Nicolas Dirr

473 total citations
32 papers, 217 citations indexed

About

Nicolas Dirr is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Nicolas Dirr has authored 32 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 15 papers in Mathematical Physics and 15 papers in Applied Mathematics. Recurrent topics in Nicolas Dirr's work include Advanced Mathematical Modeling in Engineering (16 papers), Nonlinear Partial Differential Equations (11 papers) and Stochastic processes and statistical mechanics (10 papers). Nicolas Dirr is often cited by papers focused on Advanced Mathematical Modeling in Engineering (16 papers), Nonlinear Partial Differential Equations (11 papers) and Stochastic processes and statistical mechanics (10 papers). Nicolas Dirr collaborates with scholars based in United Kingdom, Germany and Italy. Nicolas Dirr's co-authors include Nung Kwan Yip, Matteo Novaga, Johannes Zimmer, Stephan Luckhaus, Panagiotis E. Souganidis, Georgia Karali, Marcello Lucia, Celia Reina, Michael Scheutzow and Patrick Dondl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Mechanics and Physics of Solids and Communications in Mathematical Physics.

In The Last Decade

Nicolas Dirr

29 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Dirr United Kingdom 9 93 80 68 43 39 32 217
Maria G. Reznikoff Germany 8 71 0.8× 55 0.7× 61 0.9× 45 1.0× 35 0.9× 10 250
Edoardo Mainini Italy 10 98 1.1× 107 1.3× 71 1.0× 12 0.3× 48 1.2× 29 291
Matías G. Delgadino United Kingdom 8 56 0.6× 109 1.4× 52 0.8× 23 0.5× 10 0.3× 14 215
R. Lefevere Belgium 9 32 0.3× 69 0.9× 84 1.2× 63 1.5× 17 0.4× 16 268
Stefano Lisini Italy 10 76 0.8× 192 2.4× 47 0.7× 9 0.2× 22 0.6× 13 294
Alain Soyeur France 6 117 1.3× 100 1.3× 169 2.5× 32 0.7× 8 0.2× 6 315
Christian Seis Germany 10 49 0.5× 136 1.7× 45 0.7× 11 0.3× 29 0.7× 26 228
Konstantin Pankrashkin France 11 198 2.1× 95 1.2× 376 5.5× 11 0.3× 27 0.7× 54 464
Mathias Wilke Germany 8 147 1.6× 204 2.5× 92 1.4× 17 0.4× 92 2.4× 20 315
H. T. Yau United States 12 44 0.5× 76 0.9× 236 3.5× 108 2.5× 11 0.3× 13 365

Countries citing papers authored by Nicolas Dirr

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Dirr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Dirr

