Arjun Singh
Impact in
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- Robot Manipulation and Learning
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Vision and Imaging
Papers in
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- Video Surveillance and Tracking Methods 1
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- Robot Manipulation and Learning 4
- Co-authors
- Pieter Abbeel (8 shared papers)Siddhartha S Srinivasa (3 shared papers)Aaron M. Dollar (3 shared papers)Berk Çallı (3 shared papers)Aaron Walsman (3 shared papers)Stephen D. Miller (2 shared papers)Karthik Narayan (2 shared papers)Kurt Konolige (1 shared paper)
- Journals
- IEEE Robotics & Automation Magazine (1 paper)The International Journal of Robotics Research (1 paper)Measurement Sensors (1 paper)South-East Asian Journal of Medical Education (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Arjun Singh
11 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Control and Systems Engineering 957
- Computer Vision and Pattern Recognition 698
- Human-Computer Interaction 184
- Geology 95
- Aerospace Engineering 404
Countries citing papers authored by Arjun Singh
This map shows the geographic impact of Arjun Singh'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 Arjun Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Singh more than expected).
Fields of papers citing papers by Arjun Singh
This network shows the impact of papers produced by Arjun Singh. 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 Arjun Singh. The network helps show where Arjun Singh may publish in the future.
Co-authors
The 22 scholars most cited alongside Arjun Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The YCB object and Model set: Towards common benchmarks for manipulation research Hit paper breakdown → | 2015 | 485 |
| 2 | Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set Hit paper breakdown → | 2015 | 404 |
| 3 | 2017 | 236 | |
| 4 | 2014 | 186 | |
| 5 | 2011 | 110 | |
| 6 | 2012 | 80 | |
| 7 | 2010 | 28 | |
| 8 | 2015 | 14 | |
| 9 | 2023 | 3 | |
| 10 | 2017 | 2 | |
| 11 | Validation and quality assessment of Rasamanikya - A classical herbomineral preparation | 2011 | 1 |
| 12 | 2018 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2022 | 0 |
About Arjun Singh
Arjun Singh is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Geology, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Robot Manipulation and Learning (4 papers), 3D Surveying and Cultural Heritage (3 papers), IoT-based Smart Home Systems (2 papers), Phytochemicals and Medicinal Plants (2 papers), Manufacturing Process and Optimization (2 papers), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Control and Systems Engineering (957 citations), Computer Vision and Pattern Recognition (698 citations), Human-Computer Interaction (184 citations), Geology (95 citations) and Aerospace Engineering (404 citations). Arjun Singh has collaborated with scholars based in United States and India. Frequent co-authors include Pieter Abbeel, Siddhartha S Srinivasa, Aaron M. Dollar, Berk Çallı, Aaron Walsman, Stephen D. Miller, Karthik Narayan, Kurt Konolige, James Bruce and James F. O’Brien. Their work appears in journals such as IEEE Robotics & Automation Magazine, The International Journal of Robotics Research, Measurement Sensors and South-East Asian Journal of Medical Education.
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.