M. Mukherjee
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Materials Chemistry top 5%
- Advanced Nanomaterials in Catalysis
- Nanoparticles: synthesis and applications
Papers in
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- Quantum Dots Synthesis And Properties 11
- Material Dynamics and Properties 9
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- Organic Electronics and Photovoltaics 13
- Molecular Junctions and Nanostructures 11
- Co-authors
- Amarjeet Singh (6 shared papers)S. Mukherjee (9 shared papers)Pintu Sen (4 shared papers)S.K. Bandyopadhyay (2 shared papers)Brindaban C. Ranu (3 shared papers)Sujoy K. Das (2 shared papers)M. K. Sanyal (7 shared papers)Arun K. Guha (2 shared papers)
In The Last Decade
M. Mukherjee
132 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 121
- Polymers and Plastics 421
- Materials Chemistry 899
- Electronic, Optical and Magnetic Materials 335
- Management Science and Operations Research 214
- Surfaces, Coatings and Films 115
Countries citing papers authored by M. Mukherjee
This map shows the geographic impact of M. Mukherjee'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. Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mukherjee more than expected).
Fields of papers citing papers by M. Mukherjee
This network shows the impact of papers produced by M. Mukherjee. 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. Mukherjee. The network helps show where M. Mukherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Mukherjee, 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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2016 | 92 | |
| 3 | 2010 | 82 | |
| 4 | 2016 | 81 | |
| 5 | 2019 | 78 | |
| 6 | 2016 | 68 | |
| 7 | 2002 | 64 | |
| 8 | 2014 | 63 | |
| 9 | 2005 | 60 | |
| 10 | 2017 | 57 | |
| 11 | 2017 | 57 | |
| 12 | 2018 | 56 | |
| 13 | 2008 | 53 | |
| 14 | 2013 | 52 | |
| 15 | 2007 | 49 | |
| 16 | 2003 | 49 | |
| 17 | 2010 | 47 | |
| 18 | 2012 | 46 | |
| 19 | 2011 | 43 | |
| 20 | 1990 | 41 |
About M. Mukherjee
M. Mukherjee is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Management Science and Operations Research, Computational Theory and Mathematics and Polymers and Plastics, having authored 139 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fuzzy and Soft Set Theory (26 papers), Advanced Algebra and Logic (20 papers), Organic Electronics and Photovoltaics (13 papers), Quantum Dots Synthesis And Properties (11 papers), Molecular Junctions and Nanostructures (11 papers), Electron and X-Ray Spectroscopy Techniques (9 papers), Material Dynamics and Properties (9 papers) and Multi-Criteria Decision Making (8 papers). The work is most often cited by research in Polymers and Plastics (421 citations), Materials Chemistry (899 citations), Electronic, Optical and Magnetic Materials (335 citations), Management Science and Operations Research (214 citations) and Surfaces, Coatings and Films (115 citations). M. Mukherjee has collaborated with scholars based in India, Taiwan and France. Frequent co-authors include Amarjeet Singh, S. Mukherjee, Pintu Sen, S.K. Bandyopadhyay, Brindaban C. Ranu, Sujoy K. Das, M. K. Sanyal, Arun K. Guha, Nidhi Agnihotri and Amitabha De. Their work appears in journals such as Fuzzy Sets and Systems, Applied Surface Science, Langmuir, Macromolecules and Polymer.
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.