Chandreswar Mahata
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- Neuroscience and Neural Engineering 38
- Photoreceptor and optogenetics research 16
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- Advanced Memory and Neural Computing 75
- Ferroelectric and Negative Capacitance Devices 42
- Semiconductor materials and devices 24
- Polymers and Plastics top 2%
- Transition Metal Oxide Nanomaterials 14
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 14
- Materials Chemistry top 10%
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- Neural Networks and Reservoir Computing 9
- Co-authors
- Sungjun KimMuhammad IsmailMyounggon KangTaeyoon LeeJiho RyuHassan AlgadiJaehong LeeFayyaz Hussain
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- Advanced Materials (1 paper)The Journal of Chemical Physics (3 papers)Applied Physics Letters (2 papers)
- Partner nations
- South KoreaPakistanSingapore
In The Last Decade
Chandreswar Mahata
105 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 1.1k
- Electrical and Electronic Engineering 2.7k
- Polymers and Plastics 552
- Cognitive Neuroscience 395
- Materials Chemistry 645
Countries citing papers authored by Chandreswar Mahata
This map shows the geographic impact of Chandreswar Mahata'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 Chandreswar Mahata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandreswar Mahata more than expected).
Fields of papers citing papers by Chandreswar Mahata
This network shows the impact of papers produced by Chandreswar Mahata. 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 Chandreswar Mahata. The network helps show where Chandreswar Mahata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chandreswar Mahata, 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 | 2024 | 8 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 35 | |
| 9 | 2023 | 21 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 17 | |
| 15 | 2021 | 66 | |
| 16 | 2020 | 54 | |
| 17 | 2020 | 68 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 21 | |
| 20 | 2014 | 21 |
About Chandreswar Mahata
Chandreswar Mahata is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 106 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (75 papers), Ferroelectric and Negative Capacitance Devices (42 papers), Neuroscience and Neural Engineering (38 papers), Semiconductor materials and devices (24 papers), Photoreceptor and optogenetics research (16 papers), Neural dynamics and brain function (14 papers), Transition Metal Oxide Nanomaterials (14 papers) and Neural Networks and Reservoir Computing (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Electrical and Electronic Engineering (2.7k citations) and Polymers and Plastics (552 citations). Chandreswar Mahata has collaborated with scholars based in South Korea, Pakistan and Singapore. Frequent co-authors include Sungjun Kim, Muhammad Ismail, Myounggon Kang, Taeyoon Lee, Jiho Ryu, Hassan Algadi, Jaehong Lee, Fayyaz Hussain, Changhwan Choi and Shaochuan Chen. Their work appears in journals such as Advanced Materials, The Journal of Chemical Physics 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.