Mikhail Lyubich

3.4k citations
67 papers · 1.5k indexed · h-index 22
Topics
Mathematical Dynamics and Fractals (53 papers)Quantum chaos and dynamical systems (21 papers)Advanced Differential Equations and Dynamical Systems (20 papers)

In The Last Decade

Mikhail Lyubich

59 papers receiving 1.3k citations

Peers

Mikhail Lyubich
Comparison fields: 5 of 48
  • Mathematical Physics 1.4k
  • Geometry and Topology 866
  • Statistical and Nonlinear Physics 703
  • Applied Mathematics 409
  • Computational Theory and Mathematics 135
Replace D. V. Anosov with:
D. V. Anosov Russia
Anthony Manning United Kingdom
Viviane Baladi France
Feliks Przytycki Poland
J. Smı́tal Czechia
Christian Bonatti France
Marcelo Viana Brazil
Tomasz Downarowicz Poland
Elon Lindenstrauss Israel
Artur O. Lopes Brazil
Mikhail Lyubich relative to D. V. Anosov Russia D. V. Anosov's profile →
Citations per field
00.5×4.6×
D. V. Anosov · 1×
Citations per year

Countries citing papers authored by Mikhail Lyubich

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Lyubich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Lyubich

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Lyubich. A scholar is included among the top collaborators of Mikhail Lyubich 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 Mikhail Lyubich. Mikhail Lyubich 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
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Graphs and patterns in mathematics and theoretical physics : proceedings of the Conference on Graphs and Patterns in Mathematics and Theoretical Physics, dedicated to Dennis Sullivan's 60th birthday, June 14-21, 2001, Stony Brook University, Stony Brook, New York
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12 24
13 10
14 94
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About Mikhail Lyubich

Mikhail Lyubich is a scholar working on Mathematical Physics, Geometry and Topology and Statistical and Nonlinear Physics, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (53 papers), Quantum chaos and dynamical systems (21 papers) and Advanced Differential Equations and Dynamical Systems (20 papers). The work is most often cited by research in Mathematical Physics (1.4k citations), Geometry and Topology (866 citations) and Statistical and Nonlinear Physics (703 citations). Mikhail Lyubich has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Alexandre Erëmenko, Alexander Blokh, Artur Avila, Yair N. Minsky, John Milnor, Jeremy Kahn, John Smillie, Eric Bedford, Welington de Melo and Michael Yampolsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications in Mathematical Physics and Annals of Mathematics.

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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