Dhagash Mehta
- Nuclear and High Energy Physics top 10%
- Computational Theory and Mathematics top 5%
- Condensed Matter Physics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Michael KästnerJonathan D. HauensteinDavid J. WalesHung D. NguyenKonstantin TuritsynJon-Ivar SkullerudM. ManiatisSoumalya Sarkar
- Topics
- Particle physics theoretical and experimental studies (14 papers)Quantum Chromodynamics and Particle Interactions (14 papers)Black Holes and Theoretical Physics (13 papers)
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Dhagash Mehta
65 papers receiving 861 citations
Peers
Comparison fields: 5 of 83
- Nuclear and High Energy Physics 231
- Computational Theory and Mathematics 168
- Condensed Matter Physics 115
- Electrical and Electronic Engineering 112
- Statistical and Nonlinear Physics 110
Countries citing papers authored by Dhagash Mehta
This map shows the geographic impact of Dhagash Mehta'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 Dhagash Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhagash Mehta more than expected).
Fields of papers citing papers by Dhagash Mehta
This network shows the impact of papers produced by Dhagash Mehta. 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 Dhagash Mehta. The network helps show where Dhagash Mehta may publish in the future.
Co-authorship network of co-authors of Dhagash Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Dhagash Mehta. A scholar is included among the top collaborators of Dhagash Mehta 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 Dhagash Mehta. Dhagash Mehta 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 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | Phase transitions and gluodynamics in 2-colour matter at high
\ndensity | 42 |
| 14 | 17 | |
| 15 | 28 | |
| 16 | 17 | |
| 17 | 3 | |
| 18 | 25 | |
| 19 | 34 | |
| 20 | 6 |
About Dhagash Mehta
Dhagash Mehta is a scholar working on Computational Mathematics, Nuclear and High Energy Physics and Numerical Analysis, having authored 77 papers that have together received 879 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (14 papers), Quantum Chromodynamics and Particle Interactions (14 papers) and Black Holes and Theoretical Physics (13 papers). The work is most often cited by research in Nuclear and High Energy Physics (231 citations), Computational Mathematics (9 citations) and Numerical Analysis (68 citations). Dhagash Mehta has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael Kästner, Jonathan D. Hauenstein, David J. Wales, Hung D. Nguyen, Konstantin Turitsyn, Jon-Ivar Skullerud, M. Maniatis, Soumalya Sarkar, Yang‐Hui He and Markus Rummel. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.