Christoph Behrens

1.6k total citations
48 papers, 1.0k citations indexed

About

Christoph Behrens is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and General Economics, Econometrics and Finance. According to data from OpenAlex, Christoph Behrens has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 10 papers in Nuclear and High Energy Physics and 7 papers in General Economics, Econometrics and Finance. Recurrent topics in Christoph Behrens's work include Galaxies: Formation, Evolution, Phenomena (24 papers), Astrophysics and Star Formation Studies (14 papers) and Stellar, planetary, and galactic studies (9 papers). Christoph Behrens is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (24 papers), Astrophysics and Star Formation Studies (14 papers) and Stellar, planetary, and galactic studies (9 papers). Christoph Behrens collaborates with scholars based in Germany, Italy and Japan. Christoph Behrens's co-authors include A. Pallottini, S. Gallerani, J. C. Niemeyer, L. Vallini, Andrea Ferrara, Stefano Carniani, M. Kohandel, Xiaolong Du, Christian Pierdzioch and Bodo Schwabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Christoph Behrens

46 papers receiving 984 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Behrens Germany 19 835 254 233 47 38 48 1.0k
Jun Ma China 22 1.5k 1.8× 260 1.0× 566 2.4× 103 2.2× 12 0.3× 169 1.8k
David S. De Young United States 24 1.2k 1.5× 575 2.3× 123 0.5× 49 1.0× 50 1.3× 58 1.4k
C. M. Gutiérrez Spain 15 634 0.8× 186 0.7× 172 0.7× 44 0.9× 2 0.1× 47 731
José Luis Bernal United States 16 1.1k 1.4× 763 3.0× 133 0.6× 28 0.6× 6 0.2× 43 1.3k
Xiao Fang China 19 308 0.4× 254 1.0× 105 0.5× 442 9.4× 9 0.2× 78 942
P. Teerikorpi Finland 17 1.1k 1.3× 358 1.4× 270 1.2× 32 0.7× 19 0.5× 101 1.1k
O. Stahl Germany 27 1.6k 2.0× 95 0.4× 427 1.8× 75 1.6× 4 0.1× 144 1.8k
J. R. Cummings United States 18 196 0.2× 261 1.0× 15 0.1× 49 1.0× 26 0.7× 85 833
Mark Dijkstra United States 32 3.0k 3.6× 930 3.7× 905 3.9× 130 2.8× 18 0.5× 70 3.1k

Countries citing papers authored by Christoph Behrens

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Behrens

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Behrens. A scholar is included among the top collaborators of Christoph Behrens 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 Christoph Behrens. Christoph Behrens 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.
Behrens, Christoph, et al.. (2024). Numerische Modelle in Sicherheitsuntersuchungen für die Endlagersuche: Möglichkeiten und Grenzen. Grundwasser. 29(1). 17–30. 4 indexed citations
2.
Shao, Haibing, et al.. (2024). The value of simplified models of radionuclide transport for the safety assessment of nuclear waste repositories: A benchmark study. Journal of Contaminant Hydrology. 267. 104417–104417. 2 indexed citations
3.
Behrens, Christoph, et al.. (2023). Simulation of Porosity Regrowth during Heat Treatment after Hot Isostatic Pressing in Titanium Components. HTM Journal of Heat Treatment and Materials. 78(5). 288–299. 1 indexed citations
4.
5.
Behrens, Christoph, et al.. (2023). The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison. Jahrbücher für Nationalökonomie und Statistik. 244(3). 277–288. 1 indexed citations
6.
Gallerani, S., Christoph Behrens, A. Pallottini, et al.. (2021). Infrared emission of z ∼ 6 galaxies: AGN imprints. Monthly Notices of the Royal Astronomical Society. 503(2). 2349–2368. 31 indexed citations
7.
Müller, Hendrik, Christoph Behrens, & David J. E. Marsh. (2021). A novel estimator for the equation of state of the IGM by Ly α forest tomography. Monthly Notices of the Royal Astronomical Society. 503(4). 6202–6222. 5 indexed citations
8.
Zanella, Anita, A. Pallottini, Andrea Ferrara, et al.. (2020). Early galaxy growth: mergers or gravitational instability?. Monthly Notices of the Royal Astronomical Society. 500(1). 118–137. 12 indexed citations
9.
Kohandel, M., A. Pallottini, Andrea Ferrara, et al.. (2020). Velocity dispersion in the interstellar medium of early galaxies. Monthly Notices of the Royal Astronomical Society. 499(1). 1250–1265. 31 indexed citations
10.
Schwabe, Bodo, et al.. (2020). Simulating mixed fuzzy and cold dark matter. Physical review. D. 102(8). 60 indexed citations
11.
Benson, Andrew, Christoph Behrens, & Yu Lu. (2020). A random-walk model for dark matter halo spins. Monthly Notices of the Royal Astronomical Society. 496(3). 3371–3380. 9 indexed citations
12.
Behrens, Christoph. (2020). Evaluating the joint efficiency of German trade forecasts - a nonparametric multivariate approach. Applied Economics. 52(34). 3732–3747. 3 indexed citations
13.
Pallottini, A., Andrea Ferrara, Davide Decataldo, et al.. (2019). Deep into the structure of the first galaxies: SERRA views. Monthly Notices of the Royal Astronomical Society. 487(2). 1689–1708. 85 indexed citations
14.
Ferrara, Andrea, L. Vallini, A. Pallottini, et al.. (2019). A physical model for [C ii] line emission from galaxies. Monthly Notices of the Royal Astronomical Society. 489(1). 1–12. 59 indexed citations
15.
Prada, F., Antonio D. Montero-Dorta, Sergio Rodríguez-Torres, et al.. (2019). A semi-analytical perspective on massive galaxies at z ∼ 0.55. Monthly Notices of the Royal Astronomical Society. 486(1). 1316–1331. 4 indexed citations
16.
Kohandel, M., A. Pallottini, Andrea Ferrara, et al.. (2019). Kinematics of z ≥ 6 galaxies from [C ii] line emission. Monthly Notices of the Royal Astronomical Society. 487(3). 3007–3020. 49 indexed citations
17.
Behrens, Christoph. (2019). A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss. Economies. 7(3). 93–93. 3 indexed citations
18.
Behrens, Christoph, Eike Emrich, Martin Hämmerle, & Christian Pierdzioch. (2018). Match quality, crowding out, and crowding in: empirical evidence for German sports clubs. European Journal for Sport and Society. 15(1). 78–95. 1 indexed citations
19.
Behrens, Christoph, Christian Pierdzioch, & Marian Risse. (2018). Testing the optimality of inflation forecasts under flexible loss with random forests. Economic Modelling. 72. 270–277. 25 indexed citations
20.
Behrens, Christoph, et al.. (2014). Inclination Dependence of Lyman-α Properties in a Turbulent Disk Galaxy. 32 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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