Ulrich Behn

1.1k total citations
54 papers, 793 citations indexed

About

Ulrich Behn is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Ulrich Behn has authored 54 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Condensed Matter Physics, 19 papers in Statistical and Nonlinear Physics and 13 papers in Computer Networks and Communications. Recurrent topics in Ulrich Behn's work include Theoretical and Computational Physics (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). Ulrich Behn is often cited by papers focused on Theoretical and Computational Physics (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Advanced Thermodynamics and Statistical Mechanics (8 papers). Ulrich Behn collaborates with scholars based in Germany, United States and Russia. Ulrich Behn's co-authors include Eleni Pantazelou, Frank Moss, Peter Jung, Thomas John, Ralf Stannarius, Anna Kühnel, J. Leo van Hemmen, Valentin A. Zagrebnov, Bernhard Sulzer and Fridolin Groß and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Scientific Reports.

In The Last Decade

Ulrich Behn

53 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrich Behn Germany 15 406 305 142 130 124 54 793
Michal Or‐Guil Germany 18 317 0.8× 450 1.5× 249 1.8× 94 0.7× 20 0.2× 39 995
Lutz Brusch Germany 22 185 0.5× 242 0.8× 669 4.7× 65 0.5× 34 0.3× 57 1.6k
J. Bragard Spain 18 346 0.9× 410 1.3× 85 0.6× 89 0.7× 11 0.1× 69 1.1k
Jorge A. González Venezuela 17 422 1.0× 248 0.8× 133 0.9× 49 0.4× 15 0.1× 52 802
Shiqun Zhu China 22 1.0k 2.5× 564 1.8× 181 1.3× 48 0.4× 234 1.9× 83 1.8k
Dominique Persano Adorno Italy 14 248 0.6× 66 0.2× 143 1.0× 32 0.2× 56 0.5× 81 764
Jay Newby United States 23 428 1.1× 81 0.3× 1.0k 7.3× 95 0.7× 26 0.2× 43 1.7k
Jesús M. Seoane Spain 18 568 1.4× 211 0.7× 134 0.9× 100 0.8× 9 0.1× 65 912
Chenggui Yao China 16 489 1.2× 402 1.3× 119 0.8× 15 0.1× 26 0.2× 53 797
Christian Pich Germany 11 214 0.5× 82 0.3× 261 1.8× 190 1.5× 8 0.1× 27 837

Countries citing papers authored by Ulrich Behn

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Behn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Behn

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Behn. A scholar is included among the top collaborators of Ulrich Behn 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 Ulrich Behn. Ulrich Behn 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.
Wolf, Benjamin, Lars‐Christian Horn, Bahriye Aktas, et al.. (2019). Roadmap to Local Tumour Growth: Insights from Cervical Cancer. Scientific Reports. 9(1). 12768–12768. 6 indexed citations
2.
Höckel, Michael & Ulrich Behn. (2019). The Order of Cancer: A Theory of Malignant Progression by Inverse Morphogenesis. Frontiers in Oncology. 9. 416–416. 10 indexed citations
3.
Schulz, R., Benjamin Werner, & Ulrich Behn. (2014). Self-Tolerance in a Minimal Model of the Idiotypic Network. Frontiers in Immunology. 5. 86–86. 14 indexed citations
4.
Kürsten, Rüdiger, et al.. (2013). Critical manifold of globally coupled overdamped anharmonic oscillators driven by additive Gaussian white noise. Physical Review E. 88(2). 22114–22114. 2 indexed citations
5.
Behn, Ulrich, et al.. (2012). Randomly evolving idiotypic networks: Modular mean field theory. Physical Review E. 86(1). 11931–11931. 2 indexed citations
6.
Groß, Fridolin, et al.. (2010). Mathematical modeling of allergy and specific immunotherapy: Th1–Th2–Treg interactions. Journal of Theoretical Biology. 269(1). 70–78. 41 indexed citations
7.
Behn, Ulrich. (2007). Idiotypic networks: toward a renaissance?. Immunological Reviews. 216(1). 142–152. 25 indexed citations
8.
Traulsen, Arne, et al.. (2004). Generation of spatiotemporal correlated noise in1+1dimensions. Physical Review E. 69(2). 26116–26116. 5 indexed citations
9.
Brede, Markus & Ulrich Behn. (2003). Patterns in randomly evolving networks: Idiotypic networks. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(3). 31920–31920. 13 indexed citations
10.
John, Thomas, Ulrich Behn, & Ralf Stannarius. (2002). Fundamental scaling laws of on-off intermittency in a stochastically driven dissipative pattern-forming system. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46229–46229. 27 indexed citations
11.
Birner, Thomas, et al.. (2002). Critical behavior of nonequilibrium phase transitions to magnetically ordered states. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(4). 46110–46110. 19 indexed citations
12.
Brede, Markus & Ulrich Behn. (2001). Architecture of idiotypic networks: Percolation and scaling Behavior. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(1). 11908–11908. 9 indexed citations
13.
Nowotny, Thomas, et al.. (2001). Phase diagram of the random field Ising model on the Bethe lattice. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 16127–16127. 7 indexed citations
14.
Sulzer, Bernhard, J. Leo van Hemmen, & Ulrich Behn. (1994). Central immune system, the self and autoimmunity. Bulletin of Mathematical Biology. 56(6). 1009–1040. 14 indexed citations
15.
Sulzer, Bernhard, J. Leo van Hemmen, Avidan U. Neumann, & Ulrich Behn. (1993). Memory in idiotypic networks due to competition between proliferation and differentiation. Bulletin of Mathematical Biology. 55(6). 1133–1182. 26 indexed citations
16.
Behn, Ulrich, et al.. (1990). One-dimensional random field Ising model: Residual entropy, magnetization, and the “perestroyka” of the ground state. Physica A Statistical Mechanics and its Applications. 167(2). 481–493. 6 indexed citations
17.
Behn, Ulrich, et al.. (1989). Stratonovich model driven by dichotomous noise: Mean first passage time. The European Physical Journal B. 77(3). 485–490. 12 indexed citations
18.
Behn, Ulrich, et al.. (1988). Stratonovich model driven by dichotomous noise: analytical results. The European Physical Journal B. 71(3). 393–402. 9 indexed citations
19.
Behn, Ulrich, et al.. (1987). Calculation of a characteristic fractal dimension in the one-dimensional random field ising model. The European Physical Journal B. 65(3). 337–339. 16 indexed citations
20.
Behn, Ulrich, et al.. (1985). Electrohydrodynamic instabilities in nematic liquid crystals driven by a dichotomous stochastic voltage. Physics Letters A. 113(2). 85–88. 21 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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