Dayanand Kumar
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Polymers and Plastics top 5%
- Transition Metal Oxide Nanomaterials
Papers in
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- Advanced Memory and Neural Computing 36
- Ferroelectric and Negative Capacitance Devices 15
- Semiconductor materials and devices 4
-
- Photoreceptor and optogenetics research 12
- Neuroscience and Neural Engineering 9
- Co-authors
- Tseung‐Yuen Tseng (19 shared papers)Umesh Chand (9 shared papers)Rakesh Aluguri (8 shared papers)Nazek El‐Atab (16 shared papers)Hanrui Li (12 shared papers)Uttam Kumar Das (3 shared papers)Wen Siang Lew (2 shared papers)Amit Singh (7 shared papers)
- Journals
- IEEE Transactions on Electron Devices (5 papers)ACS Applied Electronic Materials (4 papers)IEEE Electron Device Letters (4 papers)Advanced Materials (3 papers)Applied Physics Letters (2 papers)
- Partner nations
- TaiwanSaudi ArabiaSingapore
In The Last Decade
Dayanand Kumar
40 papers receiving 949 citations
Peers
Comparison fields: 5 of 36
- Cellular and Molecular Neuroscience 385
- Polymers and Plastics 256
- Electrical and Electronic Engineering 879
- Materials Chemistry 163
- Artificial Intelligence 121
Countries citing papers authored by Dayanand Kumar
This map shows the geographic impact of Dayanand 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 Dayanand Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayanand Kumar more than expected).
Fields of papers citing papers by Dayanand Kumar
This network shows the impact of papers produced by Dayanand 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 Dayanand Kumar. The network helps show where Dayanand Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Dayanand 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 139 | |
| 2 | 2023 | 119 | |
| 3 | 2017 | 67 | |
| 4 | 2020 | 57 | |
| 5 | 2023 | 40 | |
| 6 | 2021 | 36 | |
| 7 | 2015 | 35 | |
| 8 | 2024 | 32 | |
| 9 | 2022 | 32 | |
| 10 | 2018 | 31 | |
| 11 | 2020 | 31 | |
| 12 | 2017 | 29 | |
| 13 | 2022 | 29 | |
| 14 | 2019 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2023 | 22 | |
| 18 | 2018 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2022 | 18 |
About Dayanand Kumar
Dayanand Kumar is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Artificial Intelligence and Materials Chemistry, having authored 42 papers that have together received 959 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (36 papers), Ferroelectric and Negative Capacitance Devices (15 papers), Photoreceptor and optogenetics research (12 papers), Neuroscience and Neural Engineering (9 papers), Transition Metal Oxide Nanomaterials (8 papers), Neural Networks and Reservoir Computing (8 papers), Electronic and Structural Properties of Oxides (4 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (385 citations), Polymers and Plastics (256 citations), Electrical and Electronic Engineering (879 citations), Materials Chemistry (163 citations) and Artificial Intelligence (121 citations). Dayanand Kumar has collaborated with scholars based in Taiwan, Saudi Arabia and Singapore. Frequent co-authors include Tseung‐Yuen Tseng, Umesh Chand, Rakesh Aluguri, Nazek El‐Atab, Hanrui Li, Uttam Kumar Das, Wen Siang Lew, Amit Singh, D. S. Ang and Chun-Yang Huang. Their work appears in journals such as IEEE Transactions on Electron Devices, ACS Applied Electronic Materials, IEEE Electron Device Letters, Advanced Materials and Applied Physics 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.