Daniel Peralta
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- Biometric Identification and Security 11
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- Face and Expression Recognition 6
- Co-authors
- Francisco Herrera (15 shared papers)Isaac Triguero (11 shared papers)José M. Benítez (13 shared papers)Salvador García (9 shared papers)Yvan Saeys (9 shared papers)Jaume Bacardit (2 shared papers)Mikel Galar (4 shared papers)Daniel Paternain (3 shared papers)
- Journals
- Knowledge-Based Systems (3 papers)Information Sciences (2 papers)Cytometry Part A (2 papers)International Journal of Computational Intelligence Systems (2 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- BelgiumSpainUnited Kingdom
In The Last Decade
Daniel Peralta
32 papers receiving 964 citations
Peers
Comparison fields: 5 of 123
- Signal Processing 352
- Computer Vision and Pattern Recognition 375
- Artificial Intelligence 351
- Safety Research 91
- Biophysics 60
Countries citing papers authored by Daniel Peralta
This map shows the geographic impact of Daniel Peralta'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 Daniel Peralta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Peralta more than expected).
Fields of papers citing papers by Daniel Peralta
This network shows the impact of papers produced by Daniel Peralta. 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 Daniel Peralta. The network helps show where Daniel Peralta may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Peralta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 169 | |
| 2 | 2015 | 111 | |
| 3 | 2015 | 102 | |
| 4 | 2019 | 89 | |
| 5 | 2017 | 67 | |
| 6 | 2015 | 55 | |
| 7 | 2016 | 54 | |
| 8 | 2013 | 50 | |
| 9 | 2015 | 37 | |
| 10 | 2014 | 33 | |
| 11 | 2017 | 27 | |
| 12 | 2017 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2014 | 24 | |
| 15 | 2020 | 21 | |
| 16 | 2024 | 18 | |
| 17 | 2016 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2019 | 12 |
About Daniel Peralta
Daniel Peralta is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Molecular Biology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biometric Identification and Security (11 papers), Face and Expression Recognition (6 papers), Machine Learning and Data Classification (6 papers), User Authentication and Security Systems (6 papers), Imbalanced Data Classification Techniques (5 papers), Forensic Fingerprint Detection Methods (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Signal Processing (352 citations), Computer Vision and Pattern Recognition (375 citations), Artificial Intelligence (351 citations), Safety Research (91 citations) and Biophysics (60 citations). Daniel Peralta has collaborated with scholars based in Belgium, Spain and United Kingdom. Frequent co-authors include Francisco Herrera, Isaac Triguero, José M. Benítez, Salvador García, Yvan Saeys, Jaume Bacardit, Mikel Galar, Daniel Paternain, Humberto Bustince and Edurne Barrenechea. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, Cytometry Part A, International Journal of Computational Intelligence Systems and Engineering Applications of Artificial 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.