Shankar Bhamidi
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Stochastic processes and statistical mechanics 36
-
- Complex Network Analysis Techniques 37
- Opinion Dynamics and Social Influence 9
- Co-authors
- Remco van der HofstadAllan SlyGerard HooghiemstraGuy BreslerAmarjit BudhirajaJohan S. H. van LeeuwaardenJames WilsonAndrew B. Nobel
- Journals
- Random Structures and Algorithms (6 papers)Probability Theory and Related Fields (6 papers)The Annals of Applied Probability (6 papers)Electronic Journal of Probability (4 papers)Journal of Computational and Graphical Statistics (3 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Shankar Bhamidi
47 papers receiving 438 citations
Peers
Comparison fields: 5 of 75
- Mathematical Physics 246
- Statistical and Nonlinear Physics 230
- Statistics and Probability 150
- Discrete Mathematics and Combinatorics 33
- Geometry and Topology 47
Countries citing papers authored by Shankar Bhamidi
This map shows the geographic impact of Shankar Bhamidi'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 Shankar Bhamidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shankar Bhamidi more than expected).
Fields of papers citing papers by Shankar Bhamidi
This network shows the impact of papers produced by Shankar Bhamidi. 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 Shankar Bhamidi. The network helps show where Shankar Bhamidi may publish in the future.
Co-authors
The 25 scholars most cited alongside Shankar Bhamidi, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 18 | |
| 10 | Intertemporal Community Detection in Bikeshare Networks | 2019 | 1 |
| 11 | 2017 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 2 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 3 | |
| 17 | 2013 | 14 | |
| 18 | 2011 | 27 | |
| 19 | 2010 | 7 | |
| 20 | 2009 | 2 |
About Shankar Bhamidi
Shankar Bhamidi is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Statistics and Probability, Discrete Mathematics and Combinatorics and Condensed Matter Physics, having authored 54 papers that have together received 463 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (37 papers), Stochastic processes and statistical mechanics (36 papers), Markov Chains and Monte Carlo Methods (17 papers), Opinion Dynamics and Social Influence (9 papers), Theoretical and Computational Physics (9 papers), Random Matrices and Applications (7 papers), Graph theory and applications (4 papers) and Topological and Geometric Data Analysis (4 papers). The work is most often cited by research in Mathematical Physics (246 citations), Statistical and Nonlinear Physics (230 citations), Statistics and Probability (150 citations), Discrete Mathematics and Combinatorics (33 citations) and Geometry and Topology (47 citations). Shankar Bhamidi has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Remco van der Hofstad, Allan Sly, Gerard Hooghiemstra, Guy Bresler, Amarjit Budhiraja, Johan S. H. van Leeuwaarden, James Wilson, Andrew B. Nobel, Ruoyu Wu and Nikhil Kaza. Their work appears in journals such as Random Structures and Algorithms, Probability Theory and Related Fields, The Annals of Applied Probability, Electronic Journal of Probability and Journal of Computational and Graphical Statistics.
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.