U. Feindt

5.7k total citations
20 papers, 515 citations indexed

About

U. Feindt is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, U. Feindt has authored 20 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 6 papers in Instrumentation. Recurrent topics in U. Feindt's work include Gamma-ray bursts and supernovae (17 papers), Astronomy and Astrophysical Research (6 papers) and Astrophysics and Cosmic Phenomena (6 papers). U. Feindt is often cited by papers focused on Gamma-ray bursts and supernovae (17 papers), Astronomy and Astrophysical Research (6 papers) and Astrophysics and Cosmic Phenomena (6 papers). U. Feindt collaborates with scholars based in Sweden, United States and Germany. U. Feindt's co-authors include A. Goobar, J. Sollerman, Oleg Korobkin, Stephan Rosswog, P. Nugent, E. O. Ofek, Meng-Ru Wu, G. Martı́nez-Pinedo, Quanzhi Ye and Thomas Kupfer and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Classical and Quantum Gravity.

In The Last Decade

U. Feindt

17 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Feindt Sweden 10 489 167 68 20 16 20 515
K. Geréb Australia 10 449 0.9× 113 0.7× 166 2.4× 22 1.1× 10 0.6× 12 468
Matthew O’Dowd United States 11 532 1.1× 249 1.5× 58 0.9× 38 1.9× 12 0.8× 28 559
Z. Kostrzewa-Rutkowska United Kingdom 12 436 0.9× 62 0.4× 81 1.2× 26 1.3× 16 1.0× 27 458
Paola Domínguez-Fernández Germany 12 345 0.7× 212 1.3× 41 0.6× 6 0.3× 13 0.8× 18 370
D. Burlon Italy 15 702 1.4× 297 1.8× 79 1.2× 11 0.6× 9 0.6× 20 715
N. Regnault France 10 542 1.1× 186 1.1× 104 1.5× 21 1.1× 9 0.6× 19 568
Kenda Knowles South Africa 11 367 0.8× 136 0.8× 134 2.0× 53 2.6× 12 0.8× 27 402
A. Ederoclite Spain 15 459 0.9× 84 0.5× 109 1.6× 16 0.8× 43 2.7× 52 479
Rafael T. Eufrasio United States 12 460 0.9× 134 0.8× 80 1.2× 13 0.7× 6 0.4× 21 471
M. Langer France 13 380 0.8× 169 1.0× 66 1.0× 9 0.5× 6 0.4× 28 407

Countries citing papers authored by U. Feindt

Since Specialization
Citations

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

Fields of papers citing papers by U. Feindt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Feindt

This figure shows the co-authorship network connecting the top 25 collaborators of U. Feindt. A scholar is included among the top collaborators of U. Feindt 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 U. Feindt. U. Feindt 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.
Karamehmetoglu, E., J. Sollerman, F. Taddia, et al.. (2023). A population of Type Ibc supernovae with massive progenitors. Astronomy and Astrophysics. 678. A87–A87. 7 indexed citations
2.
Bulla, Mattia, et al.. (2021). Detectability of kilonovae in optical surveys: post-mortem examination of the LVC O3 run follow-up. Monthly Notices of the Royal Astronomical Society. 504(1). 1294–1303. 18 indexed citations
3.
Feindt, U., J. Nordin, M. Rigault, et al.. (2019). simsurvey: estimating transient discovery rates for the Zwicky transient facility. Journal of Cosmology and Astroparticle Physics. 2019(10). 5–5. 18 indexed citations
4.
Kasliwal, M. M., Chris Cannella, Ashot Bagdasaryan, et al.. (2019). The GROWTH Marshal: A Dynamic Science Portal for Time-domain Astronomy. Publications of the Astronomical Society of the Pacific. 131(997). 38003–38003. 33 indexed citations
5.
Bellm, Eric C., S. R. Kulkarni, Tom A. Barlow, et al.. (2019). The Zwicky Transient Facility: Surveys and Scheduler. Publications of the Astronomical Society of the Pacific. 131(1000). 68003–68003. 153 indexed citations
6.
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
7.
Papadogiannakis, S., A. Goobar, R. Amanullah, et al.. (2018). R-band light-curve properties of Type Ia supernovae from the (intermediate) Palomar Transient Factory. Monthly Notices of the Royal Astronomical Society. 483(4). 5045–5076. 8 indexed citations
8.
Hachinger, Stephan, F. K. Röpke, P. A. Mazzali, et al.. (2017). Type Ia supernovae with and without blueshifted narrow Na i D lines – how different is their structure?. Monthly Notices of the Royal Astronomical Society. 471(1). 491–506. 5 indexed citations
9.
Rosswog, Stephan, U. Feindt, Oleg Korobkin, et al.. (2017). Detectability of compact binary merger macronovae. Classical and Quantum Gravity. 34(10). 104001–104001. 85 indexed citations
10.
Bulla, Mattia, A. Goobar, R. Amanullah, U. Feindt, & R. Ferretti. (2017). Estimating dust distances to Type Ia supernovae from colour excess time evolution. Monthly Notices of the Royal Astronomical Society. 473(2). 1918–1929. 9 indexed citations
11.
Barbary, K., Thomas Barclay, Rahul Biswas, et al.. (2016). SNCosmo: Python library for supernova cosmology. Astrophysics Source Code Library. 13 indexed citations
12.
Barbary, K., D. A. Goldstein, S. Rodney, et al.. (2016). sncosmo/sncosmo: v1.4.0. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
13.
Gáll, Erwin, J. Polshaw, R. Kotak, et al.. (2015). A comparative study of Type II-P and II-L supernova rise times as exemplified by the case of LSQ13cuw. Astronomy and Astrophysics. 582. A3–A3. 30 indexed citations
14.
Galbany, L., S. González–Gaitán, K. Mužić, et al.. (2014). Spectroscopic classification of supernova LSQ14azy. ATel. 6080. 1.
15.
Firth, R. E., M. Sullivan, A. Gal‐Yam, et al.. (2014). The rising light curves of Type Ia supernovae. Monthly Notices of the Royal Astronomical Society. 446(4). 3895–3910. 57 indexed citations
16.
Walker, E. S., E. Hadjiyska, D. Rabinowitz, et al.. (2013). Classification of Two LSQ Supernovae By CSP. ATel. 5567. 1. 1 indexed citations
17.
Hsiao, E. Y., G. H. Marion, R. Kirshner, et al.. (2013). FIRE classification of LSQ13dpa, a possible young type II supernova. The astronomer's telegram. 5678. 1.
18.
Baltay, C., D. Rabinowitz, E. Hadjiyska, et al.. (2013). The La Silla-QUEST Low Redshift Supernova Survey. Publications of the Astronomical Society of the Pacific. 125(928). 683–694. 27 indexed citations
19.
Dilday, B., D. A. Howell, E. Hadjiyska, et al.. (2012). La Silla-QUEST detection and FLOYDS classification of LSQ12cpf as a SN Ia near maximum. ATel. 4147. 1.
20.
Feindt, U., M. Kowalski, & K. Paech. (2012). The self-calibrating Hubble diagram. Journal of Cosmology and Astroparticle Physics. 2012(4). 1–1. 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.

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