Jesús Cid‐Sueiro

990 total citations
60 papers, 600 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 600 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 Francisco J. Valverde-Albacete 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 560 citations

Peers

Jesús Cid‐Sueiro
Comparison fields: 5 of 87
  • Artificial Intelligence 302
  • Computer Networks and Communications 212
  • Electrical and Electronic Engineering 151
  • Signal Processing 83
  • Computer Vision and Pattern Recognition 80
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Hiroyuki Kasai Japan
Haitao Lin China
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Citations per field, relative to Jesús Cid‐Sueiro
Jesús Cid‐Sueiro · 1×
Citations per year, relative to Jesús Cid‐Sueiro
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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

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 1
4 9
5
Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation
2
6
Proper losses for learning from partial labels
14
7 2
8 34
9 16
10 1
11
Minimax Regret Classifier for Imprecise Class Distributions
11
12 5
13 32
14 2
15 5
16 17
17
BAYESIAN AND RBF STRUCTURES FOR W I RE LESS CO M M U N I CAT IONS DETECT ION
2
18 5
19 5
20 53

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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