B. Srinivasu
Impact in
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Low-power high-performance VLSI design
- Advancements in Semiconductor Devices and Circuit Design
- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Radiation Effects in Electronics
Papers in
-
- Physical Unclonable Functions (PUFs) and Hardware Security 6
-
- Quantum-Dot Cellular Automata 7
- Co-authors
- K. SridharanAnupam ChattopadhyayVikramkumar PudiKwok‐Yan LamFarhad MerchantFaisal BashirFurqan ZahoorFawnizu Azmadi Hussin
In The Last Decade
B. Srinivasu
23 papers receiving 307 citations
Peers
Comparison fields: 5 of 26
- Hardware and Architecture 55
- Electrical and Electronic Engineering 279
- Computational Theory and Mathematics 75
- Biomedical Engineering 71
- Cellular and Molecular Neuroscience 23
Countries citing papers authored by B. Srinivasu
This map shows the geographic impact of B. Srinivasu'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 B. Srinivasu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Srinivasu more than expected).
Fields of papers citing papers by B. Srinivasu
This network shows the impact of papers produced by B. Srinivasu. 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 B. Srinivasu. The network helps show where B. Srinivasu may publish in the future.
Co-authors
The 17 scholars most cited alongside B. Srinivasu, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 20 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 40 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 2 | |
| 19 | 2018 | 13 | |
| 20 | 2017 | 75 |
About B. Srinivasu
B. Srinivasu is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 29 papers that have together received 322 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (10 papers), Advanced Memory and Neural Computing (9 papers), Neuroscience and Neural Engineering (8 papers), Quantum-Dot Cellular Automata (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Electrical and Electronic Engineering (279 citations), Computational Theory and Mathematics (75 citations), Biomedical Engineering (71 citations) and Cellular and Molecular Neuroscience (23 citations). B. Srinivasu has collaborated with scholars based in India, Singapore and Malaysia. Frequent co-authors include K. Sridharan, Anupam Chattopadhyay, Vikramkumar Pudi, Kwok‐Yan Lam, Farhad Merchant, Faisal Bashir, Furqan Zahoor, Fawnizu Azmadi Hussin, Usman Isyaku Bature and Haider Abbas. Their work appears in journals such as IEEE Transactions on Nanotechnology, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Aerospace and Electronic Systems, Discrete Applied Mathematics and IEEE Transactions on Circuits and Systems I Regular Papers.
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.