Reimer Kühn

2.9k total citations
103 papers, 1.9k citations indexed

About

Reimer Kühn is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Reimer Kühn has authored 103 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistical and Nonlinear Physics, 24 papers in Condensed Matter Physics and 21 papers in Artificial Intelligence. Recurrent topics in Reimer Kühn's work include Complex Network Analysis Techniques (31 papers), Theoretical and Computational Physics (24 papers) and Neural Networks and Applications (18 papers). Reimer Kühn is often cited by papers focused on Complex Network Analysis Techniques (31 papers), Theoretical and Computational Physics (24 papers) and Neural Networks and Applications (18 papers). Reimer Kühn collaborates with scholars based in Germany, United Kingdom and Israel. Reimer Kühn's co-authors include J. Leo van Hemmen, Peter Neu, Tim Rogers, A. W. Castleman, Andreas V. M. Herz, Uwe Riedel, Isaac Pérez Castillo, Peter Sollich, C. Hartnig and Ingo Manke and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Reimer Kühn

100 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reimer Kühn Germany 25 508 397 324 320 283 103 1.9k
H.-J. Sommers Germany 24 1.1k 2.2× 575 1.4× 981 3.0× 373 1.2× 453 1.6× 33 2.4k
M. Y. Choi South Korea 30 1.3k 2.6× 945 2.4× 984 3.0× 248 0.8× 487 1.7× 233 4.2k
Jason A. C. Gallas Brazil 34 2.4k 4.8× 765 1.9× 298 0.9× 132 0.4× 211 0.7× 192 4.3k
Matthew Sands United States 13 461 0.9× 921 2.3× 99 0.3× 285 0.9× 68 0.2× 28 2.4k
Bosiljka Tadić Slovenia 27 926 1.8× 358 0.9× 874 2.7× 94 0.3× 116 0.4× 120 2.4k
Michael Menzinger Canada 29 684 1.3× 870 2.2× 344 1.1× 69 0.2× 125 0.4× 142 3.3k
Robert Nyden Hill United States 18 1.1k 2.1× 1.5k 3.7× 147 0.5× 190 0.6× 82 0.3× 37 3.7k
Società italiana di fisica Germany 19 231 0.5× 582 1.5× 238 0.7× 60 0.2× 86 0.3× 62 1.8k
William C. Schieve United States 22 841 1.7× 682 1.7× 118 0.4× 226 0.7× 84 0.3× 121 1.6k
P. Bergé France 23 1.0k 2.1× 360 0.9× 381 1.2× 88 0.3× 101 0.4× 82 2.7k

Countries citing papers authored by Reimer Kühn

Since Specialization
Citations

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

Fields of papers citing papers by Reimer Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reimer Kühn

This figure shows the co-authorship network connecting the top 25 collaborators of Reimer Kühn. A scholar is included among the top collaborators of Reimer Kühn 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 Reimer Kühn. Reimer Kühn 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.
Biham, Ofer, et al.. (2025). The joint distribution of first return times and of the number of distinct sites visited by a 1D random walk before returning to the origin. Journal of Statistical Mechanics Theory and Experiment. 2025(1). 13203–13203.
3.
Biham, Ofer, et al.. (2023). Distribution of the number of cycles in directed and undirected random regular graphs of degree 2. Physical review. E. 107(2). 24308–24308.
4.
Biham, Ofer, et al.. (2022). The mean and variance of the distribution of shortest path lengths of random regular graphs. Journal of Physics A Mathematical and Theoretical. 55(26). 265005–265005. 5 indexed citations
5.
Kühn, Reimer, et al.. (2022). Uncovering the non-equilibrium stationary properties in sparse Boolean networks. arXiv (Cornell University). 5 indexed citations
6.
Biham, Ofer, et al.. (2021). Fate of articulation points and bredges in percolation. Physical review. E. 103(4). 42302–42302. 3 indexed citations
7.
Annibale, Alessia, et al.. (2021). Overcoming the complexity barrier of the dynamic message-passing method in networks with fat-tailed degree distributions. arXiv (Cornell University). 3 indexed citations
8.
Biham, Ofer, et al.. (2020). Statistical analysis of edges and bredges in configuration model networks. Physical review. E. 102(1). 12314–12314. 4 indexed citations
9.
Kühn, Reimer, et al.. (2019). Percolation in bipartite Boolean networks and its role in sustaining life. Journal of Physics A Mathematical and Theoretical. 52(33). 334002–334002. 5 indexed citations
10.
Biham, Ofer, et al.. (2018). Revealing the microstructure of the giant component in random graph ensembles. Physical review. E. 97(4). 42318–42318. 19 indexed citations
11.
Anand, Kartik, et al.. (2018). Structural model for fluctuations in financial markets. Physical review. E. 97(5). 52312–52312. 7 indexed citations
12.
Annibale, Alessia, et al.. (2017). Cell reprogramming modelled as transitions in a hierarchy of cell cycles. Journal of Physics A Mathematical and Theoretical. 50(42). 425601–425601. 9 indexed citations
13.
Biham, Ofer, et al.. (2017). Distribution of shortest cycle lengths in random networks. Physical review. E. 96(6). 62307–62307. 18 indexed citations
14.
Nitzan, Mor, Eytan Katzav, Reimer Kühn, & Ofer Biham. (2016). Distance distribution in configuration-model networks. Physical review. E. 93(6). 62309–62309. 20 indexed citations
15.
Rogers, Tim, et al.. (2008). Cavity approach to the spectral density of sparse symmetric random matrices. Physical Review E. 78(3). 31116–31116. 88 indexed citations
16.
Kühn, Reimer & Ion-Olimpiu Stamatescu. (2007). Learning with incomplete information and the mathematical structure behind it. Biological Cybernetics. 97(1). 99–112. 2 indexed citations
17.
Kühn, Reimer, et al.. (1999). Critical behavior of the two-dimensional spin-diluted Ising model via the equilibrium ensemble approach. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 60(4). 3823–3836. 42 indexed citations
18.
Lang, Andreas, et al.. (1996). Procedures used for optically and infrared stimulated luminescence dating of sediments in Heidelberg. Ancient TL. 14(3). 7–11. 43 indexed citations
19.
Herz, Andreas V. M., et al.. (1989). Hebbian learning reconsidered: Representation of static and dynamic objects in associative neural nets. Biological Cybernetics. 60(6). 457–467. 75 indexed citations
20.
Ferguson, E. E., et al.. (1988). The role of rotational tunneling in the metastable decay of rare gas cluster ions. The Journal of Chemical Physics. 88(10). 6335–6340. 34 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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