B. Mehlig

5.2k total citations · 1 hit paper
157 papers, 3.6k citations indexed

About

B. Mehlig is a scholar working on Ocean Engineering, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, B. Mehlig has authored 157 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ocean Engineering, 41 papers in Computational Mechanics and 33 papers in Statistical and Nonlinear Physics. Recurrent topics in B. Mehlig's work include Particle Dynamics in Fluid Flows (61 papers), Aeolian processes and effects (32 papers) and Quantum chaos and dynamical systems (27 papers). B. Mehlig is often cited by papers focused on Particle Dynamics in Fluid Flows (61 papers), Aeolian processes and effects (32 papers) and Quantum chaos and dynamical systems (27 papers). B. Mehlig collaborates with scholars based in Sweden, United Kingdom and Germany. B. Mehlig's co-authors include K. Gustavsson, Michael Wilkinson, J. T. Chalker, Bruce M. Forrest, J. Einarsson, Dieter W. Heermann, Erik Werner, Marina Rafajlović, Roger K. Butlin and Giovanni Volpe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

B. Mehlig

151 papers receiving 3.5k citations

Hit Papers

Interpreting the genomic landscape of speciation: a road ... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow
    2017 335 citations B. Mehlig et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Mehlig Sweden 29 1.3k 1.0k 716 505 482 157 3.6k
Antonio Celani Italy 36 844 0.6× 2.0k 2.0× 252 0.4× 491 1.0× 78 0.2× 118 4.1k
P. Ortoleva United States 41 667 0.5× 287 0.3× 297 0.4× 471 0.9× 86 0.2× 192 5.7k
Massimo Cencini Italy 26 995 0.8× 1.1k 1.1× 487 0.7× 241 0.5× 47 0.1× 92 2.6k
W. R. Young United States 44 471 0.4× 1.8k 1.8× 280 0.4× 271 0.5× 71 0.1× 170 6.2k
A. J. Roberts Australia 33 182 0.1× 626 0.6× 219 0.3× 213 0.4× 420 0.9× 179 4.1k
Tamás Tél Hungary 44 339 0.3× 707 0.7× 182 0.3× 255 0.5× 106 0.2× 193 6.2k
Julyan H. E. Cartwright Spain 34 207 0.2× 250 0.2× 144 0.2× 724 1.4× 155 0.3× 155 4.0k
S. I. Rubinow United States 27 599 0.5× 1.0k 1.0× 96 0.1× 599 1.2× 143 0.3× 49 3.3k
Bruno Eckhardt Germany 50 527 0.4× 3.5k 3.5× 118 0.2× 663 1.3× 131 0.3× 195 8.2k
Arshad Kudrolli United States 36 625 0.5× 1.9k 1.9× 104 0.1× 584 1.2× 33 0.1× 97 4.4k

Countries citing papers authored by B. Mehlig

Since Specialization
Citations

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

Fields of papers citing papers by B. Mehlig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Mehlig

This figure shows the co-authorship network connecting the top 25 collaborators of B. Mehlig. A scholar is included among the top collaborators of B. Mehlig 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 B. Mehlig. B. Mehlig 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.
Candelier, Fabien, et al.. (2025). Torques on curved atmospheric fibers. Physical Review Research. 7(1).
2.
Bec, Jérémie, et al.. (2024). Finite-Time Lyapunov Exponents of Deep Neural Networks. Physical Review Letters. 132(5). 57301–57301. 8 indexed citations
3.
Gustavsson, K., et al.. (2024). Inertia Induces Strong Orientation Fluctuations of Nonspherical Atmospheric Particles. Physical Review Letters. 132(3). 34101–34101. 9 indexed citations
4.
Meibohm, Jan, et al.. (2024). Caustic formation in a non-Gaussian model for turbulent aerosols. Physical Review Fluids. 9(2). 1 indexed citations
5.
Yang, Henry T. Y., et al.. (2023). Looking at the posterior: accuracy and uncertainty of neural-network predictions. Machine Learning Science and Technology. 4(4). 45032–45032.
6.
Meibohm, Jan, K. Gustavsson, & B. Mehlig. (2023). Caustics in turbulent aerosols form along the Vieillefosse line at weak particle inertia. Physical Review Fluids. 8(2). 6 indexed citations
7.
Gustavsson, K., et al.. (2022). Colliding Ice Crystals in Turbulent Clouds. Journal of the Atmospheric Sciences. 79(9). 2205–2218. 10 indexed citations
8.
Meibohm, Jan & B. Mehlig. (2019). Heavy particles in a persistent random flow with traps. Physical review. E. 100(2). 23102–23102. 2 indexed citations
9.
Mehlig, B.. (2019). Artificial Neural Networks.. arXiv (Cornell University). 3 indexed citations
10.
Werner, Erik, et al.. (2017). One-Parameter Scaling Theory for DNA Extension in a Nanochannel. Physical Review Letters. 119(26). 268102–268102. 25 indexed citations
11.
Muralidhar, Abhiram, et al.. (2015). Finite-size corrections for confined polymers in the extended de Gennes regime. Physical Review E. 92(6). 62601–62601. 9 indexed citations
12.
Rosén, Tomas, J. Einarsson, Arne Nordmark, et al.. (2015). Numerical analysis of the angular motion of a neutrally buoyant spheroid in shear flow at small Reynolds numbers. Physical Review E. 92(6). 63022–63022. 28 indexed citations
13.
Gustavsson, K. & B. Mehlig. (2013). RESEARCH ARTICLE Relative velocities of inertial particles in turbulent aerosols. arXiv (Cornell University). 1 indexed citations
14.
Gustavsson, K. & B. Mehlig. (2013). Distribution of velocity gradients and rate of caustic formation in turbulent aerosols at finite Kubo numbers. Physical Review E. 87(2). 23016–23016. 19 indexed citations
15.
Wilkinson, Michael, et al.. (2012). Universal anomalous diffusion of weakly damped particles. Physical Review E. 85(6). 61128–61128. 2 indexed citations
16.
Gustavsson, K. & B. Mehlig. (2011). Distribution of relative velocities in turbulent aerosols. Physical Review E. 84(4). 45304–45304. 52 indexed citations
17.
Mehlig, B., et al.. (2009). Multiple regimes of diffusion. Physical Review E. 80(1). 11139–11139. 4 indexed citations
18.
Moseler, Michael, et al.. (2005). Understanding of the Phase Transformation from Fullerite to Amorphous Carbon at the Microscopic Level. Physical Review Letters. 94(16). 165503–165503. 24 indexed citations
19.
Mehlig, B. & Michael Wilkinson. (2001). Spectral correlations: Understanding oscillatory contributions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(4). 45203–45203. 3 indexed citations
20.
Uski, Ville, B. Mehlig, & Rudolf A. Römer. (1998). A numerical study of wave-function and matrix-element statistics in the Anderson model of localization. arXiv (Cornell University). 4 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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