Aishwarya Iyer

462 total citations · 1 hit paper
9 papers, 194 citations indexed

About

Aishwarya Iyer is a scholar working on Astronomy and Astrophysics, Instrumentation and Spectroscopy. According to data from OpenAlex, Aishwarya Iyer has authored 9 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 3 papers in Instrumentation and 2 papers in Spectroscopy. Recurrent topics in Aishwarya Iyer's work include Stellar, planetary, and galactic studies (7 papers), Astronomy and Astrophysical Research (3 papers) and Astro and Planetary Science (3 papers). Aishwarya Iyer is often cited by papers focused on Stellar, planetary, and galactic studies (7 papers), Astronomy and Astrophysical Research (3 papers) and Astro and Planetary Science (3 papers). Aishwarya Iyer collaborates with scholars based in United States, France and Belgium. Aishwarya Iyer's co-authors include Michael R. Line, Philip S. Muirhead, Michael Line, Jonathan J. Fortney, Ehsan Gharib-Nezhad, Avi M. Mandell, Andrew Lincowski, Sebastian Zieba, Eric Agol and Laura Kreidberg and has published in prestigious journals such as Nature, The Astrophysical Journal and The Astronomical Journal.

In The Last Decade

Aishwarya Iyer

7 papers receiving 132 citations

Hit Papers

No thick carbon dioxide atmosphere on the rocky exoplanet... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aishwarya Iyer United States 6 176 64 40 26 16 9 194
Achrène Dyrek France 5 196 1.1× 49 0.8× 52 1.3× 24 0.9× 13 0.8× 8 218
Qiao Xue United States 7 157 0.9× 48 0.8× 33 0.8× 21 0.8× 16 1.0× 9 177
Zafar Rustamkulov United States 8 213 1.2× 56 0.9× 48 1.2× 40 1.5× 12 0.8× 20 233
Hannah Diamond-Lowe United States 9 247 1.4× 87 1.4× 48 1.2× 39 1.5× 14 0.9× 15 265
Jonathan Brande United States 7 166 0.9× 54 0.8× 35 0.9× 14 0.5× 13 0.8× 12 176
Robert T. Zellem United States 9 242 1.4× 61 1.0× 39 1.0× 18 0.7× 11 0.7× 19 271
A. Wünsche France 8 247 1.4× 83 1.3× 30 0.8× 13 0.5× 9 0.6× 9 264
Caroline Piaulet United States 7 168 1.0× 48 0.8× 29 0.7× 16 0.6× 21 1.3× 15 186
Arjun B. Savel United States 9 205 1.2× 31 0.5× 40 1.0× 14 0.5× 9 0.6× 17 231
Nicole L. Wallack United States 10 270 1.5× 99 1.5× 28 0.7× 20 0.8× 15 0.9× 25 296

Countries citing papers authored by Aishwarya Iyer

Since Specialization
Citations

This map shows the geographic impact of Aishwarya Iyer'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 Aishwarya Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aishwarya Iyer more than expected).

Fields of papers citing papers by Aishwarya Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aishwarya Iyer. 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 Aishwarya Iyer. The network helps show where Aishwarya Iyer may publish in the future.

Co-authorship network of co-authors of Aishwarya Iyer

This figure shows the co-authorship network connecting the top 25 collaborators of Aishwarya Iyer. A scholar is included among the top collaborators of Aishwarya Iyer 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 Aishwarya Iyer. Aishwarya Iyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Fortney, Jonathan J., Aishwarya Iyer, Sagnick Mukherjee, et al.. (2025). The Sonora Substellar Atmosphere Models. VI. Red Diamondback: Extending Diamondback with SPHINX for Brown Dwarf Early Evolution. The Astrophysical Journal. 994(2). 198–198.
2.
Knutson, Heather A., Renyu Hu, B. L. Ehlmann, et al.. (2025). A New Spectral Library for Modeling the Surfaces of Hot, Rocky Exoplanets. The Astrophysical Journal. 981(2). 130–130. 7 indexed citations
3.
Inglis, Julie, Nicole L. Wallack, Jerry W. Xuan, et al.. (2024). Atmospheric Retrievals of the Young Giant Planet ROXs 42B b from Low- and High-resolution Spectroscopy. The Astronomical Journal. 167(5). 218–218. 5 indexed citations
4.
Rackham, Benjamin V., M. Gillon, Julien de Wit, et al.. (2024). Updated Spectral Characteristics for the Ultracool Dwarf TRAPPIST-1. The Astrophysical Journal Letters. 970(1). L4–L4. 6 indexed citations
5.
Iyer, Aishwarya, Michael Line, Philip S. Muirhead, Jonathan J. Fortney, & Ehsan Gharib-Nezhad. (2023). The SPHINX M-dwarf Spectral Grid. I. Benchmarking New Model Atmospheres to Derive Fundamental M-dwarf Properties. The Astrophysical Journal. 944(1). 41–41. 45 indexed citations
6.
Zieba, Sebastian, Laura Kreidberg, Elsa Ducrot, et al.. (2023). No thick carbon dioxide atmosphere on the rocky exoplanet TRAPPIST-1 c. Nature. 620(7975). 746–749. 108 indexed citations breakdown →
8.
Gharib-Nezhad, Ehsan, Natasha Batalha, Mark S. Marley, et al.. (2021). EXOPLINES: MOLECULAR ABSORPTION CROSS-SECTION DATABASE FOR BROWN DWARF AND GIANT EXOPLANET ATMOSPHERES. IDEALS (University of Illinois Urbana-Champaign). 1–1. 1 indexed citations
9.
Iyer, Aishwarya & Michael R. Line. (2020). The Influence of Stellar Contamination on the Interpretation of Near-Infrared Transmission Spectra of Sub-Neptune Worlds around M-Dwarfs. Zenodo (CERN European Organization for Nuclear Research). 22 indexed citations

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.

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