Víctor Rodríguez-Fernández
- Signal Processing top 10%
- Time Series Analysis and Forecasting 6
- Software top 10%
-
- Robotics and Sensor-Based Localization 4
-
- Robotic Path Planning Algorithms 7
-
- Anomaly Detection Techniques and Applications 7
- Target Tracking and Data Fusion in Sensor Networks 5
- AI-based Problem Solving and Planning 3
-
- Solar and Space Plasma Dynamics 3
- Astro and Planetary Science 3
- Co-authors
- David CamachoHéctor D. MenéndezAlejandro MartínCristian Ramirez‐AtenciaAntonio González-PardoEdmondo MinisciCătălin GaleşAlessandra Celletti
- Journals
- Scientific Reports (1 paper)Expert Systems with Applications (2 papers)IEEE Transactions on Industrial Informatics (2 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Víctor Rodríguez-Fernández
30 papers receiving 279 citations
Peers
Comparison fields: 5 of 74
- Signal Processing 85
- Software 29
- Computer Networks and Communications 83
- Aerospace Engineering 71
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Víctor Rodríguez-Fernández
This map shows the geographic impact of Víctor Rodríguez-Fernández'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 Víctor Rodríguez-Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Víctor Rodríguez-Fernández more than expected).
Fields of papers citing papers by Víctor Rodríguez-Fernández
This network shows the impact of papers produced by Víctor Rodríguez-Fernández. 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 Víctor Rodríguez-Fernández. The network helps show where Víctor Rodríguez-Fernández may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Víctor Rodríguez-Fernández, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 25 | |
| 10 | Artificial Intelligence for All vs. All Conjunction Screening | 2021 | 2 |
| 11 | 2018 | 61 | |
| 12 | 2018 | 2 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 27 | |
| 17 | User Profile Analysis for UAV Operators in a Simulation Environment. | 2015 | 1 |
| 18 | 2015 | 20 | |
| 19 | 2015 | 17 | |
| 20 | 2015 | 8 |
About Víctor Rodríguez-Fernández
Víctor Rodríguez-Fernández is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 33 papers that have together received 292 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Robotic Path Planning Algorithms (7 papers), Time Series Analysis and Forecasting (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Robotics and Sensor-Based Localization (4 papers), AI-based Problem Solving and Planning (3 papers), Solar and Space Plasma Dynamics (3 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Signal Processing (85 citations), Software (29 citations) and Computer Networks and Communications (83 citations). Víctor Rodríguez-Fernández has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include David Camacho, Héctor D. Menéndez, Alejandro Martín, Cristian Ramirez‐Atencia, Antonio González-Pardo, Edmondo Minisci, Cătălin Galeş, Alessandra Celletti, Massimiliano Vasile and Hodei Urrutxua. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Transactions on Industrial Informatics.
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.