Isabel Ribeiro
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 26
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- Robotics and Sensor-Based Localization 25
- Co-authors
- Francisco S. Melo (8 shared papers)Sean Meyn (1 shared paper)Alberto Vale (11 shared papers)V. Sequeira (6 shared papers)Pedro M. Vieira (1 shared paper)J.G.M. Gonçalves (6 shared papers)Artur Arsénio (2 shared papers)José M. F. Moura (8 shared papers)
- Journals
- Robotics and Autonomous Systems (5 papers)Fusion Engineering and Design (5 papers)Integrated Computer-Aided Engineering (2 papers)British Journal of Haematology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- PortugalUnited StatesItaly
In The Last Decade
Isabel Ribeiro
68 papers receiving 810 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 334
- Aerospace Engineering 301
- Control and Systems Engineering 203
- Conservation 29
- Geology 39
Countries citing papers authored by Isabel Ribeiro
This map shows the geographic impact of Isabel Ribeiro'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 Isabel Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Ribeiro more than expected).
Fields of papers citing papers by Isabel Ribeiro
This network shows the impact of papers produced by Isabel Ribeiro. 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 Isabel Ribeiro. The network helps show where Isabel Ribeiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabel Ribeiro, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 111 | |
| 2 | 2002 | 100 | |
| 3 | Gaussian Probability Density Functions: Properties and Error Characterization | 2004 | 63 |
| 4 | 2008 | 49 | |
| 5 | 2011 | 47 | |
| 6 | 2002 | 30 | |
| 7 | 1995 | 27 | |
| 8 | 2007 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2006 | 24 | |
| 11 | 2010 | 22 | |
| 12 | 1996 | 21 | |
| 13 | 2002 | 19 | |
| 14 | 2007 | 18 | |
| 15 | 2002 | 17 | |
| 16 | 2000 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2014 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 1991 | 13 |
About Isabel Ribeiro
Isabel Ribeiro is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 73 papers that have together received 869 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (26 papers), Robotics and Sensor-Based Localization (25 papers), Control and Dynamics of Mobile Robots (11 papers), Reinforcement Learning in Robotics (9 papers), Modular Robots and Swarm Intelligence (9 papers), Fault Detection and Control Systems (8 papers), Distributed Control Multi-Agent Systems (7 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (334 citations), Aerospace Engineering (301 citations), Control and Systems Engineering (203 citations), Conservation (29 citations) and Geology (39 citations). Isabel Ribeiro has collaborated with scholars based in Portugal, United States and Italy. Frequent co-authors include Francisco S. Melo, Sean Meyn, Alberto Vale, V. Sequeira, Pedro M. Vieira, J.G.M. Gonçalves, Artur Arsénio, José M. F. Moura, Rodrigo Ventura and Carlo Damiani. Their work appears in journals such as Robotics and Autonomous Systems, Fusion Engineering and Design, Integrated Computer-Aided Engineering, British Journal of Haematology and Analytical Chemistry.
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.