R. Alejo
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 10%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Text and Document Classification Technologies
Papers in
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- Imbalanced Data Classification Techniques 9
- Anomaly Detection Techniques and Applications 6
- Machine Learning and Data Classification 3
- Advanced Clustering Algorithms Research 2
- Hate Speech and Cyberbullying Detection 2
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- Digital Imaging for Blood Diseases 2
- Co-authors
- J. H. Pacheco‐Sánchez (8 shared papers)E. E. Granda-Gutiérrez (11 shared papers)Vicente García (4 shared papers)Eréndira Rendón (8 shared papers)Sonia Martínez‐Gallegos (2 shared papers)Fernando Álvarez (1 shared paper)Daniel Villanueva (1 shared paper)Javier Illescas (1 shared paper)
In The Last Decade
R. Alejo
27 papers receiving 338 citations
Peers
Comparison fields: 5 of 95
- Health Information Management 26
- Artificial Intelligence 164
- Energy Engineering and Power Technology 9
- Analytical Chemistry 19
- Media Technology 15
Countries citing papers authored by R. Alejo
This map shows the geographic impact of R. Alejo'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 R. Alejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Alejo more than expected).
Fields of papers citing papers by R. Alejo
This network shows the impact of papers produced by R. Alejo. 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 R. Alejo. The network helps show where R. Alejo may publish in the future.
Co-authors
The 16 scholars most cited alongside R. Alejo, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 86 | |
| 2 | 2012 | 59 | |
| 3 | 2020 | 38 | |
| 4 | 2014 | 29 | |
| 5 | 2021 | 21 | |
| 6 | 2024 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2025 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2016 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2017 | 8 | |
| 13 | 2023 | 5 | |
| 14 | 2002 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2013 | 2 |
About R. Alejo
R. Alejo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Mechanics of Materials and Analytical Chemistry, having authored 30 papers that have together received 347 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (9 papers), Anomaly Detection Techniques and Applications (6 papers), Machine Learning and Data Classification (3 papers), Recycling and Waste Management Techniques (2 papers), Advanced Clustering Algorithms Research (2 papers), Digital Imaging for Blood Diseases (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Health Information Management (26 citations), Artificial Intelligence (164 citations), Energy Engineering and Power Technology (9 citations), Analytical Chemistry (19 citations) and Media Technology (15 citations). R. Alejo has collaborated with scholars based in Mexico, France and Spain. Frequent co-authors include J. H. Pacheco‐Sánchez, E. E. Granda-Gutiérrez, Vicente García, Eréndira Rendón, Sonia Martínez‐Gallegos, Fernando Álvarez, Daniel Villanueva, Javier Illescas, J. Salvador Sánchez and R. Barandela. Their work appears in journals such as Applied Sciences, International Journal of Hydrogen Energy, Data in Brief, Pattern Recognition Letters and Neural Processing Letters.
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.