7× 123 1.0× 75 0.7× 37 0.7× 26 0.7× 14 248
Haoran Zha China 6 248 1.6× 84 0.7× 76 0.7× 27 0.5× 41 1.0× 17 314
Lauren J. Wong United States 7 218 1.4× 101 0.8× 85 0.8× 34 0.7× 34 0.8× 15 268
Haojun Zhao China 6 260 1.7× 68 0.6× 55 0.5× 40 0.8× 37 0.9× 7 307
Chethan Kumar Anjinappa United States 6 77 0.5× 112 0.9× 171 1.7× 28 0.6× 46 1.1× 15 255
Fusheng Zhu China 10 55 0.4× 199 1.6× 72 0.7× 130 2.6× 30 0.8× 27 316
Ticao Zhang United States 10 58 0.4× 149 1.2× 37 0.4× 132 2.6× 48 1.2× 18 278
Dian Fan China 9 46 0.3× 320 2.6× 124 1.2× 92 1.8× 27 0.7× 33 416
Ke-Wen Huang China 12 72 0.5× 275 2.2× 98 1.0× 113 2.3× 22 0.6× 23 344
Yuchao Liu China 7 202 1.3× 72 0.6× 43 0.4× 10 0.2× 47 1.2× 17 279

Countries citing papers authored by Guillem Reus-Muns

Since Specialization
Citations

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

Fields of papers citing papers by Guillem Reus-Muns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillem Reus-Muns. 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 Guillem Reus-Muns. The network helps show where Guillem Reus-Muns may publish in the future.

Co-authorship network of co-authors of Guillem Reus-Muns

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

All Works

11 of 11 papers shown
1.
Roy, Debashri, Batool Salehi, Guillem Reus-Muns, et al.. (2023). Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard. Computer Networks. 228. 109729–109729. 9 indexed citations
2.
Reus-Muns, Guillem, et al.. (2023). SenseORAN: O-RAN-Based Radar Detection in the CBRS Band. IEEE Journal on Selected Areas in Communications. 42(2). 326–338. 8 indexed citations
3.
Reus-Muns, Guillem, et al.. (2023). AirFC: Designing Fully Connected Layers for Neural Networks with Wireless Signals. 71–80. 3 indexed citations
4.
Reus-Muns, Guillem, Jinfeng Du, Dmitry Chizhik, Reinaldo A. Valenzuela, & Kaushik Chowdhury. (2022). Machine Learning-based mmWave Path Loss Prediction for Urban/Suburban Macro Sites. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 3 indexed citations
5.
Reus-Muns, Guillem, Yanyu Li, Ufuk Muncuk, et al.. (2022). AirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces. IEEE/ACM Transactions on Networking. 31(6). 2470–2482. 9 indexed citations
6.
Salehi, Batool, Guillem Reus-Muns, Debashri Roy, et al.. (2022). Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network. IEEE Transactions on Vehicular Technology. 71(7). 7639–7655. 42 indexed citations
7.
Reus-Muns, Guillem & Kaushik Chowdhury. (2021). Classifying UAVs With Proprietary Waveforms via Preamble Feature Extraction and Federated Learning. IEEE Transactions on Vehicular Technology. 70(7). 6279–6290. 42 indexed citations
8.
Reus-Muns, Guillem, et al.. (2021). <i>Flying Among Stars:</i> Jamming-resilient Channel Selection for UAVs through Aerial Constellations<i></i>. IEEE Transactions on Mobile Computing. 1–1.
9.
Reus-Muns, Guillem, Batool Salehi, Debashri Roy, et al.. (2021). Deep Learning on Visual and Location Data for V2I mmWave Beamforming. 559–566. 17 indexed citations
10.
Soltani, Nasim, Guillem Reus-Muns, Batool Salehi, et al.. (2020). RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms. IEEE Transactions on Vehicular Technology. 69(12). 15518–15531. 86 indexed citations
11.
Reus-Muns, Guillem, et al.. (2020). Trust in 5G Open RANs through Machine Learning: RF Fingerprinting on the POWDER PAWR Platform. 1–6. 56 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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