Dhruv Shah
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Aerospace Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Sergey LevineLeena VachhaniNoriaki HiroseS SangeethaNeelanjan DasHenry A. LeopoldSaurabh GuptaQuan Vuong
- Topics
- Robotic Path Planning Algorithms (3 papers)Robotics and Sensor-Based Localization (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Journals
- Philosophical Transactions of the Royal Society B Biological SciencesIEEE Robotics and Automation LettersDiagnostics
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Dhruv Shah
15 papers receiving 148 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 69
- Artificial Intelligence 36
- Control and Systems Engineering 28
- Aerospace Engineering 28
- Radiology, Nuclear Medicine and Imaging 12
Countries citing papers authored by Dhruv Shah
This map shows the geographic impact of Dhruv Shah'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 Dhruv Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhruv Shah more than expected).
Fields of papers citing papers by Dhruv Shah
This network shows the impact of papers produced by Dhruv Shah. 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 Dhruv Shah. The network helps show where Dhruv Shah may publish in the future.
Co-authorship network of co-authors of Dhruv Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Dhruv Shah. A scholar is included among the top collaborators of Dhruv Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dhruv Shah. Dhruv Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 36 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 4 |
About Dhruv Shah
Dhruv Shah is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Anesthesiology and Pain Medicine, having authored 18 papers that have together received 152 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (69 citations), Health Informatics (4 citations) and Control and Systems Engineering (28 citations). Dhruv Shah has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sergey Levine, Leena Vachhani, Noriaki Hirose, S Sangeetha, Neelanjan Das, Henry A. Leopold, Saurabh Gupta, Quan Vuong, Devendra Singh Chaplot and Roozbeh Mottaghi. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, IEEE Robotics and Automation Letters and Diagnostics.
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.