Jan Naudts

1.9k citations
80 papers · 1.3k indexed · h-index 17
Topics
Statistical Mechanics and Entropy (24 papers)Advanced Thermodynamics and Statistical Mechanics (19 papers)Complex Systems and Time Series Analysis (10 papers)
Partner nations
BelgiumGermanyPoland

In The Last Decade

Jan Naudts

74 papers receiving 1.2k citations

Peers

Jan Naudts
Comparison fields: 5 of 93
  • Statistical and Nonlinear Physics 517
  • Materials Chemistry 492
  • Atomic and Molecular Physics, and Optics 375
  • Economics and Econometrics 163
  • Condensed Matter Physics 152
Replace F. C. Sá Barreto with:
F. C. Sá Barreto Brazil
Tohru Morita Japan
I. J. Zucker United Kingdom
M. R. Hoare United Kingdom
I. P. Omelyan Ukraine
R. Folk Austria
I. M. Mryglod Ukraine
K. K. Mon United States
J. L. Lebowitz United States
G S Joyce United Kingdom
Jan Naudts relative to F. C. Sá Barreto Brazil F. C. Sá Barreto's profile →
Citations per field
00.5×1.5×2.0×
F. C. Sá Barreto · 1×
Citations per year

Countries citing papers authored by Jan Naudts

Since Specialization
Citations

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

Fields of papers citing papers by Jan Naudts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Naudts

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Naudts. A scholar is included among the top collaborators of Jan Naudts 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 Jan Naudts. Jan Naudts 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 0
2 3
3 15
4 5
5 3
6 35
7 6
8 0
9
Dynamic and thermodynamic stability of non-extensive systems
2
10 2
11 4
12 5
13
Fitness landscapes and problem difficulty: the effect of spin-flip symmetry on the performance of the simple GA
1
14 2
15 4
16
The Primary Energy Dependence of Backscattered Electron Images Up to 100 keV
1
17 5
18 0
19 9
20 2

About Jan Naudts

Jan Naudts is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Statistics and Probability, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (24 papers), Advanced Thermodynamics and Statistical Mechanics (19 papers) and Complex Systems and Time Series Analysis (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (517 citations), Statistics and Probability (131 citations) and Condensed Matter Physics (152 citations). Jan Naudts has collaborated with scholars based in Belgium, Germany and Poland. Frequent co-authors include K. H. Michel, Marek Czachor, A. Verbeure, Tobias Verhulst, J. J. Rush, Jacob M. Rowe, Erik Van der Straeten, Bart De Raedt, Ricardo Weder and Marc Aertsens. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

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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