Alberto Cordero-Dávila
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Atomic and Molecular Physics, and Optics
- Computational Mechanics top 10%
- Co-authors
- Alejandro Cornejo-Rodrı́guezCarlos Robledo-SánchezJ. Castro-RamosS. Vázquez-MontielGilberto Silva-OrtigozaRufino Díaz-UribeJuan NúñezJ. González‐Hernández
- Topics
- Adaptive optics and wavefront sensing (21 papers)Optical measurement and interference techniques (16 papers)Advanced Measurement and Metrology Techniques (14 papers)
- Journals
- Solar EnergyOptical EngineeringOptik
- Partner nations
- MexicoUnited StatesRussia
In The Last Decade
Alberto Cordero-Dávila
48 papers receiving 334 citations
Peers
Comparison fields: 5 of 39
- Biomedical Engineering 197
- Computer Vision and Pattern Recognition 160
- Mechanical Engineering 142
- Atomic and Molecular Physics, and Optics 132
- Computational Mechanics 88
Countries citing papers authored by Alberto Cordero-Dávila
This map shows the geographic impact of Alberto Cordero-Dávila'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 Alberto Cordero-Dávila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Cordero-Dávila more than expected).
Fields of papers citing papers by Alberto Cordero-Dávila
This network shows the impact of papers produced by Alberto Cordero-Dávila. 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 Alberto Cordero-Dávila. The network helps show where Alberto Cordero-Dávila may publish in the future.
Co-authorship network of co-authors of Alberto Cordero-Dávila
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Cordero-Dávila. A scholar is included among the top collaborators of Alberto Cordero-Dávila 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 Alberto Cordero-Dávila. Alberto Cordero-Dávila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 42 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 22 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 6 |
About Alberto Cordero-Dávila
Alberto Cordero-Dávila is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Structural Biology, having authored 52 papers that have together received 354 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (21 papers), Optical measurement and interference techniques (16 papers) and Advanced Measurement and Metrology Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Biomedical Engineering (197 citations) and Computational Mechanics (88 citations). Alberto Cordero-Dávila has collaborated with scholars based in Mexico, United States and Russia. Frequent co-authors include Alejandro Cornejo-Rodrı́guez, Carlos Robledo-Sánchez, J. Castro-Ramos, S. Vázquez-Montiel, Gilberto Silva-Ortigoza, Rufino Díaz-Uribe, Juan Núñez, J. González‐Hernández, David M. Gale and N. Bautista-Elivar. Their work appears in journals such as Solar Energy, Optical Engineering and Optik.
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.