Deepak Dhar
- Condensed Matter Physics top 0.2%
- Theoretical and Computational Physics 113
- Mathematical Physics top 0.2%
- Stochastic processes and statistical mechanics 70
- Mathematical Dynamics and Fractals 14
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- Complex Network Analysis Techniques 10
- Statistics and Probability top 1%
- Random Matrices and Applications 15
- Markov Chains and Monte Carlo Methods 9
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- Material Dynamics and Properties 23
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- Topological and Geometric Data Analysis 11
- Co-authors
- Satya N. MajumdarRamakrishna RamaswamyMustansir BarmaR. RajeshAbhishek DharJames P. SethnaPrabodh ShuklaKabir Ramola
- Journals
- Physical Review Letters (23 papers)Physica A Statistical Mechanics and its Applications (13 papers)Physical review. E (12 papers)
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Deepak Dhar
136 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Condensed Matter Physics 3.1k
- Mathematical Physics 1.8k
- Statistical and Nonlinear Physics 766
- Discrete Mathematics and Combinatorics 148
- Statistics and Probability 321
Countries citing papers authored by Deepak Dhar
This map shows the geographic impact of Deepak Dhar'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 Deepak Dhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Dhar more than expected).
Fields of papers citing papers by Deepak Dhar
This network shows the impact of papers produced by Deepak Dhar. 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 Deepak Dhar. The network helps show where Deepak Dhar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepak Dhar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 1 | |
| 7 | 2018 | 8 | |
| 8 | 2016 | 24 | |
| 9 | 2015 | 30 | |
| 10 | 2012 | 28 | |
| 11 | 2012 | 16 | |
| 12 | 2012 | 15 | |
| 13 | 2012 | 7 | |
| 14 | 2010 | 23 | |
| 15 | 2009 | 1 | |
| 16 | 2007 | 21 | |
| 17 | 2006 | 39 | |
| 18 | 2005 | 8 | |
| 19 | 2002 | 42 | |
| 20 | 1982 | 8 |
About Deepak Dhar
Deepak Dhar is a scholar working on Condensed Matter Physics, Mathematical Physics, Statistics and Probability, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 143 papers that have together received 4.2k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (113 papers), Stochastic processes and statistical mechanics (70 papers), Material Dynamics and Properties (23 papers), Random Matrices and Applications (15 papers), Mathematical Dynamics and Fractals (14 papers), Topological and Geometric Data Analysis (11 papers), Complex Network Analysis Techniques (10 papers) and Markov Chains and Monte Carlo Methods (9 papers). The work is most often cited by research in Condensed Matter Physics (3.1k citations), Mathematical Physics (1.8k citations), Statistical and Nonlinear Physics (766 citations), Discrete Mathematics and Combinatorics (148 citations) and Statistics and Probability (321 citations). Deepak Dhar has collaborated with scholars based in India, United States and France. Frequent co-authors include Satya N. Majumdar, Ramakrishna Ramaswamy, Mustansir Barma, R. Rajesh, Abhishek Dhar, James P. Sethna, Prabodh Shukla, Kabir Ramola, M. Kalyan Phani and S. S. Manna. Their work appears in journals such as Physical Review Letters, Physica A Statistical Mechanics and its Applications, Physical review. E, Journal of Statistical Physics 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.