Amitesh Kumar
Impact in
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- Advanced Memory and Neural Computing
- Chalcogenide Semiconductor Thin Films
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
- Gas Sensing Nanomaterials and Sensors
- Semiconductor materials and devices
- Polymers and Plastics top 10%
Papers in
-
- Chalcogenide Semiconductor Thin Films 14
- Perovskite Materials and Applications 12
- Advanced Memory and Neural Computing 11
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- Conducting polymers and applications 7
- Co-authors
- Shaibal MukherjeeBrajendra S. SengarVivek GargShailendra KumarMangal DasRohit SinghMyo Than HtayPraveen Dwivedi
In The Last Decade
Amitesh Kumar
53 papers receiving 713 citations
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 631
- Polymers and Plastics 140
- Materials Chemistry 328
- Cellular and Molecular Neuroscience 94
- Bioengineering 23
Countries citing papers authored by Amitesh Kumar
This map shows the geographic impact of Amitesh Kumar'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 Amitesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitesh Kumar more than expected).
Fields of papers citing papers by Amitesh Kumar
This network shows the impact of papers produced by Amitesh Kumar. 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 Amitesh Kumar. The network helps show where Amitesh Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amitesh Kumar, 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 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 59 | |
| 17 | 2019 | 6 | |
| 18 | 2018 | 11 | |
| 19 | 2018 | 58 | |
| 20 | 2017 | 49 |
About Amitesh Kumar
Amitesh Kumar is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Automotive Engineering, Materials Chemistry and Control and Systems Engineering, having authored 61 papers that have together received 733 indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (14 papers), Perovskite Materials and Applications (12 papers), Advanced Memory and Neural Computing (11 papers), Quantum Dots Synthesis And Properties (11 papers), Neuroscience and Neural Engineering (7 papers), Microgrid Control and Optimization (7 papers), ZnO doping and properties (7 papers) and Conducting polymers and applications (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (631 citations), Polymers and Plastics (140 citations), Materials Chemistry (328 citations), Cellular and Molecular Neuroscience (94 citations) and Bioengineering (23 citations). Amitesh Kumar has collaborated with scholars based in India, Japan and Australia. Frequent co-authors include Shaibal Mukherjee, Brajendra S. Sengar, Vivek Garg, Shailendra Kumar, Mangal Das, Rohit Singh, Myo Than Htay, Praveen Dwivedi, Victor V. Atuchin∥⊥ and Aaryashree Aaryashree. Their work appears in journals such as Journal of Physics D Applied Physics, Journal of Materials Science Materials in Electronics, IEEE Transactions on Electron Devices, Solar Energy and IEEE Electron Device Letters.
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.