Javier Romero
- Computer Vision and Pattern Recognition top 0.5%
- Computational Mechanics top 1%
- Human-Computer Interaction top 0.2%
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Co-authors
- Michael J. BlackJulieta MartínezJames J. LittleDimitrios TzionasTimo BolkartHao LiTianye LiDanica Kragić
- Topics
- Human Pose and Action Recognition (11 papers)Logic, Reasoning, and Knowledge (10 papers)Multi-Agent Systems and Negotiation (8 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Javier Romero
40 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 2.3k
- Computational Mechanics 769
- Human-Computer Interaction 752
- Control and Systems Engineering 692
- Biomedical Engineering 315
Countries citing papers authored by Javier Romero
This map shows the geographic impact of Javier Romero'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 Javier Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Romero more than expected).
Fields of papers citing papers by Javier Romero
This network shows the impact of papers produced by Javier Romero. 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 Javier Romero. The network helps show where Javier Romero may publish in the future.
Co-authorship network of co-authors of Javier Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Romero. A scholar is included among the top collaborators of Javier Romero 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 Javier Romero. Javier Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | Multi-Shot Stream Reasoning in Answer Set Programming: A Preliminary Report. | 0 |
| 11 | 6 | |
| 12 | Learning Human Optical Flow | 9 |
| 13 | Preference Relations by Approximation. | 0 |
| 14 | 51 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 22 | |
| 18 | 69 | |
| 19 | 11 | |
| 20 | 7 |
About Javier Romero
Javier Romero is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Logic, Reasoning, and Knowledge (10 papers) and Multi-Agent Systems and Negotiation (8 papers). The work is most often cited by research in Human-Computer Interaction (752 citations), Computer Vision and Pattern Recognition (2.3k citations) and Computer Graphics and Computer-Aided Design (202 citations). Javier Romero has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Michael J. Black, Julieta Martínez, James J. Little, Dimitrios Tzionas, Timo Bolkart, Hao Li, Tianye Li, Danica Kragić, Federica Bogo and Christoph Lassner. Their work appears in journals such as PLoS ONE, NeuroImage and ACM Transactions on Graphics.
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.