Adarsh Kumar Kosta
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- Neural dynamics and brain function 4
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- Advanced Memory and Neural Computing 12
- Ferroelectric and Negative Capacitance Devices 6
- CCD and CMOS Imaging Sensors 2
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- Neural Networks and Reservoir Computing 5
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- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 1
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- Hand Gesture Recognition Systems 2
- Co-authors
- Kaushik RoyNitin RathiAayush AnkitPriyadarshini PandaIndranil ChakrabortyAbhronil SenguptaChankyu LeeAmogh Agrawal
- Journals
- IEEE Transactions on Cognitive and Developmental Systems (1 paper)IEEE Transactions on Emerging Topics in Computing (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Adarsh Kumar Kosta
16 papers receiving 217 citations
Peers
Comparison fields: 5 of 41
- Cognitive Neuroscience 69
- Electrical and Electronic Engineering 167
- Artificial Intelligence 79
- Computer Vision and Pattern Recognition 24
- Cellular and Molecular Neuroscience 21
Countries citing papers authored by Adarsh Kumar Kosta
This map shows the geographic impact of Adarsh Kumar Kosta'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 Kumar Kosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adarsh Kumar Kosta more than expected).
Fields of papers citing papers by Adarsh Kumar Kosta
This network shows the impact of papers produced by Adarsh Kumar Kosta. 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 Kumar Kosta. The network helps show where Adarsh Kumar Kosta may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Adarsh Kumar Kosta, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 106 | |
| 13 | 2022 | 30 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 18 | |
| 18 | 2018 | 1 |
About Adarsh Kumar Kosta
Adarsh Kumar Kosta is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 18 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Neural Networks and Reservoir Computing (5 papers), Neural dynamics and brain function (4 papers), CCD and CMOS Imaging Sensors (2 papers), Hand Gesture Recognition Systems (2 papers), Neuroscience and Neural Engineering (2 papers) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cognitive Neuroscience (69 citations), Electrical and Electronic Engineering (167 citations) and Artificial Intelligence (79 citations). Adarsh Kumar Kosta has collaborated with scholars based in United States and India. Frequent co-authors include Kaushik Roy, Nitin Rathi, Aayush Ankit, Priyadarshini Panda, Indranil Chakraborty, Abhronil Sengupta, Chankyu Lee, Amogh Agrawal, Sayeed Shafayet Chowdhury and Zishen Wan. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Emerging Topics in Computing, ACM Computing Surveys, IEEE Journal on Emerging and Selected Topics in Circuits and Systems and SHILAP Revista de lepidopterología.
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.