Arnab Sarker
Impact in
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- Complex Network Analysis Techniques
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- Intimate Partner and Family Violence
Papers in
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- Complex Network Analysis Techniques 2
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- Coding theory and cryptography 1
- Co-authors
- Ali Jadbabaie (3 shared papers)Peter Fisher (1 shared paper)Anuradha M. Annaswamy (1 shared paper)Jessica M. Sales (1 shared paper)Devavrat Shah (2 shared papers)Jonathan Gruber (1 shared paper)Sam Asher (1 shared paper)Luís M. A. Bettencourt (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Scientific Reports (1 paper)Journal of Sports Economics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Partner Abuse (1 paper)
- Partner nations
- United StatesBangladeshIndia
In The Last Decade
Arnab Sarker
6 papers receiving 21 citations
Peers
Comparison fields: 5 of 23
- Statistical and Nonlinear Physics 6
- Health 4
- Modeling and Simulation 2
- Control and Systems Engineering 7
- Software 1
Countries citing papers authored by Arnab Sarker
This map shows the geographic impact of Arnab Sarker'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 Arnab Sarker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Sarker more than expected).
Fields of papers citing papers by Arnab Sarker
This network shows the impact of papers produced by Arnab Sarker. 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 Arnab Sarker. The network helps show where Arnab Sarker may publish in the future.
Co-authors
The 15 scholars most cited alongside Arnab Sarker, 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 | 8 | |
| 2 | 2023 | 7 | |
| 3 | 2021 | 3 | |
| 4 | 2023 | 2 | |
| 5 | Adaptive Control of COVID-19 Outbreaks in India: Local, Gradual, and Trigger-based Exit Paths from Lockdown | 2020 | 1 |
| 6 | 2022 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2025 | 0 |
About Arnab Sarker
Arnab Sarker is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics, Modeling and Simulation and Computer Networks and Communications, having authored 9 papers that have together received 22 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Topological and Geometric Data Analysis (2 papers), COVID-19 epidemiological studies (2 papers), Advanced Malware Detection Techniques (1 paper), Advanced Control Systems Optimization (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Big Data and Business Intelligence (1 paper) and Coding theory and cryptography (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (6 citations), Health (4 citations), Modeling and Simulation (2 citations), Control and Systems Engineering (7 citations) and Software (1 citation). Arnab Sarker has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Ali Jadbabaie, Peter Fisher, Anuradha M. Annaswamy, Jessica M. Sales, Devavrat Shah, Jonathan Gruber, Sam Asher, Luís M. A. Bettencourt, Anette Hosoi and Anup Malani. Their work appears in journals such as Artificial Intelligence, Scientific Reports, Journal of Sports Economics, Proceedings of the National Academy of Sciences and Partner Abuse.
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.