Aparna Baskaran
Impact in
- Condensed Matter Physics top 0.5%
- Micro and Nano Robotics
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics
Papers in
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- Micro and Nano Robotics 46
-
- Advanced Thermodynamics and Statistical Mechanics 20
- Co-authors
- M. Cristina MarchettiMichael F. HaganGabriel S. RednerYaouen FilyShradha MishraZhihong YouMehran KardarAlexandre Solon
- Journals
- Soft Matter (11 papers)Physical Review Letters (6 papers)Proceedings of the National Academy of Sciences (4 papers)Physical review. E (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Aparna Baskaran
58 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Condensed Matter Physics 2.8k
- Statistical and Nonlinear Physics 1.3k
- Materials Chemistry 1.1k
- Biomedical Engineering 939
- Mechanical Engineering 694
Countries citing papers authored by Aparna Baskaran
This map shows the geographic impact of Aparna Baskaran'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 Aparna Baskaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aparna Baskaran more than expected).
Fields of papers citing papers by Aparna Baskaran
This network shows the impact of papers produced by Aparna Baskaran. 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 Aparna Baskaran. The network helps show where Aparna Baskaran may publish in the future.
Co-authors
The 25 scholars most cited alongside Aparna Baskaran, 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 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 23 | |
| 10 | 2022 | 10 | |
| 11 | 2018 | 62 | |
| 12 | 2017 | 4 | |
| 13 | 2015 | 66 | |
| 14 | 2015 | 7 | |
| 15 | 2015 | 29 | |
| 16 | What is the Pressure of an Active Particle Fluid | 2014 | 2 |
| 17 | 2012 | 29 | |
| 18 | 2008 | 22 | |
| 19 | 2008 | 21 | |
| 20 | 2004 | 17 |
About Aparna Baskaran
Aparna Baskaran is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Mechanical Engineering, Materials Chemistry and Computational Mechanics, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include Micro and Nano Robotics (46 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers), Pickering emulsions and particle stabilization (15 papers), Advanced Materials and Mechanics (10 papers), Modular Robots and Swarm Intelligence (9 papers), Molecular Communication and Nanonetworks (9 papers), Lipid Membrane Structure and Behavior (5 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Condensed Matter Physics (2.8k citations), Statistical and Nonlinear Physics (1.3k citations), Materials Chemistry (1.1k citations), Biomedical Engineering (939 citations) and Mechanical Engineering (694 citations). Aparna Baskaran has collaborated with scholars based in United States, India and France. Frequent co-authors include M. Cristina Marchetti, Michael F. Hagan, Gabriel S. Redner, Yaouen Fily, Shradha Mishra, Zhihong You, Mehran Kardar, Alexandre Solon, Yariv Kafri and Julien Tailleur. Their work appears in journals such as Soft Matter, Physical Review Letters, Proceedings of the National Academy of Sciences, Physical review. E and Nature Communications.
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.