Fernando Pérez‐Cruz
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 16
- Bayesian Methods and Mixture Models 11
- Target Tracking and Data Fusion in Sensor Networks 11
- Signal Processing top 2%
- Blind Source Separation Techniques 18
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- Error Correcting Code Techniques 19
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- Face and Expression Recognition 9
- Health Informatics top 5%
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- Advanced Wireless Communication Techniques 20
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- Control Systems and Identification 12
- Co-authors
- Giuseppe AtenieseBriland HitajAntonio Artés-Rodrı́guezMatilde Sánchez-FernándezSergio VerdúJerónimo Arenas‐GarcíaPablo M. OlmosGustau Camps‐Valls
- Journals
- Bioinformatics (1 paper)PLoS ONE (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Fernando Pérez‐Cruz
125 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 1.5k
- Signal Processing 369
- Computer Networks and Communications 625
- Computer Vision and Pattern Recognition 516
- Health Informatics 32
Countries citing papers authored by Fernando Pérez‐Cruz
This map shows the geographic impact of Fernando Pérez‐Cruz'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 Fernando Pérez‐Cruz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Pérez‐Cruz more than expected).
Fields of papers citing papers by Fernando Pérez‐Cruz
This network shows the impact of papers produced by Fernando Pérez‐Cruz. 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 Fernando Pérez‐Cruz. The network helps show where Fernando Pérez‐Cruz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando Pérez‐Cruz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 27 | |
| 11 | 2020 | 48 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 1 | |
| 15 | 2015 | 25 | |
| 16 | 2014 | 14 | |
| 17 | Bayesian Nonparametric Modeling of Suicide Attempts | 2012 | 7 |
| 18 | Estimation of Information Theoretic Measures for Continuous Random Variables | 2008 | 35 |
| 19 | Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies: Research Articles | 2004 | 2 |
| 20 | Some experiments on speaker-independent isolated digit recognition using SVM classifiers. | 2003 | 5 |
About Fernando Pérez‐Cruz
Fernando Pérez‐Cruz is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 130 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (20 papers), Error Correcting Code Techniques (19 papers), Blind Source Separation Techniques (18 papers), Neural Networks and Applications (16 papers), Control Systems and Identification (12 papers), Bayesian Methods and Mixture Models (11 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Signal Processing (369 citations) and Computer Networks and Communications (625 citations). Fernando Pérez‐Cruz has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Giuseppe Ateniese, Briland Hitaj, Antonio Artés-Rodrı́guez, Matilde Sánchez-Fernández, Sergio Verdú, Jerónimo Arenas‐García, Pablo M. Olmos, Gustau Camps‐Valls, Miguel R. D. Rodrigues and Juan José Murillo-Fuentes. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.