David Vázquez

106 total papers · 7.9k total citations
42 papers, 4.5k citations indexed

About

David Vázquez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, David Vázquez has authored 42 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in David Vázquez's work include Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (21 papers) and Domain Adaptation and Few-Shot Learning (12 papers). David Vázquez is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (21 papers) and Domain Adaptation and Few-Shot Learning (12 papers). David Vázquez collaborates with scholars based in Spain, Canada and Germany. David Vázquez's co-authors include Antonio M. López, Michal Drozdzal, Adriana Romero, Germán Ros, Joanna Materzyńska, Yoshua Bengio, Simon Jégou, Javier Marín, Jiaolong Xu and Aaron Courville and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Sensors.

In The Last Decade

David Vázquez

41 papers receiving 4.4k citations

Hit Papers

The SYNTHIA Dataset: A La... 2016 2026 2019 2022 2016 2017 2017 2021 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
David Vázquez 3.1k 1.4k 652 571 432 42 4.5k
Xiang Li 4.0k 1.3× 1.3k 0.9× 484 0.7× 1.3k 2.4× 614 1.4× 72 5.9k
Enze Xie 4.7k 1.5× 1.6k 1.1× 516 0.8× 1.5k 2.7× 575 1.3× 32 6.5k
Ding Liang 3.6k 1.2× 1.4k 1.0× 493 0.8× 953 1.7× 492 1.1× 39 5.4k
Dan Cireşan 3.9k 1.3× 2.9k 2.0× 1.0k 1.6× 919 1.6× 374 0.9× 19 7.8k
Yongjun Bao 3.6k 1.2× 1.4k 1.0× 583 0.9× 1.1k 1.9× 403 0.9× 56 6.0k
Zhuang Liu 4.4k 1.4× 2.7k 1.8× 686 1.1× 738 1.3× 529 1.2× 27 7.3k
Jun Fu 3.7k 1.2× 1.4k 0.9× 606 0.9× 1.1k 2.0× 328 0.8× 18 5.4k
Priya Goyal 3.2k 1.0× 1.6k 1.1× 662 1.0× 669 1.2× 736 1.7× 9 6.2k
Tsung-Yi Lin 5.1k 1.6× 3.0k 2.1× 892 1.4× 855 1.5× 1.2k 2.7× 39 9.9k
Wenhai Wang 5.5k 1.8× 2.1k 1.4× 793 1.2× 1.5k 2.7× 845 2.0× 34 8.3k

Countries citing papers authored by David Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by David Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of David Vázquez. A scholar is included among the top collaborators of David Vázquez 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 David Vázquez. David Vázquez 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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