Jorge Batista

11.2k total citations · 1 hit paper
92 papers, 5.2k citations indexed

About

Jorge Batista is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Jorge Batista has authored 92 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 18 papers in Aerospace Engineering. Recurrent topics in Jorge Batista's work include Advanced Vision and Imaging (34 papers), Video Surveillance and Tracking Methods (24 papers) and Robotics and Sensor-Based Localization (17 papers). Jorge Batista is often cited by papers focused on Advanced Vision and Imaging (34 papers), Video Surveillance and Tracking Methods (24 papers) and Robotics and Sensor-Based Localization (17 papers). Jorge Batista collaborates with scholars based in Portugal, United States and United Kingdom. Jorge Batista's co-authors include Rui Caseiro, João F. Henriques, Pedro Martins, João Carreira, Hélder Araújo, Paulo Peixoto, Urbano Nunes, Cristiano Premebida, Sara Vicente and Lourdes Agapito and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Jorge Batista

85 papers receiving 5.0k citations

Hit Papers

High-Speed Tracking with Kernelized Correlation Filters 2014 2026 2018 2022 2014 1000 2.0k 3.0k
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 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. High-Speed Tracking with Kernelized Correlation Filters
    2014 4.0k citations João F. Henriques, Rui Caseiro et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Batista Portugal 20 4.6k 1.5k 784 605 466 92 5.2k
Rui Caseiro Portugal 11 4.0k 0.9× 1.3k 0.9× 762 1.0× 545 0.9× 386 0.8× 20 4.3k
Pedro Martins Portugal 12 3.8k 0.8× 1.3k 0.9× 746 1.0× 552 0.9× 339 0.7× 50 4.3k
João F. Henriques United Kingdom 16 4.1k 0.9× 1.4k 0.9× 767 1.0× 569 0.9× 526 1.1× 30 4.6k
Chao Ma China 30 5.1k 1.1× 1.3k 0.9× 893 1.1× 510 0.8× 585 1.3× 116 5.9k
J. Ross Beveridge United States 29 4.2k 0.9× 1.0k 0.7× 493 0.6× 459 0.8× 520 1.1× 114 5.0k
Yi Wu China 23 7.1k 1.6× 1.9k 1.3× 1.2k 1.5× 786 1.3× 609 1.3× 57 7.6k
Zheng Zhu China 21 3.2k 0.7× 769 0.5× 489 0.6× 296 0.5× 522 1.1× 80 3.7k
Michael Felsberg Sweden 28 8.0k 1.8× 2.8k 1.9× 1.6k 2.1× 864 1.4× 598 1.3× 139 9.0k

Countries citing papers authored by Jorge Batista

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Batista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Batista

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Batista. A scholar is included among the top collaborators of Jorge Batista 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 Jorge Batista. Jorge Batista 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
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Silva, Bruno, et al.. (2023). Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification. 4690–4696. 9 indexed citations
3.
Sorrentino, Alessandra, et al.. (2023). Improving ASTRO's Perception Capability for a more Natural Follow-Me Task. 79–84. 1 indexed citations
4.
Saltonstall, Kristin, et al.. (2021). Land use influences stream bacterial communities in lowland tropical watersheds. Scientific Reports. 11(1). 21752–21752. 20 indexed citations
5.
Ferreira, Pedro M., et al.. (2021). Deep learning approaches for workout repetition counting and validation. Pattern Recognition Letters. 151. 259–266. 16 indexed citations
6.
Silva, Bruno, et al.. (2021). Multi-View and Multi-Scale Fine-Grained Vehicle Classification with Channel Convolution Feature Fusion. 32. 3018–3025. 3 indexed citations
7.
Martins, Pedro, et al.. (2016). FACIAL EXPRESSION RECOGNITION USING ACTIVE APPEARANCE MODELS. 123–129. 3 indexed citations
8.
Krakowski, Krzysztof, et al.. (2016). A modified Casteljau algorithm to solve interpolation problems on Stiefel manifolds. Journal of Computational and Applied Mathematics. 311. 84–99. 12 indexed citations
9.
Wildish, T., A. Barczyk, Jorge Batista, et al.. (2016). ANSE Update on the Use of Dynamic Circuits in PhEDEx. CERN Document Server (European Organization for Nuclear Research). 18–18.
10.
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
11.
Vicente, Sara, João Carreira, Lourdes Agapito, & Jorge Batista. (2014). Reconstructing PASCAL VOC. 41–48. 115 indexed citations
12.
Martins, Pedro, Rui Caseiro, João F. Henriques, & Jorge Batista. (2014). Likelihood-enhanced Bayesian constrained local models. 303–307. 3 indexed citations
13.
Batista, Jorge, et al.. (2013). Stereoscopic Depth Perception Using a Model Based on the Primary Visual Cortex. PLoS ONE. 8(12). e80745–e80745. 9 indexed citations
14.
Caseiro, Rui, Jorge Batista, & Pedro Martins. (2010). Background Modelling on Tensor Field for Foreground Segmentation. 96.1–96.12. 3 indexed citations
15.
Batista, Jorge, et al.. (2009). A kernel particle filter multi-object tracking using gabor-based region covariance matrices. 18. 4085–4088. 3 indexed citations
16.
Martins, Pedro & Jorge Batista. (2008). Accurate single view model-based head pose estimation. 1–6. 23 indexed citations
17.
Peixoto, Paulo, et al.. (2008). ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES. 551–558. 2 indexed citations
18.
Batista, Jorge, Paulo Peixoto, & Hélder Araújo. (2002). Real-time vergence and binocular gaze control. 3. 1348–1354. 4 indexed citations
19.
Peixoto, Paulo, Jorge Batista, & Hélder Araújo. (2002). A surveillance system combining peripheral and foveated motion tracking. 1. 574–577. 7 indexed citations
20.
Almeida, Anı́bal T. de, Urbano Nunes, Jorge Dias, Hélder Araújo, & Jorge Batista. (1990). A distributed system for robotic multi-sensor integration. 1(3). 217–229. 7 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

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