João Sequeira
Impact in
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 16
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- Control and Dynamics of Mobile Robots 9
- Co-authors
- Fernándo Alonso-Martín (2 shared papers)Miguel Á. Salichs (2 shared papers)María Malfáz (1 shared paper)Matthijs T. J. Spaan (4 shared papers)M. O. Tokhi (3 shared papers)Endre E. Kádár (3 shared papers)G.S. Virk (3 shared papers)Rodrigo Ventura (2 shared papers)
- Journals
- PeerJ Computer Science (2 papers)Sensors (2 papers)Advances in experimental medicine and biology (1 paper)Electronics (1 paper)Language Resources and Evaluation (1 paper)
- Partner nations
- PortugalFranceUnited Kingdom
In The Last Decade
João Sequeira
61 papers receiving 454 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 121
- Human-Computer Interaction 23
- Social Psychology 80
- Control and Systems Engineering 87
- Artificial Intelligence 116
Countries citing papers authored by João Sequeira
This map shows the geographic impact of João Sequeira'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 Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Sequeira more than expected).
Fields of papers citing papers by João Sequeira
This network shows the impact of papers produced by João Sequeira. 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 Sequeira. The network helps show where João Sequeira may publish in the future.
Co-authors
The 25 scholars most cited alongside João Sequeira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 74 | |
| 2 | 2010 | 32 | |
| 3 | 2019 | 28 | |
| 4 | 2014 | 25 | |
| 5 | 2009 | 22 | |
| 6 | 2007 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2011 | 20 | |
| 9 | 2006 | 17 | |
| 10 | The Development of a Robotic System for Maintenance and Inspection of Power Lines | 2003 | 17 |
| 11 | 2022 | 14 | |
| 12 | 2003 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2010 | 12 | |
| 16 | 2017 | 10 | |
| 17 | 2010 | 8 | |
| 18 | 2007 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2004 | 5 |
About João Sequeira
João Sequeira is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering and Biomedical Engineering, having authored 72 papers that have together received 474 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (16 papers), Control and Dynamics of Mobile Robots (9 papers), Social Robot Interaction and HRI (8 papers), Robotics and Sensor-Based Localization (8 papers), Modular Robots and Swarm Intelligence (7 papers), Robotic Locomotion and Control (6 papers), Ethics and Social Impacts of AI (5 papers) and Underwater Vehicles and Communication Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Human-Computer Interaction (23 citations), Social Psychology (80 citations), Control and Systems Engineering (87 citations) and Artificial Intelligence (116 citations). João Sequeira has collaborated with scholars based in Portugal, France and United Kingdom. Frequent co-authors include Fernándo Alonso-Martín, Miguel Á. Salichs, María Malfáz, Matthijs T. J. Spaan, M. O. Tokhi, Endre E. Kádár, G.S. Virk, Rodrigo Ventura, Antonios Tsourdos and Pedro U. Lima. Their work appears in journals such as PeerJ Computer Science, Sensors, Advances in experimental medicine and biology, Electronics and Language Resources and Evaluation.
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.