E. Baron

12.5k total citations · 2 hit papers
180 papers, 5.8k citations indexed

About

E. Baron is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, E. Baron has authored 180 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Astronomy and Astrophysics, 38 papers in Nuclear and High Energy Physics and 21 papers in Instrumentation. Recurrent topics in E. Baron's work include Gamma-ray bursts and supernovae (123 papers), Stellar, planetary, and galactic studies (67 papers) and Astro and Planetary Science (48 papers). E. Baron is often cited by papers focused on Gamma-ray bursts and supernovae (123 papers), Stellar, planetary, and galactic studies (67 papers) and Astro and Planetary Science (48 papers). E. Baron collaborates with scholars based in United States, Germany and Chile. E. Baron's co-authors include P. H. Hauschildt, David Branch, F. Allard, J. Cooperstein, Peter H. Hauschildt, P. Nugent, S. Kahana, P. H. Hauschildt, S. E. Woosley and M. M. Phillips and has published in prestigious journals such as Nature, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

E. Baron

171 papers receiving 5.6k citations

Hit Papers

The NextGen Model Atmosphere Grid for \documentclass{aast... 1999 2026 2008 2017 1999 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Baron United States 40 5.4k 1.4k 892 290 279 180 5.8k
R. M. Cutri United States 37 6.2k 1.1× 1.0k 0.7× 1.9k 2.2× 247 0.9× 197 0.7× 147 6.3k
Carl Heiles United States 42 6.6k 1.2× 1.6k 1.1× 438 0.5× 395 1.4× 464 1.7× 190 6.8k
A. M. Ghez United States 46 7.2k 1.3× 1.1k 0.8× 831 0.9× 638 2.2× 166 0.6× 197 7.4k
P. M. W. Kalberla Germany 27 7.2k 1.3× 2.6k 1.8× 548 0.6× 164 0.6× 127 0.5× 79 7.4k
Ralph S. Sutherland Australia 43 7.6k 1.4× 2.0k 1.4× 1.5k 1.7× 298 1.0× 113 0.4× 125 8.0k
R. Rébolo Spain 42 5.7k 1.0× 574 0.4× 1.3k 1.5× 426 1.5× 179 0.6× 285 6.0k
Eric Agol United States 43 7.1k 1.3× 948 0.7× 2.1k 2.4× 384 1.3× 502 1.8× 147 7.3k
W. B. Burton United States 24 5.4k 1.0× 2.0k 1.4× 393 0.4× 171 0.6× 141 0.5× 91 5.6k
Geoffrey C. Clayton United States 33 10.1k 1.9× 1.1k 0.8× 2.6k 2.9× 375 1.3× 414 1.5× 174 10.4k
A. Yahil United States 33 3.9k 0.7× 964 0.7× 1.1k 1.3× 186 0.6× 133 0.5× 98 4.6k

Countries citing papers authored by E. Baron

Since Specialization
Citations

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

Fields of papers citing papers by E. Baron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Baron

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

All Works

20 of 20 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.
Ashall, C., Melissa Shahbandeh, James M. DerKacy, et al.. (2025). The Hawaii Infrared Supernova Study (HISS): Spectroscopic Data Release 1. The Astrophysical Journal Supplement Series. 281(2). 28–28.
3.
Domı́nguez, I., Almadena Chtchelkanova, P. Hoêflich, et al.. (2025). Three-dimensional Structure of Incomplete Carbon–Oxygen Detonations in Type Ia Supernovae. The Astrophysical Journal. 982(2). 204–204. 1 indexed citations
4.
Baron, E., C. R. Burns, E. Y. Hsiao, et al.. (2024). Extrapolation of Type Ia Supernova Spectra into the Near-infrared Using Principal Component Analysis. The Astrophysical Journal. 967(1). 55–55. 1 indexed citations
5.
Stritzinger, M., S. Holmbo, N. Morrell, et al.. (2023). The Carnegie Supernova Project I. Astronomy and Astrophysics. 675. A82–A82. 4 indexed citations
6.
Xiang, Danfeng, Xiaofeng Wang, Hanna Sai, et al.. (2023). SN 2018hna: Adding a piece to the puzzles of the explosion of blue supergiants. Monthly Notices of the Royal Astronomical Society. 520(2). 2965–2982. 3 indexed citations
7.
Baron, E., C. Ashall, C. R. Burns, et al.. (2020). Carnegie supernova project: classification of type Ia supernovae. Conicet. 8 indexed citations
8.
Ashall, C., E. Y. Hsiao, P. Hoêflich, et al.. (2019). Carnegie Supernova Project-II: Using Near-infrared Spectroscopy to Determine the Location of the Outer 56Ni in Type Ia Supernovae. The Astrophysical Journal Letters. 875(2). L14–L14. 7 indexed citations
9.
Peacock, Sarah, Travis Barman, Evgenya L. Shkolnik, et al.. (2019). Predicting the Extreme Ultraviolet Radiation Environment of Exoplanets around Low-mass Stars: GJ 832, GJ 176, and GJ 436. The Astrophysical Journal. 886(2). 77–77. 38 indexed citations
10.
Peacock, Sarah, Travis Barman, Evgenya L. Shkolnik, P. H. Hauschildt, & E. Baron. (2019). Predicting the Extreme Ultraviolet Radiation Environment of Exoplanets around Low-mass Stars: The TRAPPIST-1 System. The Astrophysical Journal. 871(2). 235–235. 62 indexed citations
11.
Taddia, F., M. Stritzinger, Melina C. Bersten, et al.. (2017). The Carnegie Supernova Project I. Astronomy and Astrophysics. 609. A136–A136. 89 indexed citations
12.
Friesen, Brian, E. Baron, J. Parrent, et al.. (2017). Optical and ultraviolet spectroscopic analysis of SN 2011fe at late times. Monthly Notices of the Royal Astronomical Society. stx241–stx241. 6 indexed citations
13.
Jack, D., P. H. Hauschildt, & E. Baron. (2012). Near-infrared light curves of type Ia\n supernovae. Springer Link (Chiba Institute of Technology). 5 indexed citations
14.
Jack, D., P. H. Hauschildt, & E. Baron. (2011). Theoretical light curves of type Ia supernovae. Springer Link (Chiba Institute of Technology). 11 indexed citations
15.
Baron, E., Bin Chen, & P. H. Hauschildt. (2010). PHOENIX: A General-purpose State-of-the-art Stellar and Planetary Atmosphere Code. Astrophysics Source Code Library. 3 indexed citations
16.
Hauschildt, P. H., et al.. (2006). General relativistic radiative transfer. Springer Link (Chiba Institute of Technology). 8 indexed citations
17.
Mattila, S., Peter Lundqvist, J. Sollerman, et al.. (2005). Early and late time VLT spectroscopy of SN 2001el - progenitorconstraints for a type Ia supernova. Springer Link (Chiba Institute of Technology). 76 indexed citations
18.
Pastorello, A., L. Zampieri, M. Turatto, et al.. (2003). Low-luminosity Type II supernovae: spectroscopic and photometric evolution. Monthly Notices of the Royal Astronomical Society. 347(1). 74–94. 114 indexed citations
19.
Hauschildt, P. H., F. Allard, E. Baron, J. P. Aufdenberg, & A. Schweitzer. (2003). Stellar atmospheres and synthetic spectra for GAIA. ASPC. 298. 179. 1 indexed citations
20.
Thomas, R. C., et al.. (2002). SUSPECT, The Online Supernova Spectrum Archive: Year Two. American Astronomical Society Meeting Abstracts. 201. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026