C. Fremling

10.7k total citations
58 papers, 926 citations indexed

About

C. Fremling is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, C. Fremling has authored 58 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Astronomy and Astrophysics, 19 papers in Nuclear and High Energy Physics and 10 papers in Instrumentation. Recurrent topics in C. Fremling's work include Gamma-ray bursts and supernovae (44 papers), Stellar, planetary, and galactic studies (26 papers) and Astrophysical Phenomena and Observations (16 papers). C. Fremling is often cited by papers focused on Gamma-ray bursts and supernovae (44 papers), Stellar, planetary, and galactic studies (26 papers) and Astrophysical Phenomena and Observations (16 papers). C. Fremling collaborates with scholars based in United States, Sweden and Israel. C. Fremling's co-authors include J. Sollerman, M. M. Kasliwal, S. B. Cenko, A. Gal‐Yam, S. R. Kulkarni, Y. Cao, P. Nugent, F. Taddia, I. Arcavi and P. R. Woźniak and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

C. Fremling

50 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Fremling United States 19 890 273 91 15 13 58 926
J. A. Fernández-Ontiveros Spain 16 730 0.8× 232 0.8× 147 1.6× 15 1.0× 9 0.7× 55 766
T. Pursimo Spain 16 673 0.8× 496 1.8× 46 0.5× 8 0.5× 10 0.8× 57 714
S. Ghizzardi Italy 16 851 1.0× 250 0.9× 191 2.1× 9 0.6× 3 0.2× 37 874
R. Bachev Bulgaria 13 727 0.8× 366 1.3× 107 1.2× 6 0.4× 8 0.6× 43 763
Kevin Schaal Germany 5 496 0.6× 205 0.8× 107 1.2× 5 0.3× 15 1.2× 6 555
N. Elias–Rosa Italy 21 1.3k 1.5× 413 1.5× 105 1.2× 8 0.5× 7 0.5× 74 1.3k
R. Lunnan United States 16 694 0.8× 241 0.9× 82 0.9× 4 0.3× 5 0.4× 29 715
H. J. Völk Germany 8 398 0.4× 189 0.7× 59 0.6× 14 0.9× 7 0.5× 13 448
Qingjuan Yu China 19 1.1k 1.2× 255 0.9× 180 2.0× 9 0.6× 3 0.2× 35 1.1k
O. Yaron Israel 15 907 1.0× 297 1.1× 77 0.8× 2 0.1× 16 1.2× 52 946

Countries citing papers authored by C. Fremling

Since Specialization
Citations

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

Fields of papers citing papers by C. Fremling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Fremling

