Katya Rodríguez‐Vázquez
- Artificial Intelligence top 10%
- Control and Systems Engineering top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- P.J. FlemingCarlos M. FonsecaErnesto Pérez‐RuedaMario Alberto Martínez‐NúñezA.E. RuanoDavid HillD. ReesCésar Teixeira
- Topics
- Evolutionary Algorithms and Applications (11 papers)Control Systems and Identification (9 papers)Metaheuristic Optimization Algorithms Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- MexicoUnited KingdomPortugal
In The Last Decade
Katya Rodríguez‐Vázquez
43 papers receiving 503 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 186
- Control and Systems Engineering 158
- Molecular Biology 88
- Electrical and Electronic Engineering 54
- Computational Theory and Mathematics 45
Countries citing papers authored by Katya Rodríguez‐Vázquez
This map shows the geographic impact of Katya Rodríguez‐Vázquez'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 Katya Rodríguez‐Vázquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katya Rodríguez‐Vázquez more than expected).
Fields of papers citing papers by Katya Rodríguez‐Vázquez
This network shows the impact of papers produced by Katya Rodríguez‐Vázquez. 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 Katya Rodríguez‐Vázquez. The network helps show where Katya Rodríguez‐Vázquez may publish in the future.
Co-authorship network of co-authors of Katya Rodríguez‐Vázquez
This figure shows the co-authorship network connecting the top 25 collaborators of Katya Rodríguez‐Vázquez. A scholar is included among the top collaborators of Katya Rodríguez‐Vázquez 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 Katya Rodríguez‐Vázquez. Katya Rodríguez‐Vázquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 68 | |
| 19 | 6 | |
| 20 | 17 |
About Katya Rodríguez‐Vázquez
Katya Rodríguez‐Vázquez is a scholar working on Control and Systems Engineering, Artificial Intelligence and Molecular Biology, having authored 46 papers that have together received 528 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Control Systems and Identification (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Control and Systems Engineering (158 citations), Artificial Intelligence (186 citations) and Fluid Flow and Transfer Processes (22 citations). Katya Rodríguez‐Vázquez has collaborated with scholars based in Mexico, United Kingdom and Portugal. Frequent co-authors include P.J. Fleming, Carlos M. Fonseca, Ernesto Pérez‐Rueda, Mario Alberto Martínez‐Núñez, A.E. Ruano, David Hill, D. Rees, César Teixeira, J.P. Norton and C. Evans. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.