Sameet Sreenivasan
- Statistical and Nonlinear Physics top 2%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Condensed Matter Physics top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- H. Eugene StanleyIla FieteGerald PaulReuven CohenDon R. BakerEduardo LópezG. KornissBolesław K. Szymański
- Topics
- Complex Network Analysis Techniques (17 papers)Opinion Dynamics and Social Influence (15 papers)Theoretical and Computational Physics (5 papers)
- Partner nations
- United StatesIsraelArgentina
In The Last Decade
Sameet Sreenivasan
21 papers receiving 685 citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 377
- Cognitive Neuroscience 139
- Computer Networks and Communications 134
- Condensed Matter Physics 82
- Cellular and Molecular Neuroscience 81
Countries citing papers authored by Sameet Sreenivasan
This map shows the geographic impact of Sameet Sreenivasan'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 Sameet Sreenivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameet Sreenivasan more than expected).
Fields of papers citing papers by Sameet Sreenivasan
This network shows the impact of papers produced by Sameet Sreenivasan. 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 Sameet Sreenivasan. The network helps show where Sameet Sreenivasan may publish in the future.
Co-authorship network of co-authors of Sameet Sreenivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Sameet Sreenivasan. A scholar is included among the top collaborators of Sameet Sreenivasan 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 Sameet Sreenivasan. Sameet Sreenivasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 37 | |
| 4 | 25 | |
| 5 | Sequential detection of temporal communities in evolving networks by estrangement confinement | 1 |
| 6 | 24 | |
| 7 | 46 | |
| 8 | On the Influence of Committed Minorities on Social Consensus | 1 |
| 9 | 130 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 107 | |
| 13 | 9 | |
| 14 | 31 | |
| 15 | 54 | |
| 16 | The Optimal Path in an Erd˝ os-Renyi Random Graph | 3 |
| 17 | 30 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 110 |
About Sameet Sreenivasan
Sameet Sreenivasan is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Geometry and Topology, having authored 21 papers that have together received 710 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (15 papers) and Theoretical and Computational Physics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (377 citations), Cognitive Neuroscience (139 citations) and Condensed Matter Physics (82 citations). Sameet Sreenivasan has collaborated with scholars based in United States, Israel and Argentina. Frequent co-authors include H. Eugene Stanley, Ila Fiete, Gerald Paul, Reuven Cohen, Don R. Baker, Eduardo López, G. Korniss, Bolesław K. Szymański, Shlomo Havlin and Zoltán Toroczkai. Their work appears in journals such as Physical Review Letters, Nature Neuroscience and PLoS ONE.
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.