Atanu Maity
Impact in
- Filtration and Separation top 10%
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- Ionic liquids properties and applications
Papers in
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- Protein Structure and Dynamics 10
- Lipid Membrane Structure and Behavior 5
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- Advanced machining processes and optimization 8
- Modular Robots and Swarm Intelligence 6
- Co-authors
- Rajarshi Chakrabarti (9 shared papers)Asit Baran Puri (8 shared papers)Mithilesh K. Dikshit (8 shared papers)Shubhra Ghosh Dastidar (11 shared papers)Chandra Verma (1 shared paper)Seema Yadav (1 shared paper)Abdul Ashik Khan (1 shared paper)Tanmoy Dutta (2 shared papers)
In The Last Decade
Atanu Maity
46 papers receiving 406 citations
Peers
Comparison fields: 5 of 85
- Filtration and Separation 22
- Catalysis 47
- Mechanical Engineering 138
- Industrial and Manufacturing Engineering 33
- Fluid Flow and Transfer Processes 16
Countries citing papers authored by Atanu Maity
This map shows the geographic impact of Atanu Maity'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 Atanu Maity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atanu Maity more than expected).
Fields of papers citing papers by Atanu Maity
This network shows the impact of papers produced by Atanu Maity. 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 Atanu Maity. The network helps show where Atanu Maity may publish in the future.
Co-authors
The 25 scholars most cited alongside Atanu Maity, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 32 | |
| 2 | 2021 | 26 | |
| 3 | 2016 | 23 | |
| 4 | 2014 | 22 | |
| 5 | 2016 | 16 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2014 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 2013 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2013 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2024 | 10 |
About Atanu Maity
Atanu Maity is a scholar working on Molecular Biology, Mechanical Engineering, Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 49 papers that have together received 414 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Advanced machining processes and optimization (8 papers), Modular Robots and Swarm Intelligence (6 papers), Advanced Machining and Optimization Techniques (6 papers), Soft Robotics and Applications (6 papers), Computational Drug Discovery Methods (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Advanced Surface Polishing Techniques (5 papers). The work is most often cited by research in Filtration and Separation (22 citations), Catalysis (47 citations), Mechanical Engineering (138 citations), Industrial and Manufacturing Engineering (33 citations) and Fluid Flow and Transfer Processes (16 citations). Atanu Maity has collaborated with scholars based in India, Singapore and Japan. Frequent co-authors include Rajarshi Chakrabarti, Asit Baran Puri, Mithilesh K. Dikshit, Shubhra Ghosh Dastidar, Chandra Verma, Seema Yadav, Abdul Ashik Khan, Tanmoy Dutta, Soumadwip Ghosh and Sayantani Chakraborty. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Machining Science and Technology, Journal of Molecular Graphics and Modelling, The Journal of Physical Chemistry B and Journal of Biomolecular Structure and Dynamics.
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.