M. Malshe
Impact in
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
- Quantum, superfluid, helium dynamics
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- Computational Drug Discovery Methods
Papers in
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- Advanced Chemical Physics Studies 8
- Spectroscopy and Quantum Chemical Studies 4
- Force Microscopy Techniques and Applications 2
- Surface and Thin Film Phenomena 1
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- Machine Learning in Materials Science 8
- Co-authors
- R. Komanduri (11 shared papers)Lionel M. Raff (10 shared papers)Martin Hagan (8 shared papers)Satish Bukkapatnam (7 shared papers)Mark G. Rockley (2 shared papers)R. Narulkar (4 shared papers)Paras M. Agrawal (4 shared papers)Hui Yang (2 shared papers)
- Journals
- The Journal of Chemical Physics (7 papers)Physical Review B (1 paper)The Journal of Physical Chemistry A (1 paper)Journal of Electrocardiology (2 papers)
- Partner nations
- United States
In The Last Decade
M. Malshe
11 papers receiving 492 citations
Peers
Comparison fields: 5 of 62
- Atomic and Molecular Physics, and Optics 227
- Computational Theory and Mathematics 103
- Materials Chemistry 301
- Physical and Theoretical Chemistry 39
- Cardiology and Cardiovascular Medicine 66
Countries citing papers authored by M. Malshe
This map shows the geographic impact of M. Malshe'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 M. Malshe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Malshe more than expected).
Fields of papers citing papers by M. Malshe
This network shows the impact of papers produced by M. Malshe. 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 M. Malshe. The network helps show where M. Malshe may publish in the future.
Co-authors
The 11 scholars most cited alongside M. Malshe, 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 | 2005 | 134 | |
| 2 | 2009 | 103 | |
| 3 | 2009 | 59 | |
| 4 | 2007 | 52 | |
| 5 | 2009 | 52 | |
| 6 | 2008 | 36 | |
| 7 | 2006 | 20 | |
| 8 | 2008 | 18 | |
| 9 | 2009 | 12 | |
| 10 | 2009 | 10 | |
| 11 | 2010 | 6 |
About M. Malshe
M. Malshe is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Cardiology and Cardiovascular Medicine, Physical and Theoretical Chemistry and Computational Theory and Mathematics, having authored 11 papers that have together received 502 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Advanced Chemical Physics Studies (8 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Force Microscopy Techniques and Applications (2 papers), ECG Monitoring and Analysis (2 papers), Advanced Physical and Chemical Molecular Interactions (2 papers), Computational Drug Discovery Methods (1 paper) and Surface and Thin Film Phenomena (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (227 citations), Computational Theory and Mathematics (103 citations), Materials Chemistry (301 citations), Physical and Theoretical Chemistry (39 citations) and Cardiology and Cardiovascular Medicine (66 citations). M. Malshe has collaborated with scholars based in United States. Frequent co-authors include R. Komanduri, Lionel M. Raff, Martin Hagan, Satish Bukkapatnam, Mark G. Rockley, R. Narulkar, Paras M. Agrawal, Hui Yang, Bruce Benjamin and Drew Dawson∥. Their work appears in journals such as The Journal of Chemical Physics, Physical Review B, The Journal of Physical Chemistry A and Journal of Electrocardiology.
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.