Tanmay Chavan
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Advancements in Semiconductor Devices and Circuit Design
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- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 7
- Ferroelectric and Negative Capacitance Devices 3
- Advancements in Semiconductor Devices and Circuit Design 3
- Co-authors
- Wei Cao (5 shared papers)Arnab Pal (5 shared papers)Kaustav Banerjee (5 shared papers)Udayan Ganguly (5 shared papers)Chao‐Hui Yeh (3 shared papers)Sandip Lashkare (1 shared paper)Pankaj Kumbhare (1 shared paper)Shuo Zhang (1 shared paper)
- Journals
- Solid-State Electronics (1 paper)IEEE Electron Device Letters (1 paper)MRS Bulletin (1 paper)Journal of Applied Physics (1 paper)Nature Electronics (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Tanmay Chavan
13 papers receiving 331 citations
Peers
Comparison fields: 5 of 32
- Electrical and Electronic Engineering 224
- Cellular and Molecular Neuroscience 57
- Materials Chemistry 148
- Polymers and Plastics 24
- Cognitive Neuroscience 27
Countries citing papers authored by Tanmay Chavan
This map shows the geographic impact of Tanmay Chavan'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 Tanmay Chavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmay Chavan more than expected).
Fields of papers citing papers by Tanmay Chavan
This network shows the impact of papers produced by Tanmay Chavan. 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 Tanmay Chavan. The network helps show where Tanmay Chavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanmay Chavan, 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 | 2018 | 115 | |
| 2 | 2022 | 96 | |
| 3 | 2021 | 51 | |
| 4 | 2024 | 23 | |
| 5 | 2021 | 13 | |
| 6 | 2024 | 11 | |
| 7 | 2019 | 8 | |
| 8 | 2016 | 5 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Tanmay Chavan
Tanmay Chavan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), 2D Materials and Applications (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), GaN-based semiconductor devices and materials (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers) and Ga2O3 and related materials (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (224 citations), Cellular and Molecular Neuroscience (57 citations), Materials Chemistry (148 citations), Polymers and Plastics (24 citations) and Cognitive Neuroscience (27 citations). Tanmay Chavan has collaborated with scholars based in United States, India and China. Frequent co-authors include Wei Cao, Arnab Pal, Kaustav Banerjee, Udayan Ganguly, Chao‐Hui Yeh, Sandip Lashkare, Pankaj Kumbhare, Shuo Zhang, Kamyar Parto and Nihar R. Mohapatra. Their work appears in journals such as Solid-State Electronics, IEEE Electron Device Letters, MRS Bulletin, Journal of Applied Physics and Nature Electronics.
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.