Rashmi Agrawal
- Modeling and Simulation top 5%
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows 10
- Heat and Mass Transfer in Porous Media 4
- Software top 10%
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- Nanofluid Flow and Heat Transfer 21
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- Heat Transfer Mechanisms 17
- Heat Transfer and Optimization 8
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- Mathematical and Theoretical Epidemiology and Ecology Models 14
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- Evolution and Genetic Dynamics 13
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- EEG and Brain-Computer Interfaces 5
- Co-authors
- Ranjit Kumar UpadhyayDebaldev JanaAbhishek KumarAshutosh Kumar DubeyPoonam ChaudharyPriyanka RastogiVishal DuttV. Sree Hari Rao
- Journals
- Fractals (2 papers)Chaos Solitons & Fractals (2 papers)Numerical Heat Transfer Part A Applications (2 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Rashmi Agrawal
77 papers receiving 721 citations
Peers
Comparison fields: 5 of 109
- Modeling and Simulation 72
- Computer Science Applications 64
- Health Information Management 45
- Computational Mechanics 174
- Software 26
Countries citing papers authored by Rashmi Agrawal
This map shows the geographic impact of Rashmi Agrawal'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 Rashmi Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashmi Agrawal more than expected).
Fields of papers citing papers by Rashmi Agrawal
This network shows the impact of papers produced by Rashmi Agrawal. 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 Rashmi Agrawal. The network helps show where Rashmi Agrawal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rashmi Agrawal, 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 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 4 | |
| 11 | A Detailed Analysis of Core NLP for Information Extraction | 2018 | 1 |
| 12 | Emerging Threats to Security and Privacy in Brain Computer Interface | 2018 | 6 |
| 13 | 2018 | 5 | |
| 14 | 2016 | 3 | |
| 15 | 2014 | 4 | |
| 16 | 2013 | 6 | |
| 17 | 2012 | 12 | |
| 18 | 2012 | 5 | |
| 19 | 2012 | 1 | |
| 20 | 1980 | 11 |
About Rashmi Agrawal
Rashmi Agrawal is a scholar working on Modeling and Simulation, Software and Health Information Management, having authored 84 papers that have together received 785 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (21 papers), Heat Transfer Mechanisms (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (13 papers), Fluid Dynamics and Turbulent Flows (10 papers), Heat Transfer and Optimization (8 papers), EEG and Brain-Computer Interfaces (5 papers) and Heat and Mass Transfer in Porous Media (4 papers). The work is most often cited by research in Modeling and Simulation (72 citations), Computer Science Applications (64 citations) and Health Information Management (45 citations). Rashmi Agrawal has collaborated with scholars based in India, United States and China. Frequent co-authors include Ranjit Kumar Upadhyay, Debaldev Jana, Abhishek Kumar, Ashutosh Kumar Dubey, Poonam Chaudhary, Priyanka Rastogi, Vishal Dutt, V. Sree Hari Rao, Rinkaj Goyal and Jagdev Singh. Their work appears in journals such as Fractals, Chaos Solitons & Fractals, Numerical Heat Transfer Part A Applications, Multimedia Tools and Applications and Journal of Engineering Physics and Thermophysics.
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.