Subhro Das
Impact in
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- Distributed Control Multi-Agent Systems
- Distributed Sensor Networks and Detection Algorithms
- Energy Efficient Wireless Sensor Networks
- Artificial Intelligence top 10%
- Target Tracking and Data Fusion in Sensor Networks
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 7
- Machine Learning in Healthcare 3
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- Distributed Control Multi-Agent Systems 7
- Neural Networks Stability and Synchronization 3
- Distributed Sensor Networks and Detection Algorithms 3
- Co-authors
- José M. F. Moura (5 shared papers)Mark G. Allen (7 shared papers)Jeffrey H. Lang (7 shared papers)David P. Arnold (7 shared papers)I. Zana (6 shared papers)Jung-Wook Park (1 shared paper)Yingying Li (1 shared paper)Na Li (2 shared papers)
- Journals
- Journal of Microelectromechanical Systems (3 papers)IEEE Transactions on Signal Processing (2 papers)International Journal of Emerging Electric Power Systems (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)JAMIA Open (1 paper)
- Partner nations
- United StatesIndiaHong Kong
In The Last Decade
Subhro Das
35 papers receiving 464 citations
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 216
- Artificial Intelligence 219
- Control and Systems Engineering 94
- Electrical and Electronic Engineering 146
- Mechanical Engineering 75
Countries citing papers authored by Subhro Das
This map shows the geographic impact of Subhro Das'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 Subhro Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhro Das more than expected).
Fields of papers citing papers by Subhro Das
This network shows the impact of papers produced by Subhro Das. 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 Subhro Das. The network helps show where Subhro Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhro Das, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2015 | 116 | |
| 3 | 2006 | 41 | |
| 4 | 2006 | 26 | |
| 5 | 2006 | 23 | |
| 6 | 2013 | 19 | |
| 7 | 2005 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2005 | 8 | |
| 12 | 2005 | 8 | |
| 13 | Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better". | 2017 | 7 |
| 14 | 2023 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2017 | 3 |
About Subhro Das
Subhro Das is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 40 papers that have together received 481 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (7 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Electric Motor Design and Analysis (6 papers), Innovative Energy Harvesting Technologies (4 papers), Neural Networks Stability and Synchronization (3 papers), Machine Learning in Healthcare (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers) and Induction Heating and Inverter Technology (2 papers). The work is most often cited by research in Computer Networks and Communications (216 citations), Artificial Intelligence (219 citations), Control and Systems Engineering (94 citations), Electrical and Electronic Engineering (146 citations) and Mechanical Engineering (75 citations). Subhro Das has collaborated with scholars based in United States, India and Hong Kong. Frequent co-authors include José M. F. Moura, Mark G. Allen, Jeffrey H. Lang, David P. Arnold, I. Zana, Jung-Wook Park, Yingying Li, Na Li, Soumya K. Ghosh and Prasanna Sattigeri. Their work appears in journals such as Journal of Microelectromechanical Systems, IEEE Transactions on Signal Processing, International Journal of Emerging Electric Power Systems, IEEE Journal of Biomedical and Health Informatics and JAMIA Open.
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.