Diego R. Faria
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Human-Computer Interaction top 2%
- Co-authors
- Jordan J. BirdAnikó EkártCristiano PremebidaUrbano NunesEduardo Parente RibeiroJorge DiasLuis J. MansoJorge Lobo
- Topics
- Human Pose and Action Recognition (12 papers)Hand Gesture Recognition Systems (11 papers)Robot Manipulation and Learning (10 papers)
- Partner nations
- United KingdomPortugalBrazil
In The Last Decade
Diego R. Faria
53 papers receiving 910 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 351
- Cognitive Neuroscience 262
- Artificial Intelligence 246
- Biomedical Engineering 215
- Human-Computer Interaction 181
Countries citing papers authored by Diego R. Faria
This map shows the geographic impact of Diego R. Faria'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 Diego R. Faria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego R. Faria more than expected).
Fields of papers citing papers by Diego R. Faria
This network shows the impact of papers produced by Diego R. Faria. 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 Diego R. Faria. The network helps show where Diego R. Faria may publish in the future.
Co-authorship network of co-authors of Diego R. Faria
This figure shows the co-authorship network connecting the top 25 collaborators of Diego R. Faria. A scholar is included among the top collaborators of Diego R. Faria 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 Diego R. Faria. Diego R. Faria 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 | 3 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 41 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 33 | |
| 11 | 73 | |
| 12 | 18 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 27 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 9 | |
| 20 | Grasping movements recognition in 3D space using a Bayesian approach | 7 |
About Diego R. Faria
Diego R. Faria is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 55 papers that have together received 936 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Hand Gesture Recognition Systems (11 papers) and Robot Manipulation and Learning (10 papers). The work is most often cited by research in Human-Computer Interaction (181 citations), Computer Vision and Pattern Recognition (351 citations) and Cognitive Neuroscience (262 citations). Diego R. Faria has collaborated with scholars based in United Kingdom, Portugal and Brazil. Frequent co-authors include Jordan J. Bird, Anikó Ekárt, Cristiano Premebida, Urbano Nunes, Eduardo Parente Ribeiro, Jorge Dias, Luis J. Manso, Jorge Lobo, Nicola Bellotto and Paulo Peixoto. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.