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 35
- Robotic Mechanisms and Dynamics 12
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- Modular Robots and Swarm Intelligence 9
- Co-authors
- Nuno Mendes (19 shared papers)Miguel Simão (13 shared papers)Mohammad Safeea (20 shared papers)Olivier Gibaru (10 shared papers)António Paulo Moreira (11 shared papers)J. Norberto Pires (10 shared papers)D.M. Neto (3 shared papers)A. Loureiro (7 shared papers)
In The Last Decade
Pedro Neto
78 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 119
- Human-Computer Interaction 313
- Industrial and Manufacturing Engineering 415
- Control and Systems Engineering 761
- Mechanical Engineering 831
- Computer Vision and Pattern Recognition 346
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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 161 | |
| 2 | 2012 | 157 | |
| 3 | 2019 | 135 | |
| 4 | 2018 | 120 | |
| 5 | 2014 | 102 | |
| 6 | 2015 | 99 | |
| 7 | 2013 | 89 | |
| 8 | 2019 | 79 | |
| 9 | 2019 | 65 | |
| 10 | 2014 | 65 | |
| 11 | 2014 | 60 | |
| 12 | 2015 | 59 | |
| 13 | 2016 | 55 | |
| 14 | 2010 | 44 | |
| 15 | 2023 | 43 | |
| 16 | 2018 | 43 | |
| 17 | 2014 | 42 | |
| 18 | 2012 | 41 | |
| 19 | 2020 | 38 | |
| 20 | 2017 | 37 |
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 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (35 papers), Manufacturing Process and Optimization (17 papers), Hand Gesture Recognition Systems (14 papers), Soft Robotics and Applications (12 papers), Robotic Mechanisms and Dynamics (12 papers), Robotic Path Planning Algorithms (10 papers), Modular Robots and Swarm Intelligence (9 papers) and Advanced Sensor and Energy Harvesting Materials (6 papers). The work is most often cited by research in Human-Computer Interaction (313 citations), Industrial and Manufacturing Engineering (415 citations), Control and Systems Engineering (761 citations), Mechanical Engineering (831 citations) and Computer Vision and Pattern Recognition (346 citations). Pedro Neto has collaborated with scholars based in Portugal, France and Brazil. Frequent co-authors include Nuno Mendes, Miguel Simão, Mohammad Safeea, Olivier Gibaru, António Paulo Moreira, J. Norberto Pires, D.M. Neto, A. Loureiro, Richard Béarée and Mahmoud Tavakoli. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, IEEE Transactions on Industrial Informatics, Mechanism and Machine Theory, Results in Engineering and International Journal of Computer Integrated Manufacturing.
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.