This figure shows the co-authorship network connecting the top 25 collaborators of C. Fremling. A scholar is included among the top collaborators of C. Fremling 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 C. Fremling. C. Fremling 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.
Dessart, Luc, R. Kotak, Kaustav K. Das, et al.. (2025). An optical-to-infrared study of type II SN 2024ggi at nebular times. Astronomy and Astrophysics. 704. L6–L6.
2.
Sharma, Y., A. Mahabal, J. Sollerman, et al.. (2025). CCSNscore: A Multi-input Deep Learning Tool for Classification of Core-collapse Supernovae Using SED-machine Spectra. Publications of the Astronomical Society of the Pacific. 137(3). 34507–34507. 2 indexed citations
3.
Kulkarni, S. R., A. K. H. Kong, Michael Tam, et al.. (2025). Variability of Central Stars of Planetary Nebulae with the Zwicky Transient Facility. I. Methods, Short-timescale Variables, and the Unusual Nucleus of WeSb 1*. Publications of the Astronomical Society of the Pacific. 137(2). 24201–24201. 5 indexed citations
4.
Cheng, Yu‐Chi, Bryce Bolin, Michael S. P. Kelley, et al.. (2024). Postperihelion Cometary Activity on the Outer Main-belt Asteroid 2005 XR132. The Planetary Science Journal. 5(3). 78–78.
5.
Kim, Young-Lo, I. Hook, L. Galbany, et al.. (2024). How Accurate are Transient Spectral Classification Tools?— A Study Using 4646 SEDMachine Spectra. Publications of the Astronomical Society of the Pacific. 136(11). 114501–114501. 1 indexed citations
6.
Sollerman, J., Claes Fransson, I. Irani, et al.. (2024). SN 2021adxl: A luminous nearby interacting supernova in an extremely low-metallicity environment. Astronomy and Astrophysics. 690. A259–A259. 4 indexed citations
7.
Miller, Adam A., M. W. Coughlin, C. Fremling, et al.. (2024). The Zwicky Transient Facility Bright Transient Survey. III. BTSbot: Automated Identification and Follow-up of Bright Transients with Deep Learning. The Astrophysical Journal. 972(1). 7–7. 9 indexed citations
8.
Ergon, M., Peter Lundqvist, Claes Fransson, et al.. (2023). Light curve and spectral modelling of the type IIb SN 2020acat. Astronomy and Astrophysics. 683. A241–A241. 4 indexed citations
9.
Freytag, Johann Christoph, J. Nordin, Rahul Biswas, et al.. (2022). SNGuess: A method for the selection of young extragalactic transients. Astronomy and Astrophysics. 665. A99–A99. 6 indexed citations
10.
Johansson, J., S. B. Cenko, Ori D. Fox, et al.. (2021). Near-infrared Supernova Ia Distances: Host Galaxy Extinction and Mass-step Corrections Revisited. The Astrophysical Journal. 923(2). 237–237. 23 indexed citations
11.
De, Kishalay, C. Fremling, A. Gal‐Yam, et al.. (2021). The Peculiar Ca-rich SN2019ehk: Evidence for a Type IIb Core-collapse Supernova from a Low-mass Stripped Progenitor. The Astrophysical Journal Letters. 907(1). L18–L18. 13 indexed citations
12.
Rigault, M., James D. Neill, N. Blagorodnova, et al.. (2019). Fully automated integral field spectrograph pipeline for the SEDMachine: pysedm. Springer Link (Chiba Institute of Technology). 15 indexed citations
13.
Rosswog, Stephan, J. Sollerman, U. Feindt, et al.. (2018). The first direct double neutron star merger detection: Implications for cosmic nucleosynthesis. Springer Link (Chiba Institute of Technology). 45 indexed citations
14.
Hung, T., Suvi Gezari, S. B. Cenko, et al.. (2018). Sifting for Sapphires: Systematic Selection of Tidal Disruption Events in iPTF. The Astrophysical Journal Supplement Series. 238(2). 15–15. 18 indexed citations
15.
Fremling, C., Y. Sharma, S. R. Kulkarni, et al.. (2018). The ZTF Bright Transient Survey. ATel. 11688. 1.
16.
Nyholm, A., J. Sollerman, F. Taddia, et al.. (2017). The bumpy light curve of Type IIn supernova iPTF13z over 3 years. Springer Link (Chiba Institute of Technology). 23 indexed citations
17.
Karamehmetoglu, E., F. Taddia, J. Sollerman, et al.. (2017). OGLE-2014-SN-131: A long-rising Type Ibn supernova from a massive progenitor. Astronomy and Astrophysics. 602. A93–A93. 12 indexed citations
18.
Gezari, Suvi, T. Hung, S. B. Cenko, et al.. (2017). iPTF Discovery of the Rapid “Turn-on” of a Luminous Quasar. The Astrophysical Journal. 835(2). 144–144. 75 indexed citations
19.
Taddia, F., C. Fremling, J. Sollerman, et al.. (2016). iPTF15dtg: a double-peaked Type Ic supernova from a massive progenitor. Springer Link (Chiba Institute of Technology). 26 indexed citations
20.
Strotjohann, N. L., E. O. Ofek, A. Gal‐Yam, et al.. (2015). SEARCH FOR PRECURSOR ERUPTIONS AMONG TYPE IIB SUPERNOVAE. The Astrophysical Journal. 811(2). 117–117. 13 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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