Divya Shah
- Control and Systems Engineering top 2%
- Biomedical Engineering top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Kok‐Meng LeeAlberto ParmiggianiFrank ShipmanJonathan M. MooreHaowei HsiehPreetam MaloorGiorgio MettaYong-Jae Kim
- Topics
- Robot Manipulation and Learning (5 papers)Robotic Mechanisms and Dynamics (5 papers)Soft Robotics and Applications (3 papers)
- Cited by
- Control and Systems EngineeringBiomedical EngineeringIndustrial and Manufacturing Engineering
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Divya Shah
11 papers receiving 663 citations
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 595
- Biomedical Engineering 361
- Mechanical Engineering 143
- Industrial and Manufacturing Engineering 71
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Divya Shah
This map shows the geographic impact of Divya 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 Divya Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Shah more than expected).
Fields of papers citing papers by Divya Shah
This network shows the impact of papers produced by Divya 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 Divya Shah. The network helps show where Divya Shah may publish in the future.
Co-authorship network of co-authors of Divya Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Divya Shah. A scholar is included among the top collaborators of Divya 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 Divya Shah. Divya 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 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | Emergent Structure in Analytic Workspaces: Design and Use of the Visual Knowledge Builder. | 11 |
| 11 | 0 | |
| 12 | 23 | |
| 13 | 349 | |
| 14 | 272 |
About Divya Shah
Divya Shah is a scholar working on Human-Computer Interaction, Information Systems and Management and Control and Systems Engineering, having authored 14 papers that have together received 695 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Robotic Mechanisms and Dynamics (5 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (595 citations), Biomedical Engineering (361 citations) and Industrial and Manufacturing Engineering (71 citations). Divya Shah has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Kok‐Meng Lee, Alberto Parmiggiani, Frank Shipman, Jonathan M. Moore, Haowei Hsieh, Preetam Maloor, Giorgio Metta, Yong-Jae Kim, Yuanqing Wu and R. V. Dharaskar. Their work appears in journals such as MethodsX, Robotics and IEEE Journal on Robotics and Automation.
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.