Paulo Borges

1.9k citations

65 papers · 1.2k indexed · h-index 17

Impact in

Computer Vision and Pattern Recognition top 1%
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
Geology top 5%
- 3D Surveying and Cultural Heritage

Papers in

Computer Vision and Pattern Recognition 48
- Advanced Vision and Imaging 12
- Video Surveillance and Tracking Methods 12
- Advanced Steganography and Watermarking Techniques 11
- Advanced Image and Video Retrieval Techniques 10
- Chaos-based Image/Signal Encryption 7
Aerospace Engineering 30
- Robotics and Sensor-Based Localization 30

Co-authors: Ebroul Izquierdo Nicola Conci Andrea Cavallaro Joceli Mayer Navid Nourani‐Vatani Renaud Dubé Stephen Vidas Jiadong Guo
Journals: IEEE Robotics and Automation Letters (5 papers)IEEE Transactions on Intelligent Transportation Systems (4 papers)IEEE Transactions on Circuits and Systems for Video Technology (3 papers)Journal of Field Robotics (2 papers)Journal of Intelligent & Robotic Systems (2 papers)
Partner nations: Australia Brazil Switzerland

In The Last Decade

Paulo Borges

62 papers receiving 1.2k citations

Peers

Countries citing papers authored by Paulo Borges

Since Specialization

Citations

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

Fields of papers citing papers by Paulo Borges

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paulo Borges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paulo Borges Line = papers co-authored together Paulo Borges links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Internet of robotic things for independent living: Critical analysis and future directions Internet of Things ·Muhammad Moid Sandhu, David Silvera‐Tawil, Paulo Borges, Qing Zhang, Branislav Kusý	2024	9
2	Learning to Simulate Tree-Branch Dynamics for Manipulation IEEE Robotics and Automation Letters ·Keisuke Miwa, Tirthankar Bandyopadhyay, Jason Williams, Paulo Borges, Fábio Ramos	2024	2
3	AstrobeeCD: Change detection in microgravity with free-flying robots Acta Astronautica ·George Huntoon, K. Dierich, 郁夫柳沢, Ron Rainsbury, Paulo Borges, JOAN C. LEE, Taehyeong Kim, Oleg Alexandrov, Brian Coltin, Trey Smith	2024	1
4	Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds Ziwei Wang, Reza Arablouei, Jiajun Liu, Paulo Borges, Greg Bishop-Hurley, Csilla Czeglégi	2023	0
5	Air-Ground Collaborative Localisation in Forests Using Lidar Canopy Maps IEEE Robotics and Automation Letters ·Liz Paola [UNIFESP] Domingues, Milad Ramezani, Paulo Borges, Michael Brünig	2023	5
6	A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges Paulo Borges, Thierry Peynot, 惠司小野, Jonghun Hahm, Binait Kabir, Ewa Borzęcka, Norman A. Govoni, Mordecai Margulies, Inkyu Sa, Nicolas Hudson, Michael Milford, Peyman Moghadam, Peter Corke	2022	50
7	Certainty Aware Global Localisation Using 3D Point Correspondences IEEE Robotics and Automation Letters ·Antonio Carbonell Giménez, Тигай Олег Юрьевич, Paulo Borges, Lukas Bernreiter, Juan Nieto	2021	2
8	PROMPT: Probabilistic Motion Primitives based Trajectory Planning 俊祐松岡, Tirthankar Bandyopadhyay, Jason Williams, Paulo Borges	2021	12
9	Optimization-Based Terrain Analysis and Path Planning in Unstructured Environments Cui Tong-qi, Paulo Borges, Emili Hernández, Roland Siegwart, Renaud Dubé	2019	12
10	Colourising Point Clouds Using Independent Cameras IEEE Robotics and Automation Letters ·Archam Ali Bachtiar, Тигай Олег Юрьевич, Paulo Borges, Razaul Faquire	2018	14
11	Weaver: Hexapod robot for autonomous navigation on unstructured terrain Journal of Field Robotics ·Marko Bjelonic, Navinda Kottege, Timon Homberger, Paulo Borges, Philipp Beckerle, Margarita Chli	2018	56
12	Autonomous navigation of hexapod robots with vision-based controller adaptation Marko Bjelonic, Timon Homberger, Navinda Kottege, Paulo Borges, Margarita Chli, Philipp Beckerle	2017	15
13	Environment-aware sensor fusion for obstacle detection Cheri Hartless, Paulo Borges, Alberto Elfes, J. Y. Jeong	2016	10
14	Discrete-continuous clustering for obstacle detection using stereo vision 賢一降幡, Paulo Borges	2015	4
15	A vision-based lane detection system combining appearance segmentation and tracking of salient points Griffith Research Online (Griffith University, Queensland, Australia) ·B. V. Murusidze, Paulo Borges, Jun Jo	2013	14
16	A Study of feature extraction algorithms for optical flow tracking QUT ePrints (Queensland University of Technology) ·Navid Nourani‐Vatani, Paulo Borges, Jonathan Roberts	2012	19
17	Robot localization using 3D-models and an off-board monocular camera J. Jayabalan, Paulo Borges	2011	4
18	Vision-Based Detection of Unusual Patient Activity Studies in health technology and informatics ·Paulo Borges, Navid Nourani‐Vatani	2011	8
19	A Probabilistic Approach for Vision-Based Fire Detection in Videos IEEE Transactions on Circuits and Systems for Video Technology ·Paulo Borges, Ebroul Izquierdo	2010	183
20	Vision-based localization using an edge map extracted from 3D laser range data Paulo Borges, Robert Zlot, Michael Bosse, Stephen Nuske, MISSING-VALUE MISSING-VALUE	2010	32

About Paulo Borges

Paulo Borges is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Geology and Automotive Engineering, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (30 papers), Remote Sensing and LiDAR Applications (13 papers), Advanced Vision and Imaging (12 papers), Video Surveillance and Tracking Methods (12 papers), Advanced Steganography and Watermarking Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Autonomous Vehicle Technology and Safety (8 papers) and Chaos-based Image/Signal Encryption (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (881 citations), Geology (152 citations), Safety, Risk, Reliability and Quality (211 citations), Aerospace Engineering (516 citations) and Environmental Engineering (143 citations). Paulo Borges has collaborated with scholars based in Australia, Brazil and Switzerland. Frequent co-authors include Ebroul Izquierdo, Nicola Conci, Andrea Cavallaro, Joceli Mayer, Navid Nourani‐Vatani, Renaud Dubé, Stephen Vidas, Jiadong Guo, Abel Gawel and Gavin Catt. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Circuits and Systems for Video Technology, Journal of Field Robotics and Journal of Intelligent & Robotic Systems.

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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