Pranaw Rungta
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Carlton M. CavesMark HilleryG. J. MilburnVladimír BužekAshok AjoyChristopher A. FuchsShohini GhoseShantanu Debnath
- Topics
- Quantum Information and Cryptography (10 papers)Quantum Computing Algorithms and Architecture (9 papers)Quantum Mechanics and Applications (4 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Pranaw Rungta
10 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 923
- Atomic and Molecular Physics, and Optics 884
- Statistical and Nonlinear Physics 65
- Computational Theory and Mathematics 42
- Electrical and Electronic Engineering 18
Countries citing papers authored by Pranaw Rungta
This map shows the geographic impact of Pranaw Rungta'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 Pranaw Rungta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranaw Rungta more than expected).
Fields of papers citing papers by Pranaw Rungta
This network shows the impact of papers produced by Pranaw Rungta. 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 Pranaw Rungta. The network helps show where Pranaw Rungta may publish in the future.
Co-authorship network of co-authors of Pranaw Rungta
This figure shows the co-authorship network connecting the top 25 collaborators of Pranaw Rungta. A scholar is included among the top collaborators of Pranaw Rungta 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 Pranaw Rungta. Pranaw Rungta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 36 | |
| 3 | 71 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 40 | |
| 7 | 150 | |
| 8 | 59 | |
| 9 | Universal state inversion and concurrence in arbitrary dimensionsbreakdown → | 569 |
| 10 | 10 |
About Pranaw Rungta
Pranaw Rungta is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 10 papers that have together received 983 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Mechanics and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (923 citations), Atomic and Molecular Physics, and Optics (884 citations) and Statistical and Nonlinear Physics (65 citations). Pranaw Rungta has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Carlton M. Caves, Mark Hillery, G. J. Milburn, Vladimír Bužek, Ashok Ajoy, Christopher A. Fuchs, Shohini Ghose, Shantanu Debnath, R. Stock and Neil Sinclair. Their work appears in journals such as Physical Review Letters, Physical Review A and Physics Letters 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.