Pedro Neto
Impact in
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
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- Manufacturing Process and Optimization
Papers in
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- Robot Manipulation and Learning 41
- Robotic Mechanisms and Dynamics 14
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- Modular Robots and Swarm Intelligence 11
- Teleoperation and Haptic Systems 9
- Co-authors
- Nuno Mendes (23 shared papers)Mohammad Safeea (25 shared papers)Miguel Simão (13 shared papers)Olivier Gibaru (10 shared papers)António Paulo Moreira (15 shared papers)J. Norberto Pires (12 shared papers)D.M. Neto (3 shared papers)A. Loureiro (7 shared papers)
In The Last Decade
Pedro Neto
89 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 122
- Human-Computer Interaction 335
- Industrial and Manufacturing Engineering 487
- Control and Systems Engineering 866
- Mechanical Engineering 924
- Computer Vision and Pattern Recognition 389
Countries citing papers authored by Pedro Neto
This map shows the geographic impact of Pedro Neto'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 Pedro Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Neto more than expected).
Fields of papers citing papers by Pedro Neto
This network shows the impact of papers produced by Pedro Neto. 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 Pedro Neto. The network helps show where Pedro Neto may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro Neto, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 168 | |
| 2 | 2012 | 168 | |
| 3 | 2019 | 139 | |
| 4 | 2018 | 130 | |
| 5 | 2015 | 109 | |
| 6 | 2014 | 108 | |
| 7 | 2013 | 100 | |
| 8 | 2019 | 83 | |
| 9 | 2019 | 72 | |
| 10 | 2014 | 70 | |
| 11 | 2014 | 66 | |
| 12 | 2015 | 61 | |
| 13 | 2016 | 59 | |
| 14 | 2010 | 57 | |
| 15 | 2018 | 48 | |
| 16 | 2012 | 47 | |
| 17 | 2023 | 43 | |
| 18 | 2014 | 42 | |
| 19 | 2020 | 41 | |
| 20 | 2017 | 40 |
About Pedro Neto
Pedro Neto is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (41 papers), Manufacturing Process and Optimization (19 papers), Hand Gesture Recognition Systems (16 papers), Soft Robotics and Applications (14 papers), Robotic Mechanisms and Dynamics (14 papers), Robotic Path Planning Algorithms (12 papers), Modular Robots and Swarm Intelligence (11 papers) and Teleoperation and Haptic Systems (9 papers). The work is most often cited by research in Human-Computer Interaction (335 citations), Industrial and Manufacturing Engineering (487 citations), Control and Systems Engineering (866 citations), Mechanical Engineering (924 citations) and Computer Vision and Pattern Recognition (389 citations). Pedro Neto has collaborated with scholars based in Portugal, France and Italy. Frequent co-authors include Nuno Mendes, Mohammad Safeea, Miguel Simão, Olivier Gibaru, António Paulo Moreira, J. Norberto Pires, D.M. Neto, A. Loureiro, Richard Béarée and Carla I. Martins. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Industrial Informatics, Pattern Recognition Letters, IEEE Access and Expert Systems with Applications.
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.