Arun Mitra
Impact in
- Modeling and Simulation top 10%
- Biomedical Engineering top 10%
- Fluid Dynamics and Mixing
- Innovative Microfluidic and Catalytic Techniques Innovation
Papers in
-
- COVID-19 epidemiological studies 4
-
- Fluid Dynamics and Heat Transfer 9
- Co-authors
- Prasanta Kumar DasGargi DasManindra Nath BiswasAdrija RoyArnab RoyArvind Kumar SinghDibyendu MukherjeeAbhijit Pakhare
- Journals
- The Canadian Journal of Chemical Engineering (10 papers)Applied Mathematics and Computation (4 papers)International Journal of Multiphase Flow (3 papers)Journal of Fluids Engineering (2 papers)International Journal of Chemical Reactor Engineering (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arun Mitra
67 papers receiving 668 citations
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 34
- Biomedical Engineering 299
- Computational Mechanics 134
- Statistical and Nonlinear Physics 64
- Mechanical Engineering 191
Countries citing papers authored by Arun Mitra
This map shows the geographic impact of Arun Mitra'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 Arun Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Mitra more than expected).
Fields of papers citing papers by Arun Mitra
This network shows the impact of papers produced by Arun Mitra. 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 Arun Mitra. The network helps show where Arun Mitra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arun Mitra, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 1 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 117 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 4 | |
| 17 | 2016 | 2 | |
| 18 | 2011 | 4 | |
| 19 | 2010 | 10 | |
| 20 | 1990 | 2 |
About Arun Mitra
Arun Mitra is a scholar working on Modeling and Simulation, Computational Mechanics, Otorhinolaryngology, Biomedical Engineering and Applied Microbiology and Biotechnology, having authored 73 papers that have together received 712 indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (17 papers), Fluid Dynamics and Heat Transfer (9 papers), Heat Transfer and Boiling Studies (8 papers), Nuclear Issues and Defense (6 papers), Minerals Flotation and Separation Techniques (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Diabetes Management and Education (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (34 citations), Biomedical Engineering (299 citations), Computational Mechanics (134 citations), Statistical and Nonlinear Physics (64 citations) and Mechanical Engineering (191 citations). Arun Mitra has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Prasanta Kumar Das, Gargi Das, Manindra Nath Biswas, Adrija Roy, Arnab Roy, Arvind Kumar Singh, Dibyendu Mukherjee, Abhijit Pakhare, Vishnu Radhakrishnan and Gautam Kundu. Their work appears in journals such as The Canadian Journal of Chemical Engineering, Applied Mathematics and Computation, International Journal of Multiphase Flow, Journal of Fluids Engineering and International Journal of Chemical Reactor Engineering.
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.