Nir Shvalb
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robotics and Sensor-Based Localization 7
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- Robotic Mechanisms and Dynamics 6
- Co-authors
- Shraga Shoval (19 shared papers)Moshe Shoham (3 shared papers)Amir Shapiro (4 shared papers)Edward Bormashenko (13 shared papers)Mark Frenkel (10 shared papers)Boaz Ben‐Moshe (11 shared papers)David Blanc (3 shared papers)Irina Legchenkova (7 shared papers)
- Journals
- IEEE Access (3 papers)Symmetry (3 papers)The International Journal of Robotics Research (2 papers)Applied Sciences (2 papers)Robotica (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Nir Shvalb
59 papers receiving 374 citations
Peers
Comparison fields: 5 of 96
- Energy Engineering and Power Technology 18
- Control and Systems Engineering 101
- Computer Vision and Pattern Recognition 89
- Orthodontics 18
- Aerospace Engineering 76
Countries citing papers authored by Nir Shvalb
This map shows the geographic impact of Nir Shvalb'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 Nir Shvalb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Shvalb more than expected).
Fields of papers citing papers by Nir Shvalb
This network shows the impact of papers produced by Nir Shvalb. 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 Nir Shvalb. The network helps show where Nir Shvalb may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Shvalb, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 29 | |
| 2 | 2016 | 23 | |
| 3 | 2013 | 20 | |
| 4 | 2017 | 18 | |
| 5 | 2016 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2012 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2007 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2012 | 9 | |
| 16 | 2005 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2016 | 7 |
About Nir Shvalb
Nir Shvalb is a scholar working on Aerospace Engineering, Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 60 papers that have together received 383 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Robotic Mechanisms and Dynamics (6 papers), Soft Robotics and Applications (6 papers), Distributed Control Multi-Agent Systems (5 papers), Robotic Locomotion and Control (5 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (18 citations), Control and Systems Engineering (101 citations), Computer Vision and Pattern Recognition (89 citations), Orthodontics (18 citations) and Aerospace Engineering (76 citations). Nir Shvalb has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Shraga Shoval, Moshe Shoham, Amir Shapiro, Edward Bormashenko, Mark Frenkel, Boaz Ben‐Moshe, David Blanc, Irina Legchenkova, Alex Schechter and Hila May. Their work appears in journals such as IEEE Access, Symmetry, The International Journal of Robotics Research, Applied Sciences and Robotica.
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.