Subhranu Samanta
Impact in
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Thin-Film Transistor Technologies
- Polymers and Plastics top 10%
- Transition Metal Oxide Nanomaterials
Papers in
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- Advanced Memory and Neural Computing 29
- Ferroelectric and Negative Capacitance Devices 26
- Semiconductor materials and devices 18
- Thin-Film Transistor Technologies 9
- Gas Sensing Nanomaterials and Sensors 4
- Co-authors
- S. MaikapXiao GongKaizhen HanDebanjan JanaWon Jong YooChengkuan WangChen SunHsin-Ming Cheng
In The Last Decade
Subhranu Samanta
43 papers receiving 971 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 947
- Polymers and Plastics 128
- Cellular and Molecular Neuroscience 163
- Materials Chemistry 390
- Bioengineering 23
Countries citing papers authored by Subhranu Samanta
This map shows the geographic impact of Subhranu Samanta'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 Subhranu Samanta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhranu Samanta more than expected).
Fields of papers citing papers by Subhranu Samanta
This network shows the impact of papers produced by Subhranu Samanta. 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 Subhranu Samanta. The network helps show where Subhranu Samanta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Subhranu Samanta, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 35 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 34 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 18 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 32 | |
| 15 | 2017 | 20 | |
| 16 | 2016 | 44 | |
| 17 | 2015 | 22 | |
| 18 | 2014 | 24 | |
| 19 | 2013 | 24 | |
| 20 | TEM Study on the Evolution of Ge Nanocrystals in Si Oxide Matrix as a Function of Ge Concentration and the Si Reduction Process | 2006 | 0 |
About Subhranu Samanta
Subhranu Samanta is a scholar working on Electrical and Electronic Engineering, Bioengineering, Materials Chemistry, Cellular and Molecular Neuroscience and Polymers and Plastics, having authored 47 papers that have together received 993 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (29 papers), Ferroelectric and Negative Capacitance Devices (26 papers), Semiconductor materials and devices (18 papers), Electronic and Structural Properties of Oxides (9 papers), Thin-Film Transistor Technologies (9 papers), Neuroscience and Neural Engineering (7 papers), Gas Sensing Nanomaterials and Sensors (4 papers) and Ferroelectric and Piezoelectric Materials (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (947 citations), Polymers and Plastics (128 citations), Cellular and Molecular Neuroscience (163 citations), Materials Chemistry (390 citations) and Bioengineering (23 citations). Subhranu Samanta has collaborated with scholars based in Singapore, Taiwan and India. Frequent co-authors include S. Maikap, Xiao Gong, Kaizhen Han, Debanjan Jana, Won Jong Yoo, Chengkuan Wang, Chen Sun, Hsin-Ming Cheng, Aaron Thean and Jian‐Tai Qiu. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Applied Physics Letters, Nanoscale Research Letters and Journal of Alloys and Compounds.
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.