Somnath Paul
- Electrical and Electronic Engineering top 5%
- Hardware and Architecture top 1%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Swarup BhuniaRajat Subhra ChakrabortyCharles AugustineEmre NeftciGeorgios DetorakisKaushik RoySeetharam NarasimhanC. Papachristou
- Topics
- Advanced Memory and Neural Computing (27 papers)Low-power high-performance VLSI design (18 papers)Parallel Computing and Optimization Techniques (11 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Somnath Paul
67 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Electrical and Electronic Engineering 1.1k
- Hardware and Architecture 654
- Artificial Intelligence 301
- Cellular and Molecular Neuroscience 278
- Cognitive Neuroscience 187
Countries citing papers authored by Somnath Paul
This map shows the geographic impact of Somnath Paul'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 Somnath Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somnath Paul more than expected).
Fields of papers citing papers by Somnath Paul
This network shows the impact of papers produced by Somnath Paul. 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 Somnath Paul. The network helps show where Somnath Paul may publish in the future.
Co-authorship network of co-authors of Somnath Paul
This figure shows the co-authorship network connecting the top 25 collaborators of Somnath Paul. A scholar is included among the top collaborators of Somnath Paul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Somnath Paul. Somnath Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 22 | |
| 5 | 4 | |
| 6 | 46 | |
| 7 | 164 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | MERO: A Statistical Approach for Hardware Trojan Detection | 1 |
| 12 | Nanoscale reconfigurable computing using non-volatile 2-D STTRAM array | 18 |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 6 |
About Somnath Paul
Somnath Paul is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Low-power high-performance VLSI design (18 papers) and Parallel Computing and Optimization Techniques (11 papers). The work is most often cited by research in Hardware and Architecture (654 citations), Electrical and Electronic Engineering (1.1k citations) and Cellular and Molecular Neuroscience (278 citations). Somnath Paul has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Swarup Bhunia, Rajat Subhra Chakraborty, Charles Augustine, Emre Neftci, Georgios Detorakis, Kaushik Roy, Seetharam Narasimhan, C. Papachristou, Francis Wolff and Saibal Mukhopadhyay. Their work appears in journals such as Communications of the ACM, Applied Energy and IEEE Journal of Solid-State Circuits.
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.