Anup Parikh
Impact in
- Rehabilitation top 10%
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
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- Adaptive Control of Nonlinear Systems 4
- Advanced Control Systems Optimization 2
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- Advanced Vision and Imaging 6
- Co-authors
- Warren E. Dixon (18 shared papers)Gad Shaulsky (6 shared papers)Adam Kuspa (5 shared papers)Blaž Zupan (5 shared papers)Gregor Rot (3 shared papers)R. Dunlop (3 shared papers)Ryan J. Downey (2 shared papers)Tomaž Curk (2 shared papers)
- Journals
- IEEE Transactions on Control Systems Technology (2 papers)BMC Bioinformatics (2 papers)IEEE Transactions on Robotics (2 papers)Current Biology (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesSloveniaTaiwan
In The Last Decade
Anup Parikh
30 papers receiving 762 citations
Peers
Comparison fields: 5 of 102
- Rehabilitation 50
- Cell Biology 124
- Control and Systems Engineering 166
- Aging 12
- Endocrinology 26
Countries citing papers authored by Anup Parikh
This map shows the geographic impact of Anup Parikh'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 Anup Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Parikh more than expected).
Fields of papers citing papers by Anup Parikh
This network shows the impact of papers produced by Anup Parikh. 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 Anup Parikh. The network helps show where Anup Parikh may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup Parikh, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 139 | |
| 2 | 2008 | 104 | |
| 3 | 2016 | 73 | |
| 4 | 2009 | 61 | |
| 5 | 2013 | 52 | |
| 6 | 1979 | 48 | |
| 7 | 2018 | 33 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 1979 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 1979 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2013 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 13 | |
| 18 | 2016 | 12 | |
| 19 | 2017 | 10 | |
| 20 | 2017 | 9 |
About Anup Parikh
Anup Parikh is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 30 papers that have together received 783 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (6 papers), Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers), Adaptive Control of Nonlinear Systems (4 papers), Distributed Control Multi-Agent Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Advanced Control Systems Optimization (2 papers) and Adaptive Dynamic Programming Control (2 papers). The work is most often cited by research in Rehabilitation (50 citations), Cell Biology (124 citations), Control and Systems Engineering (166 citations), Aging (12 citations) and Endocrinology (26 citations). Anup Parikh has collaborated with scholars based in United States, Slovenia and Taiwan. Frequent co-authors include Warren E. Dixon, Gad Shaulsky, Adam Kuspa, Blaž Zupan, Gregor Rot, R. Dunlop, Ryan J. Downey, Tomaž Curk, Richard Sucgang and Matthew J. Bellman. Their work appears in journals such as IEEE Transactions on Control Systems Technology, BMC Bioinformatics, IEEE Transactions on Robotics, Current Biology and Genome biology.
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.