Milton García-Borroto
- Signal Processing top 5%
- Biometric Identification and Security 4
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 9
- Machine Learning and Data Classification 4
- Advanced Clustering Algorithms Research 3
- Information Systems top 5%
- Data Mining Algorithms and Applications 12
- Safety Research top 10%
- Health Information Management top 10%
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- Rough Sets and Fuzzy Logic 6
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- Electricity Theft Detection Techniques 3
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- Forensic and Genetic Research 2
- Co-authors
- Jesús Ariel Carrasco-OchoaJosé Fco. Martínez-TrinidadOctavio Loyola‐GonzálezMiguel Angel Medina‐PérezRaúl MonroyLeopoldo Altamirano-RoblesAythami MoralesMiguel A. Ferrer
- Journals
- SHILAP Revista de lepidopterología (2 papers)Expert Systems with Applications (2 papers)IEEE Access (2 papers)
In The Last Decade
Milton García-Borroto
24 papers receiving 565 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 143
- Artificial Intelligence 357
- Information Systems 190
- Safety Research 51
- Health Information Management 21
Countries citing papers authored by Milton García-Borroto
This map shows the geographic impact of Milton García-Borroto'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 Milton García-Borroto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milton García-Borroto more than expected).
Fields of papers citing papers by Milton García-Borroto
This network shows the impact of papers produced by Milton García-Borroto. 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 Milton García-Borroto. The network helps show where Milton García-Borroto may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Milton García-Borroto, 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 | 2021 | 3 | |
| 2 | 2020 | 31 | |
| 3 | 2019 | 11 | |
| 4 | 2019 | 17 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 31 | |
| 7 | 2016 | 57 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 21 | |
| 11 | 2015 | 140 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 28 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 10 | |
| 16 | 2012 | 27 | |
| 17 | 2011 | 6 | |
| 18 | 2010 | 24 | |
| 19 | 2010 | 29 | |
| 20 | 2008 | 3 |
About Milton García-Borroto
Milton García-Borroto is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 24 papers that have together received 576 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Imbalanced Data Classification Techniques (9 papers), Rough Sets and Fuzzy Logic (6 papers), Biometric Identification and Security (4 papers), Machine Learning and Data Classification (4 papers), Electricity Theft Detection Techniques (3 papers), Advanced Clustering Algorithms Research (3 papers) and Forensic and Genetic Research (2 papers). The work is most often cited by research in Signal Processing (143 citations), Artificial Intelligence (357 citations) and Information Systems (190 citations). Milton García-Borroto has collaborated with scholars based in Mexico, Cuba and Spain. Frequent co-authors include Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Octavio Loyola‐González, Miguel Angel Medina‐Pérez, Raúl Monroy, Leopoldo Altamirano-Robles, Aythami Morales, Miguel A. Ferrer, José Ruíz-Shulcloper and C. J. Carmona. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.