Samyadeb Bhattacharya
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Co-authors
- Arun Kumar PatiAvijit MisraSubhashish BanerjeeA. S. MajumdarUttam SinghSisir RoyUjjwal SenAditi Sen
- Topics
- Quantum Information and Cryptography (20 papers)Quantum Mechanics and Applications (14 papers)Quantum Computing Algorithms and Architecture (12 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysical Review A
In The Last Decade
Samyadeb Bhattacharya
26 papers receiving 302 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 259
- Atomic and Molecular Physics, and Optics 242
- Statistical and Nonlinear Physics 112
- Cognitive Neuroscience 15
- Electrical and Electronic Engineering 12
Countries citing papers authored by Samyadeb Bhattacharya
This map shows the geographic impact of Samyadeb Bhattacharya'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 Samyadeb Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samyadeb Bhattacharya more than expected).
Fields of papers citing papers by Samyadeb Bhattacharya
This network shows the impact of papers produced by Samyadeb Bhattacharya. 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 Samyadeb Bhattacharya. The network helps show where Samyadeb Bhattacharya may publish in the future.
Co-authorship network of co-authors of Samyadeb Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Samyadeb Bhattacharya. A scholar is included among the top collaborators of Samyadeb Bhattacharya 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 Samyadeb Bhattacharya. Samyadeb Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | Resource theory of non-Markovianity: A thermodynamic perspective | 3 |
| 15 | 23 | |
| 16 | 61 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 1 |
About Samyadeb Bhattacharya
Samyadeb Bhattacharya is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 30 papers that have together received 308 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (20 papers), Quantum Mechanics and Applications (14 papers) and Quantum Computing Algorithms and Architecture (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (112 citations), Artificial Intelligence (259 citations) and Atomic and Molecular Physics, and Optics (242 citations). Samyadeb Bhattacharya has collaborated with scholars based in India, Japan and Spain. Frequent co-authors include Arun Kumar Pati, Avijit Misra, Subhashish Banerjee, A. S. Majumdar, Uttam Singh, Sisir Roy, Ujjwal Sen, Aditi Sen, Subhadip Mitra and S. Datta. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review A.
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.