João Ribeiro Pinto

726 total citations
25 papers, 428 citations indexed

About

João Ribeiro Pinto is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, João Ribeiro Pinto has authored 25 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Cognitive Neuroscience. Recurrent topics in João Ribeiro Pinto's work include Biometric Identification and Security (6 papers), Face recognition and analysis (6 papers) and EEG and Brain-Computer Interfaces (6 papers). João Ribeiro Pinto is often cited by papers focused on Biometric Identification and Security (6 papers), Face recognition and analysis (6 papers) and EEG and Brain-Computer Interfaces (6 papers). João Ribeiro Pinto collaborates with scholars based in Portugal, Germany and Algeria. João Ribeiro Pinto's co-authors include Jaime S. Cardoso, André Lourenço, Carlos Carreiras, Ana F. Sequeira, Miguel Velhote Correia, Pedro C. Neto, Naser Damer, Fadi Boutros, Tiago Gonçalves and Hélder P. Oliveira and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

João Ribeiro Pinto

25 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Ribeiro Pinto Portugal 9 199 172 131 111 108 25 428
Amine Naït‐Ali France 12 97 0.5× 151 0.9× 151 1.2× 149 1.3× 125 1.2× 67 480
Kiran Kumar Patro India 14 165 0.8× 144 0.8× 146 1.1× 124 1.1× 55 0.5× 24 502
Allam Jaya Prakash India 15 177 0.9× 162 0.9× 157 1.2× 160 1.4× 43 0.4× 30 633
Efnan Şora Günal Türkiye 8 364 1.8× 234 1.4× 193 1.5× 36 0.3× 66 0.6× 17 593
Yogendra Narain Singh India 15 399 2.0× 362 2.1× 245 1.9× 126 1.1× 200 1.9× 32 662
Bashar Rajoub United Kingdom 8 183 0.9× 42 0.2× 133 1.0× 158 1.4× 130 1.2× 11 377
Po‐Hsiang Lai United States 9 372 1.9× 264 1.5× 296 2.3× 26 0.2× 108 1.0× 18 512
Saeid Rashidi Iran 11 71 0.4× 113 0.7× 76 0.6× 113 1.0× 66 0.6× 58 402
Mehmet Recep Bozkurt Türkiye 14 163 0.8× 145 0.8× 254 1.9× 30 0.3× 44 0.4× 56 531
Zeeshan Ahmad Canada 11 109 0.5× 97 0.6× 112 0.9× 126 1.1× 22 0.2× 17 352

Countries citing papers authored by João Ribeiro Pinto

Since Specialization
Citations

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

Fields of papers citing papers by João Ribeiro Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by João Ribeiro Pinto. 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 João Ribeiro Pinto. The network helps show where João Ribeiro Pinto may publish in the future.

Co-authorship network of co-authors of João Ribeiro Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of João Ribeiro Pinto. A scholar is included among the top collaborators of João Ribeiro Pinto 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 João Ribeiro Pinto. João Ribeiro Pinto 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.
Pinto, João Ribeiro, et al.. (2024). Weather and Meteorological Optical Range Classification for Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 9(10). 6637–6647. 4 indexed citations
2.
Pinto, João Ribeiro, et al.. (2024). Multimodal PointPillars for Efficient Object Detection in Autonomous Vehicles. IEEE Transactions on Intelligent Vehicles. 10(1). 81–91. 3 indexed citations
3.
Pinto, João Ribeiro, et al.. (2023). Intrinsic Explainability for End-to-End Object Detection. IEEE Access. 12. 2623–2634. 4 indexed citations
4.
Neto, Pedro C., João Ribeiro Pinto, Fadi Boutros, et al.. (2022). Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition. IEEE Access. 10. 86222–86233. 18 indexed citations
5.
Pinto, João Ribeiro, et al.. (2022). Electrocardiogram lead conversion from single-lead blindly-segmented signals. BMC Medical Informatics and Decision Making. 22(1). 314–314. 6 indexed citations
6.
Pinto, João Ribeiro, et al.. (2022). Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy. 467–474. 1 indexed citations
7.
Pinto, João Ribeiro, et al.. (2022). Toward Vehicle Occupant-Invariant Models for Activity Characterization. IEEE Access. 10. 104215–104225. 5 indexed citations
8.
Pinto, João Ribeiro, Pedro M. Ferreira, Inês F. Antunes, et al.. (2021). AUTOMOTIVE: A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles. IEEE Access. 9. 153678–153700. 8 indexed citations
9.
Neto, Pedro C., Fadi Boutros, João Ribeiro Pinto, et al.. (2021). FocusFace: Multi-task Contrastive Learning for Masked Face Recognition. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 27 indexed citations
10.
Pinto, João Ribeiro & Jaime S. Cardoso. (2020). Explaining ECG Biometrics: Is It All In The QRS?. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 139–150. 5 indexed citations
11.
Sequeira, Ana F., et al.. (2020). Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated?. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–6. 5 indexed citations
12.
Pinto, João Ribeiro & Jaime S. Cardoso. (2020). Self-Learning with Stochastic Triplet Loss. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 11. 1–8. 3 indexed citations
13.
Pinto, João Ribeiro, Tiago Gonçalves, Rita Canas‐Marques, et al.. (2020). Weakly-Supervised Classification of HER2 Expression in Breast Cancer Haematoxylin and Eosin Stained Slides. Applied Sciences. 10(14). 4728–4728. 25 indexed citations
14.
Pinto, João Ribeiro, Miguel Velhote Correia, & Jaime S. Cardoso. (2020). Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics. IEEE Transactions on Biometrics Behavior and Identity Science. 3(2). 180–189. 18 indexed citations
15.
Pinto, João Ribeiro & Jaime S. Cardoso. (2019). An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–8. 20 indexed citations
16.
Pinto, João Ribeiro, Jaime S. Cardoso, & André Lourenço. (2018). Evolution, Current Challenges, and Future Possibilities in ECG Biometrics. IEEE Access. 6. 34746–34776. 140 indexed citations
17.
Pinto, João Ribeiro, et al.. (2018). A Uniform Performance Index for Ordinal Classification with Imbalanced Classes. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–8. 4 indexed citations
18.
Pinto, João Ribeiro, Jaime S. Cardoso, André Lourenço, & Carlos Carreiras. (2017). Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel. Sensors. 17(10). 2228–2228. 96 indexed citations
19.
Pinto, João Ribeiro & João Manuel R. S. Tavares. (2017). A versatile method for bladder segmentation in computed tomography two-dimensional images under adverse conditions. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 231(9). 871–880. 5 indexed citations
20.
Neto, Rui, et al.. (2017). Effect of the chemical milling process on the surface of titanium aluminide castings. 29(1). e40–e45. 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

Breakdown of academic impact, for papers by Amine Naït‐Ali Breakdown of academic impact, for papers by Kiran Kumar Patro Breakdown of academic impact, for papers by Allam Jaya Prakash Breakdown of academic impact, for papers by Efnan Şora Günal Breakdown of academic impact, for papers by Yogendra Narain Singh Breakdown of academic impact, for papers by Bashar Rajoub Breakdown of academic impact, for papers by Po‐Hsiang Lai Breakdown of academic impact, for papers by Saeid Rashidi Breakdown of academic impact, for papers by Mehmet Recep Bozkurt Breakdown of academic impact, for papers by Zeeshan Ahmad
Rankless by CCL
2026