Pedro Revenga
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 10%
- Human-Computer Interaction top 5%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Co-authors
- Luis M. BergasaMiguel Ángel SoteloManuel OcañaDavid Fernández LlorcaI. ParraMiguel Ángel García-GarridoJ. NuevoEnrique Santiso
- Topics
- Advanced Neural Network Applications (6 papers)Autonomous Vehicle Technology and Safety (5 papers)Robotic Path Planning Algorithms (5 papers)
In The Last Decade
Pedro Revenga
30 papers receiving 421 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 247
- Automotive Engineering 97
- Human-Computer Interaction 94
- Electrical and Electronic Engineering 83
- Media Technology 63
Countries citing papers authored by Pedro Revenga
This map shows the geographic impact of Pedro Revenga'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 Pedro Revenga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Revenga more than expected).
Fields of papers citing papers by Pedro Revenga
This network shows the impact of papers produced by Pedro Revenga. 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 Pedro Revenga. The network helps show where Pedro Revenga may publish in the future.
Co-authorship network of co-authors of Pedro Revenga
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Revenga. A scholar is included among the top collaborators of Pedro Revenga 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 Pedro Revenga. Pedro Revenga 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 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 24 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 0 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 131 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | Pedestrian recognition in road sequences | 3 |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 41 |
About Pedro Revenga
Pedro Revenga is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Automotive Engineering, having authored 33 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Autonomous Vehicle Technology and Safety (5 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Human-Computer Interaction (94 citations), Computer Vision and Pattern Recognition (247 citations) and Automotive Engineering (97 citations). Pedro Revenga has collaborated with scholars based in Spain, Cuba and France. Frequent co-authors include Luis M. Bergasa, Miguel Ángel Sotelo, Manuel Ocaña, David Fernández Llorca, I. Parra, Miguel Ángel García-Garrido, J. Nuevo, Enrique Santiso, Manuel Mazo and José Luis Lázaro Galilea. Their work appears in journals such as Energy, Sensors and IEEE Transactions on Intelligent Transportation Systems.
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.