Miguel De‐la‐Torre
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses 7
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- Face and Expression Recognition 9
- Face recognition and analysis 7
- Video Surveillance and Tracking Methods 4
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- Smart Agriculture and AI 3
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- Biometric Identification and Security 4
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- Remote Sensing in Agriculture 4
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- Remote Sensing and LiDAR Applications 3
Miguel De‐la‐Torre
29 papers receiving 345 citations
Peers
Comparison fields: 5 of 89
- Analytical Chemistry 111
- Computer Vision and Pattern Recognition 93
- Plant Science 112
- Signal Processing 25
- Food Science 26
Countries citing papers authored by Miguel De‐la‐Torre
This map shows the geographic impact of Miguel De‐la‐Torre'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 Miguel De‐la‐Torre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel De‐la‐Torre more than expected).
Fields of papers citing papers by Miguel De‐la‐Torre
This network shows the impact of papers produced by Miguel De‐la‐Torre. 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 Miguel De‐la‐Torre. The network helps show where Miguel De‐la‐Torre may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Miguel De‐la‐Torre, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 0 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 23 | |
| 17 | 2015 | 25 | |
| 18 | 2015 | 1 | |
| 19 | 2014 | 2 | |
| 20 | 2012 | 9 |
About Miguel De‐la‐Torre
Miguel De‐la‐Torre is a scholar working on Health Informatics, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 353 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Face recognition and analysis (7 papers), Spectroscopy and Chemometric Analyses (7 papers), Biometric Identification and Security (4 papers), Remote Sensing in Agriculture (4 papers), Video Surveillance and Tracking Methods (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Analytical Chemistry (111 citations), Computer Vision and Pattern Recognition (93 citations) and Plant Science (112 citations). Miguel De‐la‐Torre has collaborated with scholars based in Mexico, Peru and Canada. Frequent co-authors include Himer Ávila-George, Wilson Castro, Jimy Oblitas, Éric Granger, Robert Sabourin, Dmitry O. Gorodnichy, Felipe D. J. Sorcia‐Vázquez, Jesse Y. Rumbo‐Morales, Brenda Acevedo-Juárez and José Torres-Jiménez. Their work appears in journals such as IEEE Access, Pattern Recognition and Computers and Electronics in Agriculture.
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.