Jesús Cid‐Sueiro

91 total papers · 986 total citations
60 papers, 599 citations indexed

About

Jesús Cid‐Sueiro is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jesús Cid‐Sueiro has authored 60 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 15 papers in Signal Processing. Recurrent topics in Jesús Cid‐Sueiro's work include Neural Networks and Applications (15 papers), Blind Source Separation Techniques (12 papers) and Target Tracking and Data Fusion in Sensor Networks (9 papers). Jesús Cid‐Sueiro is often cited by papers focused on Neural Networks and Applications (15 papers), Blind Source Separation Techniques (12 papers) and Target Tracking and Data Fusion in Sensor Networks (9 papers). Jesús Cid‐Sueiro collaborates with scholars based in Spain, United States and United Kingdom. Jesús Cid‐Sueiro's co-authors include Anı́bal R. Figueiras-Vidal, Alicia Guerrero-Curieses, Juan Ignacio Arribas, Rocío Aláiz-Rodríguez, Antonio G. Marqués, Antonio Artés-Rodrı́guez, Raúl Santos‐Rodríguez, Tülay Adalı, A. Navia-Vázquez and Andra Lutu and has published in prestigious journals such as IEEE Transactions on Signal Processing, Magnetic Resonance in Medicine and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Jesús Cid‐Sueiro

57 papers receiving 559 citations

Author Peers

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

Author Last Decade Papers Cites
Jesús Cid‐Sueiro 301 212 151 83 80 60 599
Julien Ugon 205 0.7× 83 0.4× 77 0.5× 47 0.6× 158 2.0× 59 568
Teng Zhang 213 0.7× 79 0.4× 91 0.6× 85 1.0× 120 1.5× 47 501
Sukhamay Kundu 122 0.4× 113 0.5× 71 0.5× 60 0.7× 85 1.1× 48 551
Jian Li 226 0.8× 135 0.6× 45 0.3× 115 1.4× 90 1.1× 57 566
Pablo Piantanida 282 0.9× 261 1.2× 327 2.2× 28 0.3× 115 1.4× 80 592
Yuan Cao 274 0.9× 69 0.3× 106 0.7× 37 0.4× 190 2.4× 41 587
Qian Xu 162 0.5× 234 1.1× 180 1.2× 42 0.5× 61 0.8× 53 545
S. Rajaram 211 0.7× 72 0.3× 165 1.1× 96 1.2× 285 3.6× 83 669
Katsuari Kamei 389 1.3× 55 0.3× 76 0.5× 40 0.5× 71 0.9× 58 599
Laiwan Chan 373 1.2× 46 0.2× 80 0.5× 132 1.6× 130 1.6× 61 677

Countries citing papers authored by Jesús Cid‐Sueiro

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Cid‐Sueiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesús Cid‐Sueiro. 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 Jesús Cid‐Sueiro. The network helps show where Jesús Cid‐Sueiro may publish in the future.

Co-authorship network of co-authors of Jesús Cid‐Sueiro

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

All Works

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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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2026