A. Lamas
Impact in
- Health Informatics top 10%
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
Papers in ⓘ
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- Evolutionary Algorithms and Applications 2
- Anomaly Detection Techniques and Applications 1
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 2
- Co-authors
- Siham Tabik (5 shared papers)Francisco Herrera (5 shared papers)Roberto Olmos (3 shared papers)Francisco Pérez-Hernández (3 shared papers)Hamido Fujita (1 shared paper)Rosana Montes (2 shared papers)David Filliat (1 shared paper)Gianni Franchi (1 shared paper)
- Journals
- Neurocomputing (2 papers)Knowledge-Based Systems (1 paper)Information Fusion (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- SpainSaudi ArabiaMexico
In The Last Decade
A. Lamas
10 papers receiving 290 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 12
- Computer Vision and Pattern Recognition 154
- Artificial Intelligence 152
- Safety, Risk, Reliability and Quality 27
- Geology 16
Countries citing papers authored by A. Lamas
This map shows the geographic impact of A. Lamas'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 A. Lamas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Lamas more than expected).
Fields of papers citing papers by A. Lamas
This network shows the impact of papers produced by A. Lamas. 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 A. Lamas. The network helps show where A. Lamas may publish in the future.
Co-authors
The 16 scholars most cited alongside A. Lamas, 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 | 2020 | 132 | |
| 2 | 2022 | 62 | |
| 3 | 2022 | 39 | |
| 4 | 2018 | 34 | |
| 5 | 2020 | 29 | |
| 6 | 2005 | 5 | |
| 7 | On Line Darwinist Cognitive Mechanism for an Artificial Organism | 2006 | 3 |
| 8 | Multilevel Darwinist Brain and Autonomously Learning to Walk | 2006 | 2 |
| 9 | 2004 | 1 | |
| 10 | 2005 | 1 |
About A. Lamas
A. Lamas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering and Control and Systems Engineering, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers), Evolutionary Algorithms and Applications (2 papers), Conservation Techniques and Studies (1 paper), Vehicle Noise and Vibration Control (1 paper), Anomaly Detection Techniques and Applications (1 paper), Ship Hydrodynamics and Maneuverability (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (154 citations), Artificial Intelligence (152 citations), Safety, Risk, Reliability and Quality (27 citations) and Geology (16 citations). A. Lamas has collaborated with scholars based in Spain, Saudi Arabia and Mexico. Frequent co-authors include Siham Tabik, Francisco Herrera, Roberto Olmos, Francisco Pérez-Hernández, Hamido Fujita, Rosana Montes, David Filliat, Gianni Franchi, Ivan Donadello and Natalia Díaz-Rodríguez. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems, Information Fusion and arXiv (Cornell University).
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.