Siddhartha Das
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Mark M. WildeSumeet KhatriGeorge SiopsisJonathan P. DowlingArun Kumar PatiEneet KaurFrancesco BuscemiAndreas Winter
- Topics
- Quantum Information and Cryptography (19 papers)Quantum Computing Algorithms and Architecture (19 papers)Quantum Mechanics and Applications (17 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Partner nations
- United StatesIndiaBelgium
In The Last Decade
Siddhartha Das
19 papers receiving 301 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 278
- Atomic and Molecular Physics, and Optics 244
- Statistical and Nonlinear Physics 69
- Computational Theory and Mathematics 8
- Electrical and Electronic Engineering 7
Countries citing papers authored by Siddhartha Das
This map shows the geographic impact of Siddhartha Das'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 Siddhartha Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddhartha Das more than expected).
Fields of papers citing papers by Siddhartha Das
This network shows the impact of papers produced by Siddhartha Das. 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 Siddhartha Das. The network helps show where Siddhartha Das may publish in the future.
Co-authorship network of co-authors of Siddhartha Das
This figure shows the co-authorship network connecting the top 25 collaborators of Siddhartha Das. A scholar is included among the top collaborators of Siddhartha Das 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 Siddhartha Das. Siddhartha Das 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 33 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 43 | |
| 14 | 21 | |
| 15 | 31 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | 14 | |
| 19 | 13 | |
| 20 | 8 |
About Siddhartha Das
Siddhartha Das is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Mathematical Physics, having authored 22 papers that have together received 308 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (19 papers) and Quantum Mechanics and Applications (17 papers). The work is most often cited by research in Artificial Intelligence (278 citations), Atomic and Molecular Physics, and Optics (244 citations) and Statistical and Nonlinear Physics (69 citations). Siddhartha Das has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Mark M. Wilde, Sumeet Khatri, George Siopsis, Jonathan P. Dowling, Arun Kumar Pati, Eneet Kaur, Francesco Buscemi, Andreas Winter, Dipankar Home and Christian Weedbrook. Their work appears in journals such as Physical Review Letters, Physical Review A and Europhysics Letters (EPL).
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.