Alejandro Sánchez García
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Biomedical Engineering
- Computational Mechanics
- Control and Systems Engineering
- Co-authors
- Javier Gámez GarcíaJuan Gómez OrtegaSilvia Satorres MartínezElísabet EstévezJacques MarescauxDidier MutterIain JourdanErik Dutson
- Topics
- Robot Manipulation and Learning (8 papers)Industrial Vision Systems and Defect Detection (8 papers)Manufacturing Process and Optimization (7 papers)
In The Last Decade
Alejandro Sánchez García
27 papers receiving 297 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 111
- Industrial and Manufacturing Engineering 110
- Biomedical Engineering 63
- Computational Mechanics 62
- Control and Systems Engineering 61
Countries citing papers authored by Alejandro Sánchez García
This map shows the geographic impact of Alejandro Sánchez García'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 Alejandro Sánchez García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Sánchez García more than expected).
Fields of papers citing papers by Alejandro Sánchez García
This network shows the impact of papers produced by Alejandro Sánchez García. 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 Alejandro Sánchez García. The network helps show where Alejandro Sánchez García may publish in the future.
Co-authorship network of co-authors of Alejandro Sánchez García
This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Sánchez García. A scholar is included among the top collaborators of Alejandro Sánchez García 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 Alejandro Sánchez García. Alejandro Sánchez García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 49 | |
| 18 | 3 | |
| 19 | 31 | |
| 20 | 5 |
About Alejandro Sánchez García
Alejandro Sánchez García is a scholar working on Industrial and Manufacturing Engineering, Software and Instrumentation, having authored 29 papers that have together received 315 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Industrial Vision Systems and Defect Detection (8 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (110 citations), Software (22 citations) and Computer Vision and Pattern Recognition (111 citations). Alejandro Sánchez García has collaborated with scholars based in Spain, Belarus and Colombia. Frequent co-authors include Javier Gámez García, Juan Gómez Ortega, Silvia Satorres Martínez, Elísabet Estévez, Jacques Marescaux, Didier Mutter, Iain Jourdan, Erik Dutson, Joël Leroy and Qianwen Li. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and British journal of surgery.
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.