David Gesbert

22.4k total citations · 9 hit papers
319 papers, 14.6k citations indexed

About

David Gesbert is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, David Gesbert has authored 319 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 283 papers in Electrical and Electronic Engineering, 228 papers in Computer Networks and Communications and 57 papers in Aerospace Engineering. Recurrent topics in David Gesbert's work include Advanced MIMO Systems Optimization (213 papers), Cooperative Communication and Network Coding (154 papers) and Advanced Wireless Network Optimization (66 papers). David Gesbert is often cited by papers focused on Advanced MIMO Systems Optimization (213 papers), Cooperative Communication and Network Coding (154 papers) and Advanced Wireless Network Optimization (66 papers). David Gesbert collaborates with scholars based in France, Norway and United States. David Gesbert's co-authors include Robert W. Heath, Marios Kountouris, Haifan Yin, A. Paulraj, Mansoor Shafi, Peter J. Smith, A.F. Naguib, Da-shan Shiu, Helmut Bölcskei and Miltiades C. Filippou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

David Gesbert

307 papers receiving 13.9k citations

Hit Papers

From theory to practice: ... 2002 2026 2010 2018 2003 2010 2008 2013 2007 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Gesbert 13.3k 9.5k 2.8k 726 430 319 14.6k
G.L. Stüber 9.7k 0.7× 6.5k 0.7× 1.4k 0.5× 865 1.2× 467 1.1× 272 10.5k
Naofal Al‐Dhahir 13.2k 1.0× 5.9k 0.6× 4.2k 1.5× 755 1.0× 655 1.5× 589 15.2k
Shaoqian Li 9.5k 0.7× 5.1k 0.5× 2.3k 0.8× 398 0.5× 423 1.0× 584 11.2k
Chintha Tellambura 11.9k 0.9× 8.7k 0.9× 1.5k 0.5× 400 0.6× 316 0.7× 590 13.1k
Hüseyin Arslan 9.0k 0.7× 6.8k 0.7× 2.0k 0.7× 1.1k 1.5× 870 2.0× 489 11.6k
Fumiyuki Adachi 8.9k 0.7× 6.4k 0.7× 1.8k 0.6× 913 1.3× 823 1.9× 773 11.1k
Markku Juntti 7.5k 0.6× 4.1k 0.4× 1.9k 0.7× 462 0.6× 496 1.2× 578 8.5k
Upamanyu Madhow 8.8k 0.7× 6.8k 0.7× 1.5k 0.5× 1.1k 1.5× 951 2.2× 270 11.0k
David J. Love 11.0k 0.8× 5.7k 0.6× 2.2k 0.8× 249 0.3× 273 0.6× 314 11.7k
Teng Joon Lim 6.8k 0.5× 5.7k 0.6× 4.6k 1.6× 383 0.5× 273 0.6× 208 9.1k

Countries citing papers authored by David Gesbert

Since Specialization
Citations

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

Fields of papers citing papers by David Gesbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gesbert

This figure shows the co-authorship network connecting the top 25 collaborators of David Gesbert. A scholar is included among the top collaborators of David Gesbert 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 David Gesbert. David Gesbert 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.
Gesbert, David, et al.. (2023). User-Centric Federated Learning: Trading off Wireless Resources for Personalization. SHILAP Revista de lepidopterología. 1. 346–359. 6 indexed citations
2.
Ciblat, Philippe, et al.. (2023). Some power allocation algorithms for cognitive uplink satellite systems. EURASIP Journal on Wireless Communications and Networking. 2023(1). 32–32. 2 indexed citations
3.
Mashhadi, Mahdi Boloursaz, et al.. (2022). LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training. IEEE Transactions on Vehicular Technology. 71(3). 2979–2990. 51 indexed citations
4.
Björnson, Emil, et al.. (2022). Team MMSE Precoding With Applications to Cell-Free Massive MIMO. IEEE Transactions on Wireless Communications. 21(8). 6242–6255. 40 indexed citations
5.
Mursia, Placido, Italo Atzeni, Laura Cottatellucci, & David Gesbert. (2022). Enforcing Statistical Orthogonality in Massive MIMO Systems via Covariance Shaping. IEEE Transactions on Wireless Communications. 21(10). 8106–8119. 5 indexed citations
6.
Björnson, Emil, et al.. (2021). Precoding for Scalable Cell-free Massive MIMO with Radio Stripes. 411–415. 6 indexed citations
7.
Mursia, Placido, Vincenzo Sciancalepore, Andrés García‐Saavedra, et al.. (2020). RISMA: Reconfigurable Intelligent Surfaces Enabling Beamforming for IoT Massive Access. IEEE Journal on Selected Areas in Communications. 39(4). 1072–1085. 59 indexed citations
8.
Kerret, Paul de, et al.. (2020). Asymptotically Achieving Centralized Rate on the Decentralized Network\n MISO Channel. arXiv (Cornell University). 1 indexed citations
9.
Esrafilian, Omid & David Gesbert. (2018). Simultaneous User Association and Placement in Multi-UAV Enabled Wireless Networks. International ITG Workshop on Smart Antennas. 1–5. 12 indexed citations
10.
Kerret, Paul de & David Gesbert. (2018). Robust Decentralized Joint Precoding using Team Deep Neural Network. 1–5. 14 indexed citations
11.
Chen, Junting, et al.. (2017). Learning radio maps for UAV-aided wireless networks: A segmented regression approach. 1–6. 112 indexed citations
12.
Kerret, Paul de & David Gesbert. (2016). Network MIMO: Transmitters with no CSI can still be very useful. 1466–1470. 5 indexed citations
13.
Tsinos, Christos G., et al.. (2015). Joint Power and Sensing Optimization for Hybrid Cognitive Radios with limited CSIT. Graduate School and Research Center in Digital Science (EURECOM). 1–7. 3 indexed citations
14.
Kerret, Paul de & David Gesbert. (2011). The Multiplexing Gain of the Network MIMO Channel With Distributed CSI. arXiv (Cornell University). 3 indexed citations
15.
Karipidis, Eleftherios, David Gesbert, Martin Haardt, et al.. (2011). Transmit beamforming for inter-operator spectrum sharing. Graduate School and Research Center in Digital Science (EURECOM). 1–8. 6 indexed citations
16.
Guillaud, Maxime & David Gesbert. (2011). Interference alignment in the partially connected K-user MIMO interference channel. Graduate School and Research Center in Digital Science (EURECOM). 1095–1099. 19 indexed citations
17.
Jorswieck, Eduard A., Leonardo Badia, David Gesbert, et al.. (2010). Resource sharing in wireless networks: The SAPHYRE approach. TNO Repository. 1–8. 13 indexed citations
18.
Gesbert, David, Saad G. Kiani, Anders Gjendemsjø, & Geir E. Øien. (2007). Adaptation, Coordination, and Distributed Resource Allocation in Interference-Limited Wireless Networks Joint multicell resource allocation offers an enormous number of degrees of freedom that can be exploited to optimize the network performance.. Proceedings of the IEEE. 95(12). 2393–2409. 16 indexed citations
19.
Bölcskei, Helmut, David Gesbert, Constantinos B. Papadias, & A. van Veen. (2006). Space-Time Wireless Systems: From Array Processing to MIMO Communications. Cambridge University Press eBooks. 89 indexed citations
20.
Hjørungnes, Are & David Gesbert. (2004). Exact SER-precoding of orthogonal space-time block coded correlated mimo channels: an iterative approach. 336–339. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026