Erik Zamora
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Co-authors
- Humberto SossaGerardo HernándezWen YuLuis Arturo SorianoDavid BalderasA. SoriaI. González-HernándezRogelio Lozano
- Topics
- Neural Networks and Applications (9 papers)Robotics and Sensor-Based Localization (7 papers)Face and Expression Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaSensorsNeurocomputing
In The Last Decade
Erik Zamora
25 papers receiving 386 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 160
- Computer Vision and Pattern Recognition 106
- Control and Systems Engineering 91
- Electrical and Electronic Engineering 53
- Aerospace Engineering 53
Countries citing papers authored by Erik Zamora
This map shows the geographic impact of Erik Zamora'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 Erik Zamora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Zamora more than expected).
Fields of papers citing papers by Erik Zamora
This network shows the impact of papers produced by Erik Zamora. 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 Erik Zamora. The network helps show where Erik Zamora may publish in the future.
Co-authorship network of co-authors of Erik Zamora
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Zamora. A scholar is included among the top collaborators of Erik Zamora 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 Erik Zamora. Erik Zamora 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 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 76 | |
| 6 | 85 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 24 | |
| 10 | 11 | |
| 11 | 37 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 20 |
About Erik Zamora
Erik Zamora is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 25 papers that have together received 394 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Robotics and Sensor-Based Localization (7 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Artificial Intelligence (160 citations) and Control and Systems Engineering (91 citations). Erik Zamora has collaborated with scholars based in Mexico, France and Ecuador. Frequent co-authors include Humberto Sossa, Gerardo Hernández, Wen Yu, Luis Arturo Soriano, David Balderas, A. Soria, I. González-Hernández, Rogelio Lozano, Fernando Terán Arce and Juan Irving Vasquez-Gomez. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Neurocomputing.
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.