Sahana Kumar

1.5k total citations
12 papers, 152 citations indexed

About

Sahana Kumar is a scholar working on Astronomy and Astrophysics, Instrumentation and Political Science and International Relations. According to data from OpenAlex, Sahana Kumar has authored 12 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Astronomy and Astrophysics, 2 papers in Instrumentation and 1 paper in Political Science and International Relations. Recurrent topics in Sahana Kumar's work include Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (9 papers) and Astrophysical Phenomena and Observations (6 papers). Sahana Kumar is often cited by papers focused on Gamma-ray bursts and supernovae (11 papers), Stellar, planetary, and galactic studies (9 papers) and Astrophysical Phenomena and Observations (6 papers). Sahana Kumar collaborates with scholars based in United States, Denmark and Spain. Sahana Kumar's co-authors include M. L. Graham, A. V. Filippenko, D. Hiramatsu, E. Y. Hsiao, M. Stritzinger, L. Galbany, C. McCully, D. A. Howell, David J. Sand and G. Hosseinzadeh and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

Sahana Kumar

11 papers receiving 144 citations

Peers

Sahana Kumar
A. Janssen Germany
Sarah H. Miller United States
Jennifer Sandoval United States
I. K. W. Kleiser United States
O. Fox United States
M. Childress Australia
J. McEnery United States
Sahana Kumar
Citations per year, relative to Sahana Kumar Sahana Kumar (= 1×) peers Jessica A. Kirkpatrick

Countries citing papers authored by Sahana Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sahana Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahana Kumar

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

All Works

12 of 12 papers shown
1.
Ashall, C., Melissa Shahbandeh, E. Y. Hsiao, et al.. (2025). Using Nebular Near-infrared Spectroscopy to Measure Asymmetric Chemical Distributions in 2003fg-like Thermonuclear Supernovae. The Astrophysical Journal. 984(1). 34–34. 4 indexed citations
2.
Hoêflich, P., E. Y. Hsiao, M. M. Phillips, et al.. (2024). Type Ia Supernova Progenitor Properties and their Host Galaxies. The Astrophysical Journal. 969(2). 80–80. 3 indexed citations
3.
Aryan, Amar, S. B. Pandey, WeiKang Zheng, et al.. (2022). SN 2016iyc: a Type IIb supernova arising from a low-mass progenitor. Monthly Notices of the Royal Astronomical Society. 517(2). 1750–1766. 4 indexed citations
4.
Graham, M. L., Sahana Kumar, David J. Sand, et al.. (2022). Nebular-phase spectra of Type Ia supernovae from the Las Cumbres Observatory Global Supernova Project. Monthly Notices of the Royal Astronomical Society. 511(3). 3682–3707. 5 indexed citations
5.
Ashall, C., Jing Lü, B. J. Shappee, et al.. (2022). A Speed Bump: SN 2021aefx Shows that Doppler Shift Alone Can Explain Early Excess Blue Flux in Some Type Ia Supernovae. The Astrophysical Journal Letters. 932(1). L2–L2. 11 indexed citations
6.
Müller-Bravo, T. E., L. Galbany, E. Karamehmetoglu, et al.. (2022). Testing the homogeneity of type Ia Supernovae in near-infrared for accurate distance estimations. Astronomy and Astrophysics. 665. A123–A123. 7 indexed citations
7.
Ashall, C., Jing Lü, C. R. Burns, et al.. (2020). Carnegie Supernova Project-II: A New Method to Photometrically Identify Sub-types of Extreme Type Ia Supernovae. The Astrophysical Journal Letters. 895(1). L3–L3. 12 indexed citations
8.
Tucker, M. A., B. J. Shappee, P. Vallely, et al.. (2019). Nebular spectra of 111 Type Ia supernovae disfavour single-degenerate progenitors. Monthly Notices of the Royal Astronomical Society. 493(1). 1044–1062. 35 indexed citations
9.
Graham, M. L., Sahana Kumar, G. Hosseinzadeh, et al.. (2017). Nebular-phase spectra of nearby Type Ia Supernovae. Monthly Notices of the Royal Astronomical Society. 472(3). 3437–3454. 37 indexed citations
10.
Kumar, Sahana, et al.. (2017). The wisdom of demagogues: institutions, corruption and support for authoritarian populists. Economic Affairs. 37(3). 382–396. 14 indexed citations
11.
Shivvers, I., WeiKang Zheng, Jon C. Mauerhan, et al.. (2016). SN 2015U: a rapidly evolving and luminous Type Ibn supernova. Monthly Notices of the Royal Astronomical Society. 461(3). 3057–3074. 20 indexed citations
12.
Kumar, Sahana, WeiKang Zheng, S. B. Cenko, et al.. (2013). Supernova 2013dh in NGC 5936 = Psn J15300109+1259129. 3561. 1.

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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