Hélder Araújo

3.2k total citations · 1 hit paper
129 papers, 1.9k citations indexed

About

Hélder Araújo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Hélder Araújo has authored 129 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Computer Vision and Pattern Recognition, 50 papers in Aerospace Engineering and 22 papers in Media Technology. Recurrent topics in Hélder Araújo's work include Advanced Vision and Imaging (68 papers), Robotics and Sensor-Based Localization (48 papers) and Optical measurement and interference techniques (45 papers). Hélder Araújo is often cited by papers focused on Advanced Vision and Imaging (68 papers), Robotics and Sensor-Based Localization (48 papers) and Optical measurement and interference techniques (45 papers). Hélder Araújo collaborates with scholars based in Portugal, United States and Germany. Hélder Araújo's co-authors include João P. Barreto, Jorge Batista, Pedro Henriques Abreu, Miriam Seoane Santos, João Santos, J. Soares, Jónatas Valença, Eduardo Júlio, Mehmet Turan and Pedro Miraldo and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Hélder Araújo

120 papers receiving 1.9k citations

Hit Papers

Cross-Validation for Imbalanced Datasets: Avoiding Overop... 2018 2026 2020 2023 2018 50 100 150 200 250
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. Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]
    2018 277 citations Miriam Seoane Santos, Pedro Henriques Abreu et al. profile →

Peers

Hélder Araújo
Liang Zhang China
Hideyuki Tamura Japan
Olli Sílven Finland
Joo‐Hwee Lim Singapore
Naoufel Werghi United Arab Emirates
Xenophon Zabulis Greece
Caner Hazırbaş Germany
Peize Sun Hong Kong
Jonathan Roberts Australia
Liang Zhang China
Hélder Araújo
Citations per year, relative to Hélder Araújo Hélder Araújo (= 1×) peers Liang Zhang

Countries citing papers authored by Hélder Araújo

Since Specialization
Citations

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

Fields of papers citing papers by Hélder Araújo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélder Araújo

This figure shows the co-authorship network connecting the top 25 collaborators of Hélder Araújo. A scholar is included among the top collaborators of Hélder Araújo 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 Hélder Araújo. Hélder Araújo 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.
Salazar, Teresa, João Gama, Hélder Araújo, & Pedro Henriques Abreu. (2025). Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning. IEEE Transactions on Neural Networks and Learning Systems. 37(1). 161–175. 2 indexed citations
2.
Araújo, Hélder, et al.. (2024). SRFDet3D: Sparse Region Fusion based 3D Object Detection. Neurocomputing. 593. 127814–127814. 3 indexed citations
3.
Araújo, Hélder, et al.. (2024). RetFormer: Embracing Point Cloud Transformer With Retentive Network. IEEE Transactions on Intelligent Vehicles. 1–12.
4.
Araújo, Hélder, et al.. (2024). RetSeg3D: Retention-based 3D semantic segmentation for autonomous driving. Computer Vision and Image Understanding. 250. 104231–104231.
5.
Horovistiz, Ana, et al.. (2023). Computer vision-based solutions to overcome the limitations of wireless capsule endoscopy. Journal of Medical Engineering & Technology. 47(4). 242–261. 2 indexed citations
6.
Araújo, Hélder, et al.. (2022). An Experimental Assessment of Depth Estimation in Transparent and Translucent Scenes for Intel RealSense D415, SR305 and L515. Sensors. 22(19). 7378–7378. 9 indexed citations
7.
Ozyoruk, Kutsev Bengisu, Taylor L. Bobrow, Yasin Almalıoğlu, et al.. (2021). EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. Medical Image Analysis. 71. 102058–102058. 118 indexed citations
8.
Araújo, Hélder, et al.. (2021). Registration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimation. IEEE Access. 9. 119533–119545. 8 indexed citations
9.
Salazar, Teresa, Miriam Seoane Santos, Hélder Araújo, & Pedro Henriques Abreu. (2021). FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive Attributes. IEEE Access. 9. 81370–81379. 12 indexed citations
10.
Araújo, Hélder, et al.. (2021). Intel RealSense SR305, D415 and L515: Experimental Evaluation and Comparison of Depth Estimation. 362–369. 24 indexed citations
11.
Turan, Mehmet, Yasin Almalıoğlu, Hunter B. Gilbert, et al.. (2019). Learning to Navigate Endoscopic Capsule Robots. IEEE Robotics and Automation Letters. 4(3). 3075–3082. 23 indexed citations
12.
Turan, Mehmet, et al.. (2017). A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots. International Journal of Intelligent Robotics and Applications. 1(4). 442–450. 20 indexed citations
13.
Aliakbarpour, Hadi, Omar Tahri, & Hélder Araújo. (2014). Visual servoing of mobile robots using non-central catadioptric cameras. Robotics and Autonomous Systems. 62(11). 1613–1622. 17 indexed citations
14.
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
15.
Valença, Jónatas, Daniel Dias‐da‐Costa, Eduardo Júlio, & Hélder Araújo. (2011). Automatic integrated system for monitoring superficial cracks. 1. 1 indexed citations
16.
Araújo, Hélder, et al.. (2009). VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009 - Volume 1. 2 indexed citations
17.
Barreto, João P. & Hélder Araújo. (2005). Geometric properties of central catadioptric line images and their application in calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(8). 1327–1333. 123 indexed citations
18.
Batista, Jorge, Paulo Peixoto, & Hélder Araújo. (2002). Real-time vergence and binocular gaze control. 3. 1348–1354. 4 indexed citations
19.
Araújo, Hélder, R.L. Carceroni, & Christopher M. Brown. (1998). A Fully Projective Formulation to Improve the Accuracy of Lowe's Pose-Estimation Algorithm. Computer Vision and Image Understanding. 70(2). 227–238. 53 indexed citations
20.

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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