Arvind Gautam
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Human-Computer Interaction top 10%
Papers in
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- Material Dynamics and Properties 6
- Shape Memory Alloy Transformations 4
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- Muscle activation and electromyography studies 4
- Co-authors
- Amit Acharyya (10 shared papers)Madhuri Panwar (4 shared papers)Dwaipayan Biswas (3 shared papers)Gajendra P. S. Raghava (2 shared papers)Kumardeep Chaudhary (2 shared papers)Rahul Kumar (1 shared paper)Atul Tyagi (1 shared paper)Pallavi Kapoor (1 shared paper)
In The Last Decade
Arvind Gautam
36 papers receiving 810 citations
Peers
Comparison fields: 5 of 111
- Microbiology 107
- Human-Computer Interaction 40
- Biomedical Engineering 299
- Ceramics and Composites 34
- Cardiology and Cardiovascular Medicine 134
Countries citing papers authored by Arvind Gautam
This map shows the geographic impact of Arvind Gautam'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 Arvind Gautam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Gautam more than expected).
Fields of papers citing papers by Arvind Gautam
This network shows the impact of papers produced by Arvind Gautam. 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 Arvind Gautam. The network helps show where Arvind Gautam may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Gautam, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 169 | |
| 2 | 2012 | 165 | |
| 3 | 2009 | 95 | |
| 4 | 2020 | 86 | |
| 5 | 2014 | 69 | |
| 6 | 2020 | 49 | |
| 7 | 2012 | 39 | |
| 8 | 2021 | 20 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2012 | 5 | |
| 20 | 2023 | 4 |
About Arvind Gautam
Arvind Gautam is a scholar working on Materials Chemistry, Biomedical Engineering, Organic Chemistry, Polymers and Plastics and Surgery, having authored 36 papers that have together received 823 indexed citations. Recurring topics across this work include Material Dynamics and Properties (6 papers), Advanced Polymer Synthesis and Characterization (5 papers), Shape Memory Alloy Transformations (4 papers), Muscle activation and electromyography studies (4 papers), Theoretical and Computational Physics (3 papers), nanoparticles nucleation surface interactions (3 papers), Neuroscience and Neural Engineering (2 papers) and Polymer Nanocomposites and Properties (2 papers). The work is most often cited by research in Microbiology (107 citations), Human-Computer Interaction (40 citations), Biomedical Engineering (299 citations), Ceramics and Composites (34 citations) and Cardiology and Cardiovascular Medicine (134 citations). Arvind Gautam has collaborated with scholars based in India, Australia and Belgium. Frequent co-authors include Amit Acharyya, Madhuri Panwar, Dwaipayan Biswas, Gajendra P. S. Raghava, Kumardeep Chaudhary, Rahul Kumar, Atul Tyagi, Pallavi Kapoor, Harinder Singh and Avadhesh Kumar Yadav. Their work appears in journals such as Polymer Bulletin, Physica A Statistical Mechanics and its Applications, RSC Advances, Database and Journal of Statistical Physics.
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.