Saeed Osat
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Advanced Thermodynamics and Statistical Mechanics
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- Micro and Nano Robotics
- Theoretical and Computational Physics
Papers in
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- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 3
- Advanced Thermodynamics and Statistical Mechanics 1
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- Diffusion and Search Dynamics 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Ramin Golestanian (4 shared papers)Filippo Radicchi (4 shared papers)N. Azimi-Tafreshi (1 shared paper)Mehran Kardar (1 shared paper)S. N. Dorogovt︠s︡ev (1 shared paper)Fragkiskos Papadopoulos (1 shared paper)James P. Gleeson (1 shared paper)Jacob Biamonte (1 shared paper)
- Journals
- Physical review. E (2 papers)Physical Review Letters (2 papers)The Journal of Chemical Physics (2 papers)Nature Nanotechnology (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- RussiaUnited StatesGermany
In The Last Decade
Saeed Osat
10 papers receiving 138 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 69
- Condensed Matter Physics 52
- Computational Theory and Mathematics 12
- Transportation 5
- Modeling and Simulation 3
Countries citing papers authored by Saeed Osat
This map shows the geographic impact of Saeed Osat'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 Saeed Osat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Osat more than expected).
Fields of papers citing papers by Saeed Osat
This network shows the impact of papers produced by Saeed Osat. 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 Saeed Osat. The network helps show where Saeed Osat may publish in the future.
Co-authors
The 9 scholars most cited alongside Saeed Osat, 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 | 2022 | 53 | |
| 2 | 2018 | 34 | |
| 3 | 2024 | 17 | |
| 4 | 2019 | 11 | |
| 5 | 2023 | 10 | |
| 6 | 2019 | 8 | |
| 7 | 2025 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2021 | 1 |
About Saeed Osat
Saeed Osat is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Condensed Matter Physics, Cognitive Neuroscience and Materials Chemistry, having authored 10 papers that have together received 139 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Micro and Nano Robotics (3 papers), Opinion Dynamics and Social Influence (3 papers), Theoretical and Computational Physics (2 papers), Diffusion and Search Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), Material Dynamics and Properties (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (69 citations), Condensed Matter Physics (52 citations), Computational Theory and Mathematics (12 citations), Transportation (5 citations) and Modeling and Simulation (3 citations). Saeed Osat has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Ramin Golestanian, Filippo Radicchi, N. Azimi-Tafreshi, Mehran Kardar, S. N. Dorogovt︠s︡ev, Fragkiskos Papadopoulos, James P. Gleeson, Jacob Biamonte and Dmitry V. Dylov. Their work appears in journals such as Physical review. E, Physical Review Letters, The Journal of Chemical Physics, Nature Nanotechnology and Physica A Statistical Mechanics and its Applications.
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.