Daniel Rahner

452 total citations
8 papers, 239 citations indexed

About

Daniel Rahner is a scholar working on Astronomy and Astrophysics, Statistical and Nonlinear Physics and Instrumentation. According to data from OpenAlex, Daniel Rahner has authored 8 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 1 paper in Statistical and Nonlinear Physics and 1 paper in Instrumentation. Recurrent topics in Daniel Rahner's work include Astrophysics and Star Formation Studies (6 papers), Stellar, planetary, and galactic studies (6 papers) and Gamma-ray bursts and supernovae (2 papers). Daniel Rahner is often cited by papers focused on Astrophysics and Star Formation Studies (6 papers), Stellar, planetary, and galactic studies (6 papers) and Gamma-ray bursts and supernovae (2 papers). Daniel Rahner collaborates with scholars based in Germany, Chile and Italy. Daniel Rahner's co-authors include Ralf S. Klessen, E. Pellegrini, Simon C. O. Glover, Lynton Ardizzone, Jakob Kruse, Ullrich Köthe, Sebastian Wirkert, Carsten Rother, Lena Maier‐Hein and Robert J. J. Grand and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Monthly Notices of the Royal Astronomical Society Letters and Nature Astronomy.

In The Last Decade

Daniel Rahner

8 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Rahner Germany	6	170	19	19	16	15	8	239
Steffen Rost Germany	6	78 0.5×	8 0.4×	36 1.9×	8 0.5×	19 1.3×	30	146
G. Riccio Italy	7	106 0.6×	11 0.6×	39 2.1×	20 1.3×	3 0.2×	18	160
H. A. Holties Netherlands	5	48 0.3×	7 0.4×	23 1.2×	14 0.9×	6 0.4×	12	93
J. B. Rafert United States	8	125 0.7×	5 0.3×	29 1.5×	7 0.4×	9 0.6×	30	206
Jayadev Rajagopal United States	7	111 0.7×	5 0.3×	28 1.5×	8 0.5×	5 0.3×	35	140
Peter R. Silverglate United States	8	79 0.5×	15 0.8×	7 0.4×	21 1.3×	30 2.0×	20	186
Sheila Sagear United States	6	209 1.2×	18 0.9×	105 5.5×	19 1.2×	6 0.4×	8	260
Raphaël Sgier Switzerland	6	124 0.7×	50 2.6×	24 1.3×	37 2.3×	4 0.3×	6	210
Hideki Yahagi Japan	9	162 1.0×	13 0.7×	72 3.8×	10 0.6×	3 0.2×	14	193
M. A. Bershady United States	6	169 1.0×	13 0.7×	101 5.3×	12 0.8×	4 0.3×	9	200

Countries citing papers authored by Daniel Rahner

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Rahner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rahner

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

All Works

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8 of 8 papers shown

Reißl, Stefan, Ralf S. Klessen, E. Pellegrini, et al.. (2023). A reproduction of the Milky Way’s Faraday rotation measure map in galaxy simulations from global to local scales. Nature Astronomy. 7(11). 1295–1300. 12 indexed citations

Pellegrini, E., et al.. (2023). Modelling the formation of two stellar generations in massive star clusters: the case of 30 Doradus. Monthly Notices of the Royal Astronomical Society. 520(4). 5600–5612. 3 indexed citations

Pellegrini, E., Stefan Reißl, Daniel Rahner, et al.. (2020). warpfield population synthesis: the physics of (extra-)Galactic star formation and feedback-driven cloud structure and emission from sub-to-kpc scales. Monthly Notices of the Royal Astronomical Society. 498(3). 3193–3214. 20 indexed citations

Rahner, Daniel, E. Pellegrini, Simon C. O. Glover, & Ralf S. Klessen. (2018). Warpfield: Winds And Radiation Pressure: Feedback Induced Expansion, colLapse and Dissolution. Astrophysics Source Code Library. 1 indexed citations

Rahner, Daniel, E. Pellegrini, Simon C. O. Glover, & Ralf S. Klessen. (2018). warpfield2.0: feedback-regulated minimum star formation efficiencies of giant molecular clouds. Monthly Notices of the Royal Astronomical Society. 483(2). 2547–2560. 39 indexed citations

Ardizzone, Lynton, Jakob Kruse, Sebastian Wirkert, et al.. (2018). Analyzing Inverse Problems with Invertible Neural Networks. arXiv (Cornell University). 59 indexed citations

Rahner, Daniel, E. Pellegrini, Simon C. O. Glover, & Ralf S. Klessen. (2017). Winds and radiation in unison: a new semi-analytic feedback model for cloud dissolution. Monthly Notices of the Royal Astronomical Society. 470(4). 4453–4472. 87 indexed citations

Rahner, Daniel, E. Pellegrini, Simon C. O. Glover, & Ralf S. Klessen. (2017). Forming clusters within clusters: how 30 Doradus recollapsed and gave birth again. Monthly Notices of the Royal Astronomical Society Letters. 473(1). L11–L15. 18 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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