Arvind Pattamatta
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows 18
- Fluid Dynamics and Heat Transfer 16
- Fluid Dynamics and Thin Films 13
- Mechanical Engineering top 2%
- Heat Transfer Mechanisms 35
- Heat Transfer and Optimization 28
- Heat Transfer and Boiling Studies 22
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity 16
- Biomedical Engineering top 5%
- Nanofluid Flow and Heat Transfer 15
- Co-authors
- Pallab Sinha MahapatraSarit K. DasCyrus K. MadniaPeter StephanRamesh NarayanaswamyVantari SivaC. BalajiPurbarun Dhar
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Arvind Pattamatta
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 68
- Computational Mechanics 605
- Mechanical Engineering 823
- Surfaces, Coatings and Films 156
- Biomedical Engineering 508
- Renewable Energy, Sustainability and the Environment 134
Countries citing papers authored by Arvind Pattamatta
This map shows the geographic impact of Arvind Pattamatta'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 Pattamatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Pattamatta more than expected).
Fields of papers citing papers by Arvind Pattamatta
This network shows the impact of papers produced by Arvind Pattamatta. 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 Pattamatta. The network helps show where Arvind Pattamatta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arvind Pattamatta, 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 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 23 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 23 | |
| 17 | 2021 | 5 | |
| 18 | 2013 | 41 | |
| 19 | 2011 | 58 | |
| 20 | Modeling Thermal Transport in Two-dimensional Nanocomposites | 2006 | 1 |
About Arvind Pattamatta
Arvind Pattamatta is a scholar working on Computational Mechanics, Surfaces, Coatings and Films and Mechanical Engineering, having authored 104 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (35 papers), Heat Transfer and Optimization (28 papers), Heat Transfer and Boiling Studies (22 papers), Fluid Dynamics and Turbulent Flows (18 papers), Surface Modification and Superhydrophobicity (16 papers), Fluid Dynamics and Heat Transfer (16 papers), Nanofluid Flow and Heat Transfer (15 papers) and Fluid Dynamics and Thin Films (13 papers). The work is most often cited by research in Computational Mechanics (605 citations), Mechanical Engineering (823 citations) and Surfaces, Coatings and Films (156 citations). Arvind Pattamatta has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Pallab Sinha Mahapatra, Sarit K. Das, Sarit K. Das, Cyrus K. Madnia, Peter Stephan, Ramesh Narayanaswamy, Vantari Siva, C. Balaji, Purbarun Dhar and V. Siva. Their work appears in journals such as Nature Communications, Applied Physics Letters and Langmuir.
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.