Suraj Nair
- Computational Mechanics top 2%
- Fluid Flow and Transfer Processes top 2%
- Safety, Risk, Reliability and Quality top 2%
- Aerospace Engineering top 10%
- Social Psychology top 10%
- Co-authors
- Tim LieuwenYedidia NeumeierJerry SeitzmanPhilip ResnikT. M. MuruganandamAyah ZiriklyHal DauméJeff Jagoda
- Topics
- Combustion and flame dynamics (12 papers)Topic Modeling (7 papers)Wind and Air Flow Studies (6 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsSafety, Risk, Reliability and Quality
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Suraj Nair
41 papers receiving 864 citations
Peers
Comparison fields: 5 of 86
- Computational Mechanics 476
- Fluid Flow and Transfer Processes 276
- Safety, Risk, Reliability and Quality 176
- Aerospace Engineering 158
- Social Psychology 134
Countries citing papers authored by Suraj Nair
This map shows the geographic impact of Suraj Nair'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 Suraj Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Nair more than expected).
Fields of papers citing papers by Suraj Nair
This network shows the impact of papers produced by Suraj Nair. 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 Suraj Nair. The network helps show where Suraj Nair may publish in the future.
Co-authorship network of co-authors of Suraj Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Nair. A scholar is included among the top collaborators of Suraj Nair based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suraj Nair. Suraj Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 34 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Combine and Re-Rank: The University of Maryland at the TREC 2020 Podcasts Track. | 1 |
| 11 | 10 | |
| 12 | 140 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | Visual Tracking of Multiple Humans with Machine Learning based Robustness Enhancement applied to Real-World Robotic Systems | 1 |
| 16 | 135 | |
| 17 | 15 | |
| 18 | 93 | |
| 19 | 13 | |
| 20 | 8 |
About Suraj Nair
Suraj Nair is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Environmental Engineering, having authored 42 papers that have together received 910 indexed citations. Recurring topics across this work include Combustion and flame dynamics (12 papers), Topic Modeling (7 papers) and Wind and Air Flow Studies (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (276 citations), Computational Mechanics (476 citations) and Safety, Risk, Reliability and Quality (176 citations). Suraj Nair has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Tim Lieuwen, Yedidia Neumeier, Jerry Seitzman, Philip Resnik, T. M. Muruganandam, Ayah Zirikly, Hal Daumé, Jeff Jagoda, Alois Knoll and David Scarborough. Their work appears in journals such as Psychiatry Research, Proceedings of the Combustion Institute and Journal of Propulsion and Power.
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.