Arijit Maitra
Impact in
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- Conducting polymers and applications
Papers in
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- Microbial Metabolic Engineering and Bioproduction 3
- Machine Learning in Bioinformatics 1
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- Advanced Battery Materials and Technologies 2
- Molecular Junctions and Nanostructures 2
- Co-authors
- Andreas Heuer (2 shared papers)Ken A. Dill (3 shared papers)Gaurav Arya (3 shared papers)Sergei A. Grigoryev (1 shared paper)Bipin Singh (2 shared papers)
- Journals
- Physical Review Letters (2 papers)Biophysical Journal (2 papers)Journal of Biomolecular Structure and Dynamics (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Arijit Maitra
10 papers receiving 409 citations
Peers
Comparison fields: 5 of 81
- Polymers and Plastics 81
- Catalysis 28
- Structural Biology 5
- Automotive Engineering 39
- Physical and Theoretical Chemistry 29
Countries citing papers authored by Arijit Maitra
This map shows the geographic impact of Arijit Maitra'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 Arijit Maitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arijit Maitra more than expected).
Fields of papers citing papers by Arijit Maitra
This network shows the impact of papers produced by Arijit Maitra. 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 Arijit Maitra. The network helps show where Arijit Maitra may publish in the future.
Co-authors
The 5 scholars most cited alongside Arijit Maitra, 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 | 2007 | 147 | |
| 2 | 2014 | 118 | |
| 3 | 2010 | 46 | |
| 4 | 2010 | 42 | |
| 5 | 2010 | 24 | |
| 6 | 2008 | 24 | |
| 7 | 2016 | 10 | |
| 8 | 2024 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2022 | 0 |
About Arijit Maitra
Arijit Maitra is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 11 papers that have together received 416 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Electrostatics and Colloid Interactions (2 papers), Advanced Battery Materials and Technologies (2 papers), Material Dynamics and Properties (2 papers), Mechanical and Optical Resonators (2 papers), Molecular Junctions and Nanostructures (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Polymers and Plastics (81 citations), Catalysis (28 citations), Structural Biology (5 citations), Automotive Engineering (39 citations) and Physical and Theoretical Chemistry (29 citations). Arijit Maitra has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andreas Heuer, Ken A. Dill, Gaurav Arya, Sergei A. Grigoryev and Bipin Singh. Their work appears in journals such as Physical Review Letters, Biophysical Journal, Journal of Biomolecular Structure and Dynamics, Proceedings of the National Academy of Sciences and The Journal of Physical Chemistry B.
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.