Antonio Rodrı́guez-Sánchez
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Control and Systems Engineering
- Co-authors
- Justus PiaterJohn K. TsotsosNorbert KrügerPeter JanssenSinan KalkanAleš LeonardisMarkus LappeLaurenz Wiskott
- Topics
- Visual perception and processing mechanisms (11 papers)Neural dynamics and brain function (6 papers)Robot Manipulation and Learning (6 papers)
In The Last Decade
Antonio Rodrı́guez-Sánchez
36 papers receiving 557 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 285
- Cognitive Neuroscience 185
- Artificial Intelligence 119
- Media Technology 94
- Control and Systems Engineering 51
Countries citing papers authored by Antonio Rodrı́guez-Sánchez
This map shows the geographic impact of Antonio Rodrı́guez-Sánchez'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 Antonio Rodrı́guez-Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Rodrı́guez-Sánchez more than expected).
Fields of papers citing papers by Antonio Rodrı́guez-Sánchez
This network shows the impact of papers produced by Antonio Rodrı́guez-Sánchez. 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 Antonio Rodrı́guez-Sánchez. The network helps show where Antonio Rodrı́guez-Sánchez may publish in the future.
Co-authorship network of co-authors of Antonio Rodrı́guez-Sánchez
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Rodrı́guez-Sánchez. A scholar is included among the top collaborators of Antonio Rodrı́guez-Sánchez 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 Antonio Rodrı́guez-Sánchez. Antonio Rodrı́guez-Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 43 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 31 | |
| 14 | 7 | |
| 15 | 243 | |
| 16 | 30 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 39 | |
| 20 | 22 |
About Antonio Rodrı́guez-Sánchez
Antonio Rodrı́guez-Sánchez is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence, having authored 36 papers that have together received 578 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (11 papers), Neural dynamics and brain function (6 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (285 citations), Media Technology (94 citations) and Cognitive Neuroscience (185 citations). Antonio Rodrı́guez-Sánchez has collaborated with scholars based in Austria, Canada and Czechia. Frequent co-authors include Justus Piater, John K. Tsotsos, Norbert Krüger, Peter Janssen, Sinan Kalkan, Aleš Leonardis, Markus Lappe, Laurenz Wiskott, Sebastian Stabinger and Zuzana Komínková Oplatková. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Brain Research.
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.