Jesús Cid‐Sueiro
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Anı́bal R. Figueiras-VidalAlicia Guerrero-CuriesesJuan Ignacio ArribasRocío Aláiz-RodríguezAntonio G. MarquésAntonio Artés-Rodrı́guezRaúl Santos‐RodríguezTülay Adalı
- Topics
- Neural Networks and Applications (15 papers)Blind Source Separation Techniques (12 papers)Target Tracking and Data Fusion in Sensor Networks (9 papers)
- Journals
- IEEE Transactions on Signal ProcessingMagnetic Resonance in MedicineIEEE Journal on Selected Areas in Communications
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Jesús Cid‐Sueiro
57 papers receiving 560 citations
Peers
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
Countries citing papers authored by Jesús Cid‐Sueiro
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
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
| # | 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 |
About Jesús Cid‐Sueiro
Jesús Cid‐Sueiro is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 60 papers that have together received 600 indexed citations. Recurring topics across this 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). The work is most often cited by research in Artificial Intelligence (302 citations), Computer Networks and Communications (212 citations) and Signal Processing (83 citations). Jesús Cid‐Sueiro has collaborated with scholars based in Spain, United States and United Kingdom. Frequent 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. Their work appears in journals such as IEEE Transactions on Signal Processing, Magnetic Resonance in Medicine and IEEE Journal on Selected Areas in Communications.
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.