Erick Rodríguez-Esparza
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Ophthalmology top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Diego OlivaMarco Pérez‐CisnerosLaura A. Zanella-CalzadaDaniel ZaldívarAli Asghar HeidariLoke Kok FoongRobert J. ZawadzkiAboul Ella Hassanien
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Evolutionary Algorithms and Applications (7 papers)
In The Last Decade
Erick Rodríguez-Esparza
16 papers receiving 341 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 131
- Artificial Intelligence 131
- Radiology, Nuclear Medicine and Imaging 78
- Ophthalmology 49
- Computational Theory and Mathematics 46
Countries citing papers authored by Erick Rodríguez-Esparza
This map shows the geographic impact of Erick Rodríguez-Esparza'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 Erick Rodríguez-Esparza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erick Rodríguez-Esparza more than expected).
Fields of papers citing papers by Erick Rodríguez-Esparza
This network shows the impact of papers produced by Erick Rodríguez-Esparza. 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 Erick Rodríguez-Esparza. The network helps show where Erick Rodríguez-Esparza may publish in the future.
Co-authorship network of co-authors of Erick Rodríguez-Esparza
This figure shows the co-authorship network connecting the top 25 collaborators of Erick Rodríguez-Esparza. A scholar is included among the top collaborators of Erick Rodríguez-Esparza 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 Erick Rodríguez-Esparza. Erick Rodríguez-Esparza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 68 | |
| 14 | 2 | |
| 15 | 31 | |
| 16 | 21 | |
| 17 | 10 | |
| 18 | 164 | |
| 19 | 12 | |
| 20 | 4 |
About Erick Rodríguez-Esparza
Erick Rodríguez-Esparza is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 350 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Ophthalmology (49 citations) and Media Technology (45 citations). Erick Rodríguez-Esparza has collaborated with scholars based in Mexico, Spain and Egypt. Frequent co-authors include Diego Oliva, Marco Pérez‐Cisneros, Laura A. Zanella-Calzada, Daniel Zaldívar, Ali Asghar Heidari, Loke Kok Foong, Robert J. Zawadzki, Aboul Ella Hassanien, Ratheesh K. Meleppat and Enrique Onieva. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.
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.