Rituparno Mandal
- Condensed Matter Physics top 5%
- Micro and Nano Robotics 12
- Theoretical and Computational Physics 2
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- Advanced Thermodynamics and Statistical Mechanics 6
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- Material Dynamics and Properties 14
- Pickering emulsions and particle stabilization 4
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- Rheology and Fluid Dynamics Studies 2
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- Modular Robots and Swarm Intelligence 1
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- Force Microscopy Techniques and Applications 1
- Co-authors
- Peter SollichMadan RaoChandan DasguptaPranab Jyoti BhuyanNir S. GovSaroj Kumar NandiPinaki ChaudhuriRobert L. Jack
- Journals
- Physical review. E (4 papers)Nature Communications (2 papers)Journal of Physics Condensed Matter (2 papers)
- Partner nations
- GermanyUnited KingdomIndia
In The Last Decade
Rituparno Mandal
15 papers receiving 262 citations
Peers
Comparison fields: 5 of 53
- Condensed Matter Physics 176
- Statistical and Nonlinear Physics 102
- Materials Chemistry 148
- Acoustics and Ultrasonics 2
- Ceramics and Composites 8
Countries citing papers authored by Rituparno Mandal
This map shows the geographic impact of Rituparno Mandal'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 Rituparno Mandal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rituparno Mandal more than expected).
Fields of papers citing papers by Rituparno Mandal
This network shows the impact of papers produced by Rituparno Mandal. 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 Rituparno Mandal. The network helps show where Rituparno Mandal may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Rituparno Mandal, 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 | 5 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 33 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 0 | |
| 14 | 2018 | 60 | |
| 15 | 2018 | 0 | |
| 16 | 2017 | 19 | |
| 17 | 2016 | 50 |
About Rituparno Mandal
Rituparno Mandal is a scholar working on Condensed Matter Physics, Archeology and Statistical and Nonlinear Physics, having authored 17 papers that have together received 266 indexed citations. Recurring topics across this work include Material Dynamics and Properties (14 papers), Micro and Nano Robotics (12 papers), Advanced Thermodynamics and Statistical Mechanics (6 papers), Pickering emulsions and particle stabilization (4 papers), Rheology and Fluid Dynamics Studies (2 papers), Theoretical and Computational Physics (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Condensed Matter Physics (176 citations), Statistical and Nonlinear Physics (102 citations) and Materials Chemistry (148 citations). Rituparno Mandal has collaborated with scholars based in Germany, United Kingdom and India. Frequent co-authors include Peter Sollich, Madan Rao, Chandan Dasgupta, Pranab Jyoti Bhuyan, Nir S. Gov, Saroj Kumar Nandi, Pinaki Chaudhuri, Robert L. Jack, Shashi Thutupalli and Ludovic Berthier. Their work appears in journals such as Physical review. E, Nature Communications, Journal of Physics Condensed Matter, Soft Matter and Proceedings of the National Academy of Sciences.
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.