Julian Tugaut

498 citations
29 papers · 274 indexed · h-index 11
Topics
Advanced Thermodynamics and Statistical Mechanics (15 papers)Stochastic processes and statistical mechanics (12 papers)Stochastic processes and financial applications (8 papers)

In The Last Decade

Julian Tugaut

27 papers receiving 249 citations

Peers

Julian Tugaut
Comparison fields: 5 of 39
  • Statistical and Nonlinear Physics 129
  • Mathematical Physics 82
  • Applied Mathematics 75
  • Finance 69
  • Modeling and Simulation 54
Replace Alexander D. Kolesnik with:
Alexander D. Kolesnik Moldova
André Schlichting Germany
Martin Grothaus Germany
Yuri Bakhtin United States
Kenneth J. Hochberg Israel
R. Lefevere Belgium
Olivier Raimond France
Peter Becker–Kern Germany
Fraydoun Rezakhanlou United States
A. Mazel United States
Julian Tugaut relative to Alexander D. Kolesnik Moldova Alexander D. Kolesnik's profile →
Citations per field
00.5×
Alexander D. Kolesnik · 1×
Citations per year

Countries citing papers authored by Julian Tugaut

Since Specialization
Citations

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

Fields of papers citing papers by Julian Tugaut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Tugaut

This figure shows the co-authorship network connecting the top 25 collaborators of Julian Tugaut. A scholar is included among the top collaborators of Julian Tugaut 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 Julian Tugaut. Julian Tugaut 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
#WorkIndexed citations
1 1
2 0
3 2
4 4
5 20
6 1
7 11
8
2
9 2
10 1
11 2
12
10
13 33
14 10
15 14
16 17
17 8
18 17
19 4
20 45

About Julian Tugaut

Julian Tugaut is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 29 papers that have together received 274 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (15 papers), Stochastic processes and statistical mechanics (12 papers) and Stochastic processes and financial applications (8 papers). The work is most often cited by research in Modeling and Simulation (54 citations), Statistical and Nonlinear Physics (129 citations) and Mathematical Physics (82 citations). Julian Tugaut has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Samuel Herrmann, Pierre Del Moral, Manh Hong Duong, Gonçalo dos Reis, Daniel O. Adams, Pierre Monmarché, Milica Tomašević and Bartłomiej Dyda. Their work appears in journals such as Stochastic Processes and their Applications, The Annals of Applied Probability and Comptes Rendus Mathématique.

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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