J. Javier Yebes
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Automotive Engineering top 5%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Luis M. BergasaJavier AlmazánRoberto ArroyoPablo F. AlcantarillaIván García DazaIván GarcíaMiguel Ángel García-GarridoRafael Barea
- Topics
- Advanced Image and Video Retrieval Techniques (7 papers)Video Surveillance and Tracking Methods (6 papers)Autonomous Vehicle Technology and Safety (6 papers)
- Journals
- Expert Systems with ApplicationsSensorsIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- SpainJapanUnited Kingdom
In The Last Decade
J. Javier Yebes
21 papers receiving 914 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 514
- Aerospace Engineering 220
- Automotive Engineering 210
- Experimental and Cognitive Psychology 147
- Cognitive Neuroscience 135
Countries citing papers authored by J. Javier Yebes
This map shows the geographic impact of J. Javier Yebes'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 J. Javier Yebes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Javier Yebes more than expected).
Fields of papers citing papers by J. Javier Yebes
This network shows the impact of papers produced by J. Javier Yebes. 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 J. Javier Yebes. The network helps show where J. Javier Yebes may publish in the future.
Co-authorship network of co-authors of J. Javier Yebes
This figure shows the co-authorship network connecting the top 25 collaborators of J. Javier Yebes. A scholar is included among the top collaborators of J. Javier Yebes 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 J. Javier Yebes. J. Javier Yebes 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 | 7 | |
| 3 | 105 | |
| 4 | 26 | |
| 5 | 11 | |
| 6 | 140 | |
| 7 | 40 | |
| 8 | 34 | |
| 9 | 63 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 22 | |
| 13 | 74 | |
| 14 | 125 | |
| 15 | 130 | |
| 16 | 16 | |
| 17 | 74 | |
| 18 | 50 | |
| 19 | 4 | |
| 20 | 7 |
About J. Javier Yebes
J. Javier Yebes is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology, having authored 21 papers that have together received 973 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers) and Autonomous Vehicle Technology and Safety (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (514 citations), Human-Computer Interaction (117 citations) and Automotive Engineering (210 citations). J. Javier Yebes has collaborated with scholars based in Spain, Japan and United Kingdom. Frequent co-authors include Luis M. Bergasa, Javier Almazán, Roberto Arroyo, Pablo F. Alcantarilla, Iván García Daza, Iván García, Miguel Ángel García-Garrido, Rafael Barea, Miguel Ángel Sotelo and R. Quintero. Their work appears in journals such as Expert Systems with Applications, 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.