Adarsh Dave
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
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- Electrochemical Analysis and Applications
Papers in
-
- Advancements in Battery Materials 3
- Fuel Cells and Related Materials 3
- Optimal Power Flow Distribution 1
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- Machine Learning in Materials Science 6
- Co-authors
- Venkatasubramanian Viswanathan (7 shared papers)Jared Mitchell (5 shared papers)Jay Whitacre (5 shared papers)Sven Burke (4 shared papers)Barnabás Póczos (1 shared paper)Han Wang (1 shared paper)Kirthevasan Kandasamy (1 shared paper)Biswajit Paria (1 shared paper)
- Journals
- Journal of The Electrochemical Society (2 papers)Nature Communications (2 papers)MRS Bulletin (1 paper)Cell Reports Physical Science (1 paper)IEEE Transactions on Sustainable Energy (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Adarsh Dave
9 papers receiving 308 citations
Peers
Comparison fields: 5 of 57
- Automotive Engineering 116
- Electrochemistry 23
- Electrical and Electronic Engineering 202
- Materials Chemistry 141
- Nuclear Energy and Engineering 1
Countries citing papers authored by Adarsh Dave
This map shows the geographic impact of Adarsh Dave'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 Adarsh Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adarsh Dave more than expected).
Fields of papers citing papers by Adarsh Dave
This network shows the impact of papers produced by Adarsh Dave. 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 Adarsh Dave. The network helps show where Adarsh Dave may publish in the future.
Co-authors
The 25 scholars most cited alongside Adarsh Dave, 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 | 2020 | 123 | |
| 2 | 2022 | 111 | |
| 3 | 2019 | 29 | |
| 4 | 2024 | 18 | |
| 5 | 2019 | 17 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 2 |
About Adarsh Dave
Adarsh Dave is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Automotive Engineering, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering, having authored 9 papers that have together received 320 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced Battery Technologies Research (4 papers), Advancements in Battery Materials (3 papers), Fuel Cells and Related Materials (3 papers), Electrocatalysts for Energy Conversion (2 papers), Process Optimization and Integration (1 paper), Speech and Audio Processing (1 paper) and Optimal Power Flow Distribution (1 paper). The work is most often cited by research in Automotive Engineering (116 citations), Electrochemistry (23 citations), Electrical and Electronic Engineering (202 citations), Materials Chemistry (141 citations) and Nuclear Energy and Engineering (1 citation). Adarsh Dave has collaborated with scholars based in United States and India. Frequent co-authors include Venkatasubramanian Viswanathan, Jared Mitchell, Jay Whitacre, Sven Burke, Barnabás Póczos, Han Wang, Kirthevasan Kandasamy, Biswajit Paria, Kevin L. Gering and Wei Wu. Their work appears in journals such as Journal of The Electrochemical Society, Nature Communications, MRS Bulletin, Cell Reports Physical Science and IEEE Transactions on Sustainable Energy.
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.