Michael Shub

7.1k citations
104 papers · 4.9k · 3 hit papers · h-index 29

Impact in

Papers in

Michael Shub

96 papers receiving 4.2k citations

Michael Shub's Hit Papers

Complexity and Real Computation 1998 · 608 citations
6080+16+32Years since publication250500750

Peers

Michael Shub
Comparison fields: 5 of 111
  • Mathematical Physics 2.4k
  • Geometry and Topology 1.7k
  • Statistical and Nonlinear Physics 1.7k
  • Numerical Analysis 522
  • Computational Mathematics 55
Replace Richard Beals with:
Richard Beals United States
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M. Ram Murty Canada
Mike Shub United States
M. Г. Крейн Germany
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Citations per year

Countries citing papers authored by Michael Shub

Since Specialization
Citations

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

Fields of papers citing papers by Michael Shub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Shub, 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 Michael Shub Line = papers co-authored together Michael Shub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Invariant Manifolds
Hit paper breakdown →
1977989
2
Complexity and Real Computation
Hit paper breakdown →
1998608
3
Global Stability of Dynamical Systems
Hit paper breakdown →
1987530
4 1969223
5 1993178
6 1993166
7 1993137
8 1994112
9 1996110
10 198998
11 198996
12 200093
13 198583
14 199775
15 197074
16 197272
17 199470
18 198365
19 199762
20 200059

About Michael Shub

Michael Shub is a scholar working on Mathematical Physics, Geometry and Topology, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Theoretical Computer Science, having authored 104 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (39 papers), Polynomial and algebraic computation (16 papers), Quantum chaos and dynamical systems (15 papers), Advanced Differential Equations and Dynamical Systems (14 papers), Advanced Optimization Algorithms Research (7 papers), History and Theory of Mathematics (6 papers), Chaos control and synchronization (6 papers) and Computability, Logic, AI Algorithms (6 papers). The work is most often cited by research in Mathematical Physics (2.4k citations), Geometry and Topology (1.7k citations), Statistical and Nonlinear Physics (1.7k citations), Numerical Analysis (522 citations) and Computational Mathematics (55 citations). Michael Shub has collaborated with scholars based in United States, Spain and Hong Kong. Frequent co-authors include Charles Chapman Pugh, Steve Smale, Morris W. Hirsch, Felipe Cucker, Lenore Blum, Amie Wilkinson, Nimrod Megiddo, Eric Kostlan, Alan S. Edelman and Dennis Sullivan. Their work appears in journals such as Foundations of Computational Mathematics, Lecture notes in mathematics, Journal of Complexity, Inventiones mathematicae and Transactions of the American Mathematical Society.

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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