Nicolas Dirr

525 citations
37 papers · 320 · h-index 11

Impact in

Papers in

    • Stochastic processes and statistical mechanics 12
    • Numerical methods in inverse problems 5
    • Nonlinear Partial Differential Equations 12
    • Geometric Analysis and Curvature Flows 10

Nicolas Dirr

34 papers receiving 303 citations

Peers

Nicolas Dirr
Comparison fields: 5 of 42
  • Mathematical Physics 110
  • Applied Mathematics 111
  • Computational Theory and Mathematics 125
  • Condensed Matter Physics 69
  • Modeling and Simulation 26
Replace Maria G. Reznikoff with:
Maria G. Reznikoff Germany
Martin Grothaus Germany
Fraydoun Rezakhanlou United States
Bertrand Lods Italy
Stanislaus Maier‐Paape Germany
Maria C. Carvalho United States
Charles K. Smart United States
Frédéric Hérau France
Milton Jara Brazil
R. Lefevere Belgium
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Citations per field
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Citations per year

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-authors

The 24 scholars most cited alongside Nicolas Dirr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicolas Dirr Line = papers co-authored together Nicolas Dirr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200640
2
2 Large deviations and gradient flows
201234
3 200128
4 201023
5 200821
6
Entropic and gradient flow formulations for nonlinear diffusion
201618
7 201116
8 201914
9 200613
10 201813
11 200513
12 200611
13 20088
14 20127
15 20106
16 20066
17 20245
18 20195
19 20165
20 20105

About Nicolas Dirr

Nicolas Dirr is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Condensed Matter Physics and Statistics and Probability, having authored 37 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (18 papers), Stochastic processes and statistical mechanics (12 papers), Nonlinear Partial Differential Equations (12 papers), Geometric Analysis and Curvature Flows (10 papers), Theoretical and Computational Physics (9 papers), Markov Chains and Monte Carlo Methods (5 papers), Solidification and crystal growth phenomena (5 papers) and Numerical methods in inverse problems (5 papers). The work is most often cited by research in Mathematical Physics (110 citations), Applied Mathematics (111 citations), Computational Theory and Mathematics (125 citations), Condensed Matter Physics (69 citations) and Modeling and Simulation (26 citations). Nicolas Dirr has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Nung Kwan Yip, Johannes Zimmer, Matteo Novaga, Stephan Luckhaus, Michael Scheutzow, Patrick Dondl, Panagiotis E. Souganidis, Stefan Adams, Marcello Lucia and Celia Reina. Their work appears in journals such as Interfaces and Free Boundaries Mathematical Analysis Computation and Applications, SIAM Journal on Mathematical Analysis, Communications in Mathematical Physics, Journal of the Mechanics and Physics of Solids and Journal of Statistical Physics.

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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