Héctor‐Gabriel Acosta‐Mesa
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Epidemiology
- Computer Networks and Communications
- Co-authors
- Nicandro Cruz-RamírezEfrén Mezura‐MontesHumberto Carrillo-CalvetHomero Vladimir Ríos-FigueroaReinel Tabares-SotoHarold Brayan Arteaga-ArteagaFlorina AlmenárezJuan Francisco Rodríguez‐Landa
- Topics
- Metaheuristic Optimization Algorithms Research (11 papers)Evolutionary Algorithms and Applications (10 papers)AI in cancer detection (7 papers)
In The Last Decade
Héctor‐Gabriel Acosta‐Mesa
44 papers receiving 386 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 59
- Signal Processing 45
- Epidemiology 42
- Computer Networks and Communications 35
Countries citing papers authored by Héctor‐Gabriel Acosta‐Mesa
This map shows the geographic impact of Héctor‐Gabriel Acosta‐Mesa'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 Héctor‐Gabriel Acosta‐Mesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Héctor‐Gabriel Acosta‐Mesa more than expected).
Fields of papers citing papers by Héctor‐Gabriel Acosta‐Mesa
This network shows the impact of papers produced by Héctor‐Gabriel Acosta‐Mesa. 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 Héctor‐Gabriel Acosta‐Mesa. The network helps show where Héctor‐Gabriel Acosta‐Mesa may publish in the future.
Co-authorship network of co-authors of Héctor‐Gabriel Acosta‐Mesa
This figure shows the co-authorship network connecting the top 25 collaborators of Héctor‐Gabriel Acosta‐Mesa. A scholar is included among the top collaborators of Héctor‐Gabriel Acosta‐Mesa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Héctor‐Gabriel Acosta‐Mesa. Héctor‐Gabriel Acosta‐Mesa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 19 | |
| 16 | 5 | |
| 17 | SUPPLEMENTATION EFFECT OF OMEGA-3 FATTY ACIDS IN OVERWEIGHT AND OBESE MEXICAN SCHOOLCHILDREN | 2 |
| 18 | 21 | |
| 19 | 32 | |
| 20 | 70 |
About Héctor‐Gabriel Acosta‐Mesa
Héctor‐Gabriel Acosta‐Mesa is a scholar working on Artificial Intelligence, Signal Processing and Biochemistry, having authored 55 papers that have together received 405 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (10 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Health Information Management (26 citations) and Signal Processing (45 citations). Héctor‐Gabriel Acosta‐Mesa has collaborated with scholars based in Mexico, Spain and Canada. Frequent co-authors include Nicandro Cruz-Ramírez, Efrén Mezura‐Montes, Humberto Carrillo-Calvet, Homero Vladimir Ríos-Figueroa, Reinel Tabares-Soto, Harold Brayan Arteaga-Arteaga, Florina Almenárez, Juan Francisco Rodríguez‐Landa, Tania Romo‐González and Enrique Meza. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Transactions on Evolutionary Computation.
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.