Helbert Espitia
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Fuzzy Logic and Control Systems
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Fuzzy Logic and Control Systems 18
- Metaheuristic Optimization Algorithms Research 13
- Evolutionary Algorithms and Applications 8
- Neural Networks and Applications 7
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- Microgrid Control and Optimization 5
- Co-authors
- Carlos Montenegro (4 shared papers)Jorge Ivan Sofrony (9 shared papers)María C. M. de Guerrero (2 shared papers)Rubén González Crespo (2 shared papers)Hilario López-García (14 shared papers)Iván Machón-González (12 shared papers)Elena Giménez (1 shared paper)Binh-Minh Nguyen (1 shared paper)
In The Last Decade
Helbert Espitia
75 papers receiving 538 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 183
- Computational Theory and Mathematics 77
- Control and Systems Engineering 96
- Cognitive Neuroscience 55
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Helbert Espitia
This map shows the geographic impact of Helbert Espitia'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 Helbert Espitia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helbert Espitia more than expected).
Fields of papers citing papers by Helbert Espitia
This network shows the impact of papers produced by Helbert Espitia. 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 Helbert Espitia. The network helps show where Helbert Espitia may publish in the future.
Co-authors
The 15 scholars most cited alongside Helbert Espitia, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2016 | 64 | |
| 3 | 2022 | 42 | |
| 4 | 2015 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2011 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2011 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 7 |
About Helbert Espitia
Helbert Espitia is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 85 papers that have together received 557 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (18 papers), Metaheuristic Optimization Algorithms Research (13 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Neural Networks and Applications (7 papers), Advanced DC-DC Converters (5 papers), Microgrid Control and Optimization (5 papers) and Distributed Control Multi-Agent Systems (4 papers). The work is most often cited by research in Artificial Intelligence (183 citations), Computational Theory and Mathematics (77 citations), Control and Systems Engineering (96 citations), Cognitive Neuroscience (55 citations) and Computer Vision and Pattern Recognition (49 citations). Helbert Espitia has collaborated with scholars based in Colombia, Spain and France. Frequent co-authors include Carlos Montenegro, Jorge Ivan Sofrony, María C. M. de Guerrero, Rubén González Crespo, Hilario López-García, Iván Machón-González, Elena Giménez, Binh-Minh Nguyen, Juan Pablo Rodríguez Miranda and Harold R. Chamorro. Their work appears in journals such as Heliyon, Complexity, Applied Soft Computing, Symmetry 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.