Jörn Behrens

2.2k total citations
55 papers, 764 citations indexed

About

Jörn Behrens is a scholar working on Computational Mechanics, Geophysics and Atmospheric Science. According to data from OpenAlex, Jörn Behrens has authored 55 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 17 papers in Geophysics and 17 papers in Atmospheric Science. Recurrent topics in Jörn Behrens's work include Advanced Numerical Methods in Computational Mathematics (17 papers), earthquake and tectonic studies (13 papers) and Meteorological Phenomena and Simulations (12 papers). Jörn Behrens is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (17 papers), earthquake and tectonic studies (13 papers) and Meteorological Phenomena and Simulations (12 papers). Jörn Behrens collaborates with scholars based in Germany, China and Ireland. Jörn Behrens's co-authors include Stefan Vater, Frédéric Dias, Armin Iske, Sven Harig, Widodo Setiyo Pranowo, Thomas Ulrich, Elizabeth H. Madden, Alice‐Agnes Gabriel, Alexey Androsov and Michael Bäder and has published in prestigious journals such as Journal of Computational Physics, Monthly Weather Review and Geophysical Journal International.

In The Last Decade

Jörn Behrens

53 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörn Behrens Germany 17 300 267 225 125 115 55 764
A. Umpleby United Kingdom 16 595 2.0× 314 1.2× 129 0.6× 63 0.5× 108 0.9× 53 1.2k
Michele Dragoni Italy 20 1.2k 4.0× 116 0.4× 335 1.5× 114 0.9× 53 0.5× 107 1.6k
David A. Ham United Kingdom 18 82 0.3× 378 1.4× 175 0.8× 80 0.6× 153 1.3× 53 784
Kyle T. Mandli United States 16 262 0.9× 116 0.4× 422 1.9× 149 1.2× 112 1.0× 45 937
Ian Briggs United States 7 497 1.7× 49 0.2× 59 0.3× 75 0.6× 168 1.5× 14 982
Naomi Murdoch France 19 370 1.2× 120 0.4× 135 0.6× 60 0.5× 52 0.5× 79 1.3k
Annamaria Vicari Italy 21 531 1.8× 76 0.3× 486 2.2× 46 0.4× 21 0.2× 49 1.3k
D. Arcas United States 14 558 1.9× 85 0.3× 154 0.7× 76 0.6× 100 0.9× 34 780
Seizo Tanaka Japan 11 50 0.2× 109 0.4× 139 0.6× 84 0.7× 79 0.7× 39 433

Countries citing papers authored by Jörn Behrens

Since Specialization
Citations

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

Fields of papers citing papers by Jörn Behrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörn Behrens

This figure shows the co-authorship network connecting the top 25 collaborators of Jörn Behrens. A scholar is included among the top collaborators of Jörn 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 Jörn Behrens. Jörn 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, Jörn, et al.. (2025). Non‐Hydrostatic Model for Simulating Moving Bottom‐Generated Waves: A Shallow Water Extension With Quadratic Vertical Pressure Profile. International Journal for Numerical Methods in Fluids. 97(8). 1093–1103.
2.
Chen, Yumeng, et al.. (2021). Extending legacy climate models by adaptive mesh refinement for single-component tracer transport: a case study with ECHAM6-HAMMOZ (ECHAM6.3-HAM2.3-MOZ1.0). Geoscientific model development. 14(5). 2289–2316. 2 indexed citations
3.
Madden, Elizabeth H., Thomas Ulrich, Stefan Vater, et al.. (2018). Physics-based Coupled Models of the 2018 Sulawesi Earthquake and Tsunami. AGUFM. 2018. 1 indexed citations
4.
Hort, Matthias, et al.. (2018). An adaptive semi-Lagrangian advection model for transport of volcanic emissions in the atmosphere. Natural hazards and earth system sciences. 18(5). 1517–1534. 1 indexed citations
5.
Behrens, Jörn, et al.. (2018). CDIP wave observations during Hurricane Matthew. eScholarship (California Digital Library). 86(1). 38–40. 1 indexed citations
6.
Behrens, Jörn & Frédéric Dias. (2015). New computational methods in tsunami science. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 373(2053). 20140382–20140382. 60 indexed citations
7.
Behrens, Jörn, et al.. (2015). Thermal structure and basal sliding parametrisation at Pine Island Glacier – a 3-D full-Stokes model study. ˜The œcryosphere. 9(2). 675–690. 6 indexed citations
8.
Androsov, Alexey, Jörn Behrens, & Sergey Danilov. (2010). Nonlinear interaction tsunami and tidal waves. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 2 indexed citations
9.
Behrens, Jörn, Widodo Setiyo Pranowo, & Claudia Wekerle. (2009). Credible Worst Case Tsunami Scenario Simulation for Padang. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 1 indexed citations
10.
Androsov, Alexey, Sven Harig, Jörn Behrens, Jens Schröter, & Sergey Danilov. (2008). Tsunami Modelling on Unstructured Grids: Verification and Validation. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 7 indexed citations
11.
Behrens, Jörn, et al.. (2007). Derivative-based Sensitivity Analysis for Tsunami Scenario Computations in Support of the German Contribution to the Indonesian Tsunami Early Warning System for the Indian Ocean. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
12.
Harig, Sven, Alexey Androsov, Jörn Behrens, et al.. (2007). Tsunami modelling with unstructured grids. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 3 indexed citations
13.
Harig, Sven, et al.. (2007). Erzeugung eines geeigneten Finite-Elemente-Gitters für Tsunami-Simulationsrechnungen aus mehreren Datenquellen. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 1 indexed citations
14.
Behrens, Jörn. (2006). Adaptive Atmospheric Modeling : Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications. CERN Document Server (European Organization for Nuclear Research). 31 indexed citations
15.
Bäder, Michael, et al.. (2006). Memory Efficient Adaptive Mesh Generation and Implementation of Multigrid Algorithms Using Sierpinski Curves. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 1 indexed citations
16.
Läuter, M., Dörthe Handorf, Natalja Rakowsky, et al.. (2006). A parallel adaptive barotropic model of the atmosphere. Journal of Computational Physics. 223(2). 609–628. 22 indexed citations
17.
Behrens, Jörn. (2005). Multilevel optimization by space-filling curves in adaptive atmospheric modeling. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 2 indexed citations
18.
Behrens, Jörn. (2005). Adaptive atmospheric modeling: scientific computing at its best. Computing in Science & Engineering. 7(4). 76–83. 7 indexed citations
19.
Behrens, Jörn & Armin Iske. (2002). Grid-free adaptive semi-Lagrangian advection using radial basis functions. Computers & Mathematics with Applications. 43(3-5). 319–327. 48 indexed citations
20.
Glaßmeier, K.‐H., W. Baumjohann, Jörn Behrens, & M. Lester. (1984). Ground magnetic observations of high-latitude Pi2 pulsations: Scandinavian magnetometer array results. ESASP. 217. 667–671. 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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