Roberto Leyva
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Digital Media Forensic Detection
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 7
- Advanced Vision and Imaging 3
- Face recognition and analysis 3
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- Anomaly Detection Techniques and Applications 8
- Co-authors
- Víctor Sánchez (16 shared papers)Chang‐Tsun Li (11 shared papers)Hector Perez‐Meana (2 shared papers)Jesús Olivares-Mercado (2 shared papers)José Portillo-Portillo (2 shared papers)Gabriel Sánchez-Pérez (2 shared papers)Mariko Nakano-Miyatake (2 shared papers)Karina Toscano-Medina (2 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)Applied Intelligence (1 paper)ACM Computing Surveys (1 paper)Neurocomputing (1 paper)Sensors (1 paper)
- Partner nations
- United KingdomAustraliaBrazil
In The Last Decade
Roberto Leyva
20 papers receiving 277 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 189
- Artificial Intelligence 210
- Computer Networks and Communications 114
- Biomedical Engineering 93
- Signal Processing 23
Countries citing papers authored by Roberto Leyva
This map shows the geographic impact of Roberto Leyva'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 Roberto Leyva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Leyva more than expected).
Fields of papers citing papers by Roberto Leyva
This network shows the impact of papers produced by Roberto Leyva. 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 Roberto Leyva. The network helps show where Roberto Leyva may publish in the future.
Co-authors
The 14 scholars most cited alongside Roberto Leyva, 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 | 2017 | 126 | |
| 2 | 2017 | 34 | |
| 3 | 2016 | 24 | |
| 4 | 2017 | 18 | |
| 5 | 2017 | 15 | |
| 6 | 2019 | 11 | |
| 7 | 2014 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2016 | 7 | |
| 10 | 2016 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2024 | 3 | |
| 16 | Multimodal deep features fusion for video memorability prediction | 2019 | 2 |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 1 |
About Roberto Leyva
Roberto Leyva is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications and Signal Processing, having authored 20 papers that have together received 288 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (7 papers), Gait Recognition and Analysis (5 papers), Artificial Immune Systems Applications (4 papers), Advanced Vision and Imaging (3 papers), Face recognition and analysis (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Artificial Intelligence (210 citations), Computer Networks and Communications (114 citations), Biomedical Engineering (93 citations) and Signal Processing (23 citations). Roberto Leyva has collaborated with scholars based in United Kingdom, Australia and Brazil. Frequent co-authors include Víctor Sánchez, Chang‐Tsun Li, Hector Perez‐Meana, Jesús Olivares-Mercado, José Portillo-Portillo, Gabriel Sánchez-Pérez, Mariko Nakano-Miyatake, Karina Toscano-Medina, Gregory Epiphaniou and Carsten Maple. Their work appears in journals such as IEEE Transactions on Image Processing, Applied Intelligence, ACM Computing Surveys, Neurocomputing and Sensors.
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.