Jesús Malo
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Valero LaparraGustau Camps‐VallsJordi Muñoz-Marı́José María Gatell ArtigasIrene EpifanioDevis TuiaLuis Gómez‐ChovaJ. Aguado
- Topics
- Visual perception and processing mechanisms (33 papers)Image and Signal Denoising Methods (17 papers)Neural dynamics and brain function (16 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Neurophysiology
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
Jesús Malo
86 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 548
- Cognitive Neuroscience 313
- Media Technology 303
- Artificial Intelligence 149
- Atomic and Molecular Physics, and Optics 125
Countries citing papers authored by Jesús Malo
This map shows the geographic impact of Jesús Malo'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 Malo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesús Malo more than expected).
Fields of papers citing papers by Jesús Malo
This network shows the impact of papers produced by Jesús Malo. 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 Malo. The network helps show where Jesús Malo may publish in the future.
Co-authorship network of co-authors of Jesús Malo
This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Malo. A scholar is included among the top collaborators of Jesús Malo 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 Malo. Jesús Malo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 19 | |
| 10 | 17 | |
| 11 | MATLAB/OCTAVE TOOLS FOR THE VISUAL NEUROSCIENCE CLASS I: SIMULATING PHYSIOLOGICAL EXPERIMENTS IN MOTION SENSITIVE NEURONS | 0 |
| 12 | 15 | |
| 13 | 10 | |
| 14 | 72 | |
| 15 | 26 | |
| 16 | 76 | |
| 17 | 31 | |
| 18 | 6 | |
| 19 | 15 | |
| 20 | 1 |
About Jesús Malo
Jesús Malo is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (33 papers), Image and Signal Denoising Methods (17 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Media Technology (303 citations), Computer Vision and Pattern Recognition (548 citations) and Cognitive Neuroscience (313 citations). Jesús Malo has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Valero Laparra, Gustau Camps‐Valls, Jordi Muñoz-Marı́, José María Gatell Artigas, Irene Epifanio, Devis Tuia, Luis Gómez‐Chova, J. Aguado, Marcelo Bertalmı́o and A. Pons. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Neurophysiology.
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.