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Dirr. A scholar is included among the top collaborators of Nicolas Dirr 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 Nicolas Dirr. Nicolas Dirr 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.
Huang, Shenglin, et al.. (2024). Statistical-Physics-Informed Neural Networks (Stat-PINNs): A machine learning strategy for coarse-graining dissipative dynamics. Journal of the Mechanics and Physics of Solids. 194. 105908–105908. 3 indexed citations
2.
Dirr, Nicolas, et al.. (2020). On stochastic porous-medium equations with critical-growth conservative multiplicative noise. Discrete and Continuous Dynamical Systems. 41(6). 2829–2871. 2 indexed citations
3.
Dirr, Nicolas, et al.. (2018). Computing diffusivities from particle models out of equilibrium. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 474(2212). 20170694–20170694. 11 indexed citations
4.
Dirr, Nicolas, et al.. (2017). Hydrodynamic Limit of Condensing Two-Species Zero Range Processes with Sub-critical Initial Profiles. Journal of Statistical Physics. 168(4). 794–825. 3 indexed citations
5.
Cesaroni, Annalisa, Nicolas Dirr, & Matteo Novaga. (2017). Homogenization of a semilinear heat equation. CINECA IRIS Institutial research information system (University of Pisa). 4. 633–660. 1 indexed citations
6.
Cesaroni, Annalisa, et al.. (2016). Homogenization of a Mean Field Game System in the Small Noise Limit. SIAM Journal on Mathematical Analysis. 48(4). 2701–2729. 5 indexed citations
7.
Dirr, Nicolas & Enza Orlandi. (2014). Uniqueness of the minimizer for a random non-local functional with double-well potential in\( d\leq2 \). Annales de l Institut Henri Poincaré C Analyse Non Linéaire. 32(3). 593–622.
8.
Dirr, Nicolas, et al.. (2012). Upscaling from particle models to entropic gradient flows. Journal of Mathematical Physics. 53(6). 8 indexed citations
9.
Dirr, Nicolas & Enza Orlandi. (2011). Unique minimizer for a random functional with double-well potential in dimension 1 and 2. Communications in Mathematical Sciences. 9(2). 331–351. 1 indexed citations
10.
Dirr, Nicolas, Patrick Dondl, & Michael Scheutzow. (2011). Pinning of interfaces in random media. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 13(3). 411–421. 8 indexed citations
11.
Adams, Stefan, et al.. (2010). From a large-deviations principle to the Wasserstein gradient flow: a new micro-macro passage. Data Archiving and Networked Services (DANS). 1024. 1 indexed citations
12.
Coville, Jérôme, et al.. (2010). Non-existence of positive stationary solutions for a class ofsemi-linear PDEs with random coefficients. Networks and Heterogeneous Media. 5(4). 745–763. 4 indexed citations
13.
Dirr, Nicolas & Enza Orlandi. (2009). Sharp-Interface Limit of a Ginzburg–Landau Functional with a Random External Field. SIAM Journal on Mathematical Analysis. 41(2). 781–824. 3 indexed citations
14.
Dirr, Nicolas, Georgia Karali, & Nung Kwan Yip. (2008). Pulsating wave for mean curvature flow in inhomogeneous medium. European Journal of Applied Mathematics. 19(6). 661–699. 22 indexed citations
15.
Bellettini, Giovanni, Anna De Masi, Nicolas Dirr, & E. Presutti. (2007). Tunnelling in two dimensions. 269. 715–763.
16.
Bellettini, Giovanni, Anna De Masi, Nicolas Dirr, & E. Presutti. (2006). Tunneling in Two Dimensions. Communications in Mathematical Physics. 269(3). 715–763. 7 indexed citations
17.
Dirr, Nicolas & Nung Kwan Yip. (2006). Pinning and de-pinning phenomena in front propagation in heterogeneous media. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 8(1). 79–109. 35 indexed citations
18.
Dirr, Nicolas & Panagiotis E. Souganidis. (2005). Large-Time Behavior for Viscous and Nonviscous Hamilton--Jacobi Equations Forced by Additive Noise. SIAM Journal on Mathematical Analysis. 37(3). 777–796. 14 indexed citations
19.
Dirr, Nicolas. (2004). A Stefan Problem with Surface Tension as the Sharp Interface Limit of a Nonlocal System of Phase-Field Type. Journal of Statistical Physics. 114(3-4). 1085–1113. 3 indexed citations
20.
Dirr, Nicolas, Stephan Luckhaus, & Matteo Novaga. (2001). A stochastic selection principle in case of fattening for curvature flow. Calculus of Variations and Partial Differential Equations. 13(4). 405–425. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Maria G. Reznikoff Breakdown of academic impact, for papers by Edoardo Mainini Breakdown of academic impact, for papers by Matías G. Delgadino Breakdown of academic impact, for papers by R. Lefevere Breakdown of academic impact, for papers by Stefano Lisini Breakdown of academic impact, for papers by Alain Soyeur Breakdown of academic impact, for papers by Christian Seis Breakdown of academic impact, for papers by Konstantin Pankrashkin Breakdown of academic impact, for papers by Mathias Wilke Breakdown of academic impact, for papers by H. T. Yau
Rankless by CCL
2026