Daniel Ponsa

1.8k total citations · 1 hit paper
32 papers, 976 citations indexed

About

Daniel Ponsa is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Daniel Ponsa has authored 32 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Daniel Ponsa's work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Advanced Neural Network Applications (10 papers). Daniel Ponsa is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (14 papers) and Advanced Neural Network Applications (10 papers). Daniel Ponsa collaborates with scholars based in Spain, Egypt and United States. Daniel Ponsa's co-authors include Edgar Riba, Krystian Mikolajczyk, Antonio M. López, Vassileios Balntas, David Gerónimo, David Vázquez, Joan Serrat, Javier Marín, Ángel D. Sappa and Felipe Lumbreras and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Daniel Ponsa

30 papers receiving 941 citations

Hit Papers

Learning local feature descriptors with triplets and shal... 2016 2026 2019 2022 2016 100 200 300
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning local feature descriptors with triplets and shallow convolutional neural networks
    2016 321 citations Edgar Riba, Daniel Ponsa et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Ponsa Spain 13 809 321 197 114 72 32 976
Xingyu Zeng Hong Kong 14 1.1k 1.4× 247 0.8× 287 1.5× 117 1.0× 113 1.6× 18 1.3k
Heinz Hertlein United Kingdom 3 553 0.7× 185 0.6× 221 1.1× 191 1.7× 77 1.1× 5 875
Mingyu Ding China 15 682 0.8× 236 0.7× 280 1.4× 45 0.4× 54 0.8× 38 902
Danda Pani Paudel Switzerland 16 742 0.9× 289 0.9× 190 1.0× 34 0.3× 49 0.7× 62 917
François Rameau South Korea 13 555 0.7× 142 0.4× 245 1.2× 40 0.4× 104 1.4× 29 743
Erik Bochinski Germany 8 638 0.8× 143 0.4× 170 0.9× 91 0.8× 33 0.5× 15 774
Yuning Chai United States 11 660 0.8× 129 0.4× 231 1.2× 298 2.6× 67 0.9× 16 979
David Duggins United States 6 874 1.1× 161 0.5× 187 0.9× 80 0.7× 30 0.4× 9 1.0k
Fatma Güney Türkiye 7 421 0.5× 94 0.3× 128 0.6× 125 1.1× 77 1.1× 16 634
Vijay Badrinarayanan United Kingdom 13 666 0.8× 146 0.5× 189 1.0× 68 0.6× 31 0.4× 17 888

Countries citing papers authored by Daniel Ponsa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ponsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ponsa

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

All Works

20 of 20 papers shown
1.
Benavente, Robert, et al.. (2025). HyDA-Net: A Hybrid Dense Attention Network for Remote Sensing Multi-Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7592–7614. 2 indexed citations
2.
3.
Benavente, Robert, et al.. (2022). 3DRRDB: Super Resolution of Multiple Remote Sensing Images using 3D Residual in Residual Dense Blocks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 322–331. 12 indexed citations
4.
Riba, Edgar, et al.. (2019). Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters. 5835–5843. 157 indexed citations
5.
Gerónimo, David, Ángel D. Sappa, Antonio M. López, & Daniel Ponsa. (2019). Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection. PUB – Publications at Bielefeld University (Bielefeld University). 9 indexed citations
6.
Xu, Jiaolong, David Vázquez, Antonio M. López, Javier Marín, & Daniel Ponsa. (2014). Learning a Part-Based Pedestrian Detector in a Virtual World. IEEE Transactions on Intelligent Transportation Systems. 15(5). 2121–2131. 33 indexed citations
7.
Vázquez, David, Jiaolong Xu, Sebastian Ramos, Antonio M. López, & Daniel Ponsa. (2013). Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes. 706–711. 4 indexed citations
8.
Xu, Jiaolong, David Vázquez, Sebastian Ramos, Antonio M. López, & Daniel Ponsa. (2013). Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. 688–693. 12 indexed citations
9.
Vázquez, David, Antonio M. López, Javier Marín, Daniel Ponsa, & David Gerónimo. (2013). Virtual and Real World Adaptation for Pedestrian Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(4). 797–809. 107 indexed citations
10.
Ros, Germán, Julio Guerrero, Ángel D. Sappa, Daniel Ponsa, & Antonio M. López. (2013). VSLAM pose initialization via Lie groups and Lie algebras optimization. 5740–5747. 3 indexed citations
11.
Ros, Germán, Ángel D. Sappa, Daniel Ponsa, Antonio M. López, & Julio Guerrero. (2013). Fast and Robust $ell_1$-averaging-based Pose Estimation for Driving Scenarios. 86.1–86.11. 1 indexed citations
12.
Vázquez, David, Antonio M. López, & Daniel Ponsa. (2012). Unsupervised domain adaptation of virtual and real worlds for pedestrian detection. 3492–3495. 23 indexed citations
13.
Rubio, José C., Joan Serrat, Antonio M. López, & Daniel Ponsa. (2011). Multiple-Target Tracking for Intelligent Headlights Control. IEEE Transactions on Intelligent Transportation Systems. 13(2). 594–605. 30 indexed citations
14.
Diego, Ferran, Daniel Ponsa, Joan Serrat, & Antonio M. López. (2010). Video Alignment for Change Detection. IEEE Transactions on Image Processing. 20(7). 1858–1869. 29 indexed citations
15.
Gerónimo, David, Ángel D. Sappa, Daniel Ponsa, & Antonio M. López. (2010). 2D–3D-based on-board pedestrian detection system. Computer Vision and Image Understanding. 114(5). 583–595. 47 indexed citations
16.
Rubio, José C., Joan Serrat, Antonio M. López, & Daniel Ponsa. (2010). Multiple target tracking for intelligent headlights control. 903–910. 7 indexed citations
17.
Ponsa, Daniel, Joan Serrat, & Antonio M. López. (2009). On-board image-based vehicle detection and tracking. Transactions of the Institute of Measurement and Control. 33(7). 783–805. 15 indexed citations
18.
Ponsa, Daniel & Antonio M. López. (2009). Variance reduction techniques in particle-based visual contour tracking. Pattern Recognition. 42(11). 2372–2391. 7 indexed citations
19.
Diego, Ferran, Daniel Ponsa, Joan Serrat, & Antonio M. López. (2008). Video alignment for difference-spotting. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
20.
Ponsa, Daniel, Antonio M. López, Felipe Lumbreras, Joan Serrat, & T. Graf. (2005). 3D vehicle sensor based on monocular vision. 1096–1101. 47 indexed citations

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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