Raquel Urtasun

418 total papers · 50.1k total citations
190 papers, 21.0k citations indexed

About

Raquel Urtasun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Raquel Urtasun has authored 190 papers receiving a total of 21.0k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 36 papers in Aerospace Engineering. Recurrent topics in Raquel Urtasun's work include Advanced Neural Network Applications (48 papers), Advanced Image and Video Retrieval Techniques (44 papers) and Advanced Vision and Imaging (37 papers). Raquel Urtasun is often cited by papers focused on Advanced Neural Network Applications (48 papers), Advanced Image and Video Retrieval Techniques (44 papers) and Advanced Vision and Imaging (37 papers). Raquel Urtasun collaborates with scholars based in Canada, United States and Switzerland. Raquel Urtasun's co-authors include Andreas Geiger, Christoph Stiller, Philip Lenz, Sanja Fidler, Wenjie Luo, Alexander G. Schwing, Pascal Fua, Kaustav Kundu, Trevor Darrell and Renjie Liao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Raquel Urtasun

188 papers receiving 20.1k citations

Hit Papers

Vision meets robotics: Th... 2013 2026 2017 2021 2013 2014 2016 2019 2017 1000 2.0k 3.0k 4.0k 5.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Vision meets robotics: The KITTI dataset
    2013 5.7k citations Andreas Geiger, Philip Lenz et al. The International Journal of Robotics Research profile →
  2. The Role of Context for Object Detection and Semantic Segmentation in the Wild
    2014 818 citations Roozbeh Mottaghi, Xianjie Chen et al. profile →
  3. Monocular 3D Object Detection for Autonomous Driving
    2016 633 citations Xiaozhi Chen, Kaustav Kundu et al. profile →
  4. Multi-Task Multi-Sensor Fusion for 3D Object Detection
    2019 483 citations Ming Liang, Bin Yang et al. profile →
  5. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
    2017 477 citations Wenjie Luo, Yujia Li et al. arXiv (Cornell University) profile →
  6. Efficient Deep Learning for Stereo Matching
    2016 470 citations Wenjie Luo, Alexander G. Schwing et al. profile →
  7. MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
    2018 435 citations Marvin Teichmann, Michael Weber et al. profile →
  8. 3D object proposals for accurate object class detection
    2015 426 citations Xiaozhi Chen, Kaustav Kundu et al. Neural Information Processing Systems profile →
  9. Skip-Thought Vectors
    2015 414 citations Ryan Kiros, Yukun Zhu et al. arXiv (Cornell University) profile →
  10. DeepRoadMapper: Extracting Road Topology from Aerial Images
    2017 378 citations Gellért Máttyus, Wenjie Luo et al. profile →
  11. 3D Graph Neural Networks for RGBD Semantic Segmentation
    2017 311 citations Xiaojuan Qi, Renjie Liao et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  12. Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
    2014 289 citations Xianjie Chen, Roozbeh Mottaghi et al. profile →
  13. 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection
    2017 283 citations Xiaozhi Chen, Kaustav Kundu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raquel Urtasun 15.8k 5.0k 4.5k 3.0k 2.3k 190 21.0k
Andreas Geiger 20.0k 1.3× 9.2k 1.8× 2.8k 0.6× 3.7k 1.2× 3.1k 1.4× 136 26.1k
Martial Hebert 17.0k 1.1× 7.4k 1.5× 4.4k 1.0× 1.2k 0.4× 2.4k 1.0× 381 23.0k
Hongsheng Li 13.7k 0.9× 3.1k 0.6× 3.9k 0.9× 1.2k 0.4× 1.4k 0.6× 296 18.2k
Philip H. S. Torr 17.0k 1.1× 3.5k 0.7× 3.9k 0.9× 843 0.3× 981 0.4× 182 21.6k
Christoph Stiller 8.4k 0.5× 4.6k 0.9× 1.4k 0.3× 4.8k 1.6× 1.8k 0.8× 257 14.4k
Bernt Schiele 31.8k 2.0× 3.6k 0.7× 12.1k 2.7× 2.6k 0.8× 972 0.4× 349 38.9k
Silvio Savarese 9.5k 0.6× 3.0k 0.6× 3.5k 0.8× 1.9k 0.6× 1.5k 0.6× 195 14.7k
Roberto Cipolla 13.5k 0.9× 4.0k 0.8× 2.5k 0.6× 596 0.2× 735 0.3× 323 17.0k
Ian Reid 15.9k 1.0× 9.2k 1.8× 3.0k 0.7× 448 0.1× 1.1k 0.5× 259 20.2k
Deva Ramanan 17.7k 1.1× 2.3k 0.5× 4.3k 0.9× 1.4k 0.5× 484 0.2× 151 20.5k

Countries citing papers authored by Raquel Urtasun

Since Specialization
Citations

This map shows the geographic impact of Raquel Urtasun'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 Raquel Urtasun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Urtasun more than expected).

Fields of papers citing papers by Raquel Urtasun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel Urtasun. 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 Raquel Urtasun. The network helps show where Raquel Urtasun may publish in the future.

Co-authorship network of co-authors of Raquel Urtasun

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Urtasun. A scholar is included among the top collaborators of Raquel Urtasun 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 Raquel Urtasun. Raquel Urtasun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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