Jack Carr

23 papers receiving 2.3k citations

Jack Carr's Hit Papers

Applications of Centre Manifold Theory 1981 · 1.5k citations
1.5k0+15+30Years since publication50010001.5k

Peers

Jack Carr
Comparison fields: 5 of 106
  • Modeling and Simulation 368
  • Statistical and Nonlinear Physics 593
  • Numerical Analysis 258
  • Applied Mathematics 387
  • Geometry and Topology 293
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Countries citing papers authored by Jack Carr

Since Specialization
Citations

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

Fields of papers citing papers by Jack Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Jack Carr, 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 Jack Carr Line = papers co-authored together Jack