Javier Romero

7.4k citations
44 papers · 2.9k indexed · 4 hit papers · h-index 15

Javier Romero

40 papers receiving 2.8k citations

Hit Papers

A Simple Yet Effective Baseline for 3d Human Pose Estimation8022017202620202023250500750

Peers

Javier Romero
Comparison fields: 5 of 115
  • Human-Computer Interaction 752
  • Computer Vision and Pattern Recognition 2.3k
  • Computer Graphics and Computer-Aided Design 202
  • Computational Mechanics 769
  • Control and Systems Engineering 692
Replace Dan Casas with:
Dan Casas Spain
Weipeng Xu Germany
Dushyant Mehta Germany
Naureen Mahmood Germany
Matthew Loper Germany
Oleksandr Sotnychenko Germany
Vlad Olaru Romania
Ronan Boulic Switzerland
Leonid Pishchulin Germany
Hanbyul Joo South Korea
Javier Romero relative to Dan Casas Spain Dan Casas's profile →
Citations per field
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Dan Casas · 1×
Citations per year

Countries citing papers authored by Javier Romero

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Javier Romero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Javier Romero Line = papers co-authored together Javier Romero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20250
4 20240
5 20231
6 20234
7 20214
8 20205
9 20197
10
Multi-Shot Stream Reasoning in Answer Set Programming: A Preliminary Report.
20190
11 20186
12
Learning Human Optical Flow
20189
13
Preference Relations by Approximation.
20180
14 201851
15 201612
16 20145
17 201322
18 201069
19 200811
20 20067

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), Multi-Agent Systems and Negotiation (8 papers), Hand Gesture Recognition Systems (6 papers), Logic, programming, and type systems (5 papers), Robot Manipulation and Learning (4 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Vision and Imaging (4 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.

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