Preethi Nair
- Astronomy and Astrophysics top 5%
- Instrumentation top 2%
- Computer Vision and Pattern Recognition top 10%
- Ecology
- Nuclear and High Energy Physics
- Co-authors
- Roberto AbrahamSidney van den BerghSara L. EllisonDavid R. PattonLuc SimardJ. Trevor MendelJillian M. ScudderHsiao‐Wen Chen
- Topics
- Galaxies: Formation, Evolution, Phenomena (19 papers)Astronomy and Astrophysical Research (11 papers)Plant Water Relations and Carbon Dynamics (5 papers)
- Journals
- The Astrophysical JournalMonthly Notices of the Royal Astronomical SocietyThe Astrophysical Journal Letters
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Preethi Nair
18 papers receiving 740 citations
Peers
Comparison fields: 5 of 50
- Astronomy and Astrophysics 730
- Instrumentation 433
- Computer Vision and Pattern Recognition 88
- Ecology 68
- Nuclear and High Energy Physics 52
Countries citing papers authored by Preethi Nair
This map shows the geographic impact of Preethi 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 Preethi Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preethi Nair more than expected).
Fields of papers citing papers by Preethi Nair
This network shows the impact of papers produced by Preethi 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 Preethi Nair. The network helps show where Preethi Nair may publish in the future.
Co-authorship network of co-authors of Preethi Nair
This figure shows the co-authorship network connecting the top 25 collaborators of Preethi Nair. A scholar is included among the top collaborators of Preethi 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 Preethi Nair. Preethi 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 | 0 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 39 | |
| 9 | The WFIRST Deep Grism Survey: WDGS | 1 |
| 10 | 36 | |
| 11 | 40 | |
| 12 | 0 | |
| 13 | 34 | |
| 14 | 18 | |
| 15 | 122 | |
| 16 | 111 | |
| 17 | 16 | |
| 18 | 11 | |
| 19 | 40 | |
| 20 | 239 |
About Preethi Nair
Preethi Nair is a scholar working on Instrumentation, Astronomy and Astrophysics and Global and Planetary Change, having authored 20 papers that have together received 792 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (19 papers), Astronomy and Astrophysical Research (11 papers) and Plant Water Relations and Carbon Dynamics (5 papers). The work is most often cited by research in Instrumentation (433 citations), Astronomy and Astrophysics (730 citations) and Computer Vision and Pattern Recognition (88 citations). Preethi Nair has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Roberto Abraham, Sidney van den Bergh, Sara L. Ellison, David R. Patton, Luc Simard, J. Trevor Mendel, Jillian M. Scudder, Hsiao‐Wen Chen, Niv Drory and Jean-René Gauthier. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.
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.