Prabuddha Chakraborty
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Condensed Matter Physics top 10%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence
- Co-authors
- Swarup BhuniaJonathan CruzTamzidul HoqueRichard T. ScalettarRobert ParkerLili DuShuo WangS. M. Girvin
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (17 papers)Integrated Circuits and Semiconductor Failure Analysis (13 papers)Neuroscience and Neural Engineering (11 papers)
- Partner nations
- United StatesIndiaPoland
In The Last Decade
Prabuddha Chakraborty
37 papers receiving 547 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 307
- Hardware and Architecture 233
- Condensed Matter Physics 125
- Atomic and Molecular Physics, and Optics 103
- Artificial Intelligence 89
Countries citing papers authored by Prabuddha Chakraborty
This map shows the geographic impact of Prabuddha Chakraborty'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 Prabuddha Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabuddha Chakraborty more than expected).
Fields of papers citing papers by Prabuddha Chakraborty
This network shows the impact of papers produced by Prabuddha Chakraborty. 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 Prabuddha Chakraborty. The network helps show where Prabuddha Chakraborty may publish in the future.
Co-authorship network of co-authors of Prabuddha Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Prabuddha Chakraborty. A scholar is included among the top collaborators of Prabuddha Chakraborty 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 Prabuddha Chakraborty. Prabuddha Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 96 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 89 | |
| 17 | 37 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 39 |
About Prabuddha Chakraborty
Prabuddha Chakraborty is a scholar working on Hardware and Architecture, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 559 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Integrated Circuits and Semiconductor Failure Analysis (13 papers) and Neuroscience and Neural Engineering (11 papers). The work is most often cited by research in Hardware and Architecture (233 citations), Condensed Matter Physics (125 citations) and Automotive Engineering (80 citations). Prabuddha Chakraborty has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Swarup Bhunia, Jonathan Cruz, Tamzidul Hoque, Richard T. Scalettar, Robert Parker, Lili Du, Shuo Wang, S. M. Girvin, P. Henelius and Anders W. Sandvik. Their work appears in journals such as Physical Review Letters, Physical Review B and Scientific Reports.
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.