Daniel Matthes

2.0k total citations
55 papers, 1.1k citations indexed

About

Daniel Matthes is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Daniel Matthes has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Applied Mathematics, 13 papers in Statistical and Nonlinear Physics and 12 papers in Computational Mechanics. Recurrent topics in Daniel Matthes's work include Geometric Analysis and Curvature Flows (15 papers), Nonlinear Partial Differential Equations (12 papers) and Fluid Dynamics and Turbulent Flows (10 papers). Daniel Matthes is often cited by papers focused on Geometric Analysis and Curvature Flows (15 papers), Nonlinear Partial Differential Equations (12 papers) and Fluid Dynamics and Turbulent Flows (10 papers). Daniel Matthes collaborates with scholars based in Germany, Austria and Italy. Daniel Matthes's co-authors include Giuseppe Toscani, Ansgar Jüngel, Stefanie Hoehl, Bertram Düring, Ezgi Kayhan, Giuseppe Savaré, Trinh Nguyen, Pascal Vrtička, Hanna Schleihauf and Robert J. McCann and has published in prestigious journals such as Child Development, Scientific Reports and Mathematics of Computation.

In The Last Decade

Daniel Matthes

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Matthes Germany 18 328 235 187 167 147 55 1.1k
Robert Milson Canada 21 391 1.2× 841 3.6× 239 1.3× 8 0.0× 49 0.3× 43 1.6k
Kunio Yasue Japan 18 42 0.1× 393 1.7× 191 1.0× 37 0.2× 103 0.7× 41 1.1k
William D. Kalies United States 15 47 0.1× 167 0.7× 23 0.1× 27 0.2× 168 1.1× 31 632
María J. Cáceres Spain 13 149 0.5× 233 1.0× 146 0.8× 60 0.4× 68 0.5× 26 460
M. Courbage France 16 24 0.1× 528 2.2× 166 0.9× 9 0.1× 183 1.2× 60 879
Robert Ellis United States 21 290 0.9× 172 0.7× 215 1.1× 22 0.1× 1.3k 8.7× 96 2.3k
Kurt Johansson Sweden 22 235 0.7× 94 0.4× 19 0.1× 5 0.0× 1.5k 10.0× 51 2.6k
W. D. Deering United States 10 9 0.0× 301 1.3× 198 1.1× 13 0.1× 37 0.3× 21 1.2k
James F. Glazebrook United States 17 101 0.3× 131 0.6× 194 1.0× 8 0.0× 122 0.8× 70 736
David Borwein Canada 19 420 1.3× 61 0.3× 30 0.2× 23 0.1× 211 1.4× 117 1.2k

Countries citing papers authored by Daniel Matthes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Matthes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Matthes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Matthes. A scholar is included among the top collaborators of Daniel Matthes 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 Daniel Matthes. Daniel Matthes 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.
Matthes, Daniel, et al.. (2025). Diffusive transport on the real line: semi-contractive gradient flows and their discretization. Nonlinearity. 38(11). 115005–115005.
2.
Burger, Martin, Matthias Erbar, Franca Hoffmann, Daniel Matthes, & André Schlichting. (2024). Covariance-Modulated Optimal Transport and Gradient Flows. Archive for Rational Mechanics and Analysis. 249(1). 2 indexed citations
3.
Michel, Christine, Daniel Matthes, & Stefanie Hoehl. (2023). Theta power relates to infant object encoding in naturalistic mother-infant interactions. Child Development. 95(2). 530–543. 5 indexed citations
4.
Beck, Lisa, et al.. (2023). Exponential Convergence to Equilibrium for Coupled Systems of Nonlinear Degenerate Drift Diffusion Equations. SIAM Journal on Mathematical Analysis. 55(3). 1766–1809. 1 indexed citations
5.
Kayhan, Ezgi, Trinh Nguyen, Daniel Matthes, et al.. (2022). Interpersonal neural synchrony when predicting others’ actions during a game of rock-paper-scissors. Scientific Reports. 12(1). 12967–12967. 9 indexed citations
6.
Kayhan, Ezgi, Daniel Matthes, Ira Marriott Haresign, et al.. (2022). DEEP: A dual EEG pipeline for developmental hyperscanning studies. Developmental Cognitive Neuroscience. 54. 101104–101104. 17 indexed citations
7.
Matthes, Daniel, et al.. (2020). Eighteen-month-olds integrate verbal cues into their action processing: Evidence from ERPs and mu power. Infant Behavior and Development. 58. 101414–101414. 3 indexed citations
8.
Nguyen, Trinh, Hanna Schleihauf, Ezgi Kayhan, et al.. (2019). The effects of interaction quality on neural synchrony during mother-child problem solving. Cortex. 124. 235–249. 138 indexed citations
9.
Buttelmann, David, et al.. (2018). Reduced Mu Power in Response to Unusual Actions Is Context-Dependent in 1-Year-Olds. Frontiers in Psychology. 9. 36–36. 17 indexed citations
10.
Cancès, Clément, et al.. (2017). A two-phase two-fluxes degenerate Cahn-Hilliard model as constrained Wasserstein gradient flow. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations
11.
Bassetti, Federico & Daniel Matthes. (2013). Multi-dimensional smoothing transformations: Existence, regularity and stability of fixed points. Stochastic Processes and their Applications. 124(1). 154–198. 3 indexed citations
12.
Matthes, Daniel, et al.. (2013). Convergence of a variational Lagrangian scheme for a nonlinear drift diffusion equation. ESAIM Mathematical Modelling and Numerical Analysis. 48(3). 697–726. 30 indexed citations
13.
Lisini, Stefano, Daniel Matthes, & Giuseppe Savaré. (2012). Cahn–Hilliard and thin film equations with nonlinear mobility as gradient flows in weighted-Wasserstein metrics. Journal of Differential Equations. 253(2). 814–850. 39 indexed citations
14.
Amster, Pablo, Ansgar Jüngel, & Daniel Matthes. (2008). Non-homogeneous boundary conditions for a fourth-order diffusion equation. Comptes Rendus Mathématique. 346(3-4). 143–148.
15.
Matthes, Daniel & Giuseppe Toscani. (2008). Analysis of a model for wealth redistribution. Kinetic and Related Models. 1(1). 1–27. 16 indexed citations
16.
Düring, Bertram, Daniel Matthes, & Giuseppe Toscani. (2008). Kinetic equations modelling wealth redistribution: A comparison of approaches. Physical Review E. 78(5). 56103–56103. 87 indexed citations
17.
Jüngel, Ansgar, et al.. (2006). Derivation of New Quantum Hydrodynamic Equations Using Entropy Minimization. SIAM Journal on Applied Mathematics. 67(1). 46–68. 40 indexed citations
18.
Jüngel, Ansgar & Daniel Matthes. (2005). A derivation of the isothermal quantum hydrodynamic equations using entropy minimization. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 85(11). 806–814. 25 indexed citations
19.
Matthes, Daniel, et al.. (1978). [Differences between indirectly and directly determined blood pressure values].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 73(11). 371–6. 3 indexed citations
20.
Matthes, Daniel, D Opherk, & H Mörl. (1978). [Detection of peripheral arteriosclerosis obliterans in patients with coronary heart disease and reduced coronary reserve].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 7(2). 138–42. 2 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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