Rui Caseiro

9.1k total citations · 1 hit paper
20 papers, 4.3k citations indexed

About

Rui Caseiro is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Rui Caseiro has authored 20 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Rui Caseiro's work include Video Surveillance and Tracking Methods (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Face recognition and analysis (6 papers). Rui Caseiro is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Face recognition and analysis (6 papers). Rui Caseiro collaborates with scholars based in Portugal, Sweden and Romania. Rui Caseiro's co-authors include Jorge Batista, João F. Henriques, Pedro Martins, João Carreira, Cristian Sminchisescu, F. Silva Leite, João P. Barreto, Hélder Araújo and João Henriques and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Robotics.

In The Last Decade

Rui Caseiro

20 papers receiving 4.2k citations

Hit Papers

High-Speed Tracking with Kernelized Correlation Filters 2014 2026 2018 2022 2014 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Caseiro Portugal 11 4.0k 1.3k 762 545 386 20 4.3k
Pedro Martins Portugal 12 3.8k 1.0× 1.3k 1.0× 746 1.0× 552 1.0× 339 0.9× 50 4.3k
João F. Henriques United Kingdom 16 4.1k 1.0× 1.4k 1.1× 767 1.0× 569 1.0× 526 1.4× 30 4.6k
Jorge Batista Portugal 20 4.6k 1.2× 1.5k 1.1× 784 1.0× 605 1.1× 466 1.2× 92 5.2k
Chao Ma China 30 5.1k 1.3× 1.3k 1.0× 893 1.2× 510 0.9× 585 1.5× 116 5.9k
Yui Man Lui United States 19 3.0k 0.7× 756 0.6× 482 0.6× 328 0.6× 397 1.0× 38 3.3k
Zheng Zhu China 21 3.2k 0.8× 769 0.6× 489 0.6× 296 0.5× 522 1.4× 80 3.7k
Yi Wu China 23 7.1k 1.8× 1.9k 1.4× 1.2k 1.5× 786 1.4× 609 1.6× 57 7.6k
Heng Fan United States 19 2.7k 0.7× 875 0.7× 454 0.6× 214 0.4× 350 0.9× 67 3.1k
G Hager Sweden 7 3.5k 0.9× 1.2k 0.9× 847 1.1× 458 0.8× 263 0.7× 18 3.7k

Countries citing papers authored by Rui Caseiro

Since Specialization
Citations

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

Fields of papers citing papers by Rui Caseiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Caseiro

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Caseiro. A scholar is included among the top collaborators of Rui Caseiro 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 Rui Caseiro. Rui Caseiro 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.
Martins, Pedro, et al.. (2015). Bayesian Constrained Local Models Revisited. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(4). 704–716. 6 indexed citations
2.
Caseiro, Rui, João F. Henriques, Pedro Martins, & Jorge Batista. (2015). Beyond the shortest path: Unsupervised domain adaptation by Sampling Subspaces along the Spline Flow. 3846–3854. 29 indexed citations
3.
Martins, Pedro, Rui Caseiro, João F. Henriques, & Jorge Batista. (2014). Likelihood-enhanced Bayesian constrained local models. 303–307. 3 indexed citations
4.
Henriques, João F., Rui Caseiro, Pedro Martins, & Jorge Batista. (2014). High-Speed Tracking with Kernelized Correlation Filters. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(3). 583–596. 3950 indexed citations breakdown →
5.
Carreira, João, Rui Caseiro, Jorge Batista, & Cristian Sminchisescu. (2014). Free-Form Region Description with Second-Order Pooling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(6). 1177–1189. 48 indexed citations
6.
Martins, Pedro, Rui Caseiro, & Jorge Batista. (2014). Non-parametric Bayesian Constrained Local Models. 1797–1804. 8 indexed citations
7.
Henriques, João F., Pedro Martins, Rui Caseiro, & Jorge Batista. (2014). Fast Training of Pose Detectors in the Fourier Domain. 27. 3050–3058. 11 indexed citations
8.
Caseiro, Rui, Pedro Martins, João F. Henriques, F. Silva Leite, & Jorge Batista. (2013). Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem. 41–48. 21 indexed citations
9.
Henriques, João F., João Carreira, Rui Caseiro, & Jorge Batista. (2013). Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition. 74 indexed citations
10.
Caseiro, Rui, Pedro Martins, João F. Henriques, & Jorge Batista. (2012). A nonparametric Riemannian framework on tensor field with application to foreground segmentation. Pattern Recognition. 45(11). 3997–4017. 22 indexed citations
11.
Martins, Pedro, Rui Caseiro, João Henriques, & Jorge Batista. (2012). Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors. 130.1–130.12. 3 indexed citations
12.
Martins, Pedro, Rui Caseiro, & Jorge Batista. (2012). Generative face alignment through 2.5D active appearance models. Computer Vision and Image Understanding. 117(3). 250–268. 17 indexed citations
13.
Caseiro, Rui, João F. Henriques, Pedro Martins, & Jorge Batista. (2011). A nonparametric Riemannian framework on tensor field with application to foreground segmentation. 66. 1–8. 18 indexed citations
14.
Henriques, João F., Rui Caseiro, & Jorge Batista. (2011). Globally optimal solution to multi-object tracking with merged measurements. 2470–2477. 90 indexed citations
15.
Caseiro, Rui, Jorge Batista, & Pedro Martins. (2010). Background Modelling on Tensor Field for Foreground Segmentation. 96.1–96.12. 3 indexed citations
16.
Caseiro, Rui, João F. Henriques, & Jorge Batista. (2010). Foreground Segmentation via Background Modeling on Riemannian Manifolds. 3570–3574. 6 indexed citations
17.
Barreto, João P., et al.. (2010). Active Stereo Tracking of $N\le 3$ Targets Using Line Scan Cameras. IEEE Transactions on Robotics. 26(3). 442–457. 14 indexed citations
18.
Martins, Pedro, Jorge Batista, & Rui Caseiro. (2010). Face Alignment Through 2.5D Active Appearance Models. 99.1–99.12. 4 indexed citations
19.
Caseiro, Rui, João F. Henriques, & Jorge Batista. (2010). Using directional statistics to learn cast shadows from a multi-spectral light sources physical model. 3445–3448. 2 indexed citations
20.
Barreto, João P., et al.. (2009). Active stereo tracking of multiple free-moving targets. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 17. 1494–1501. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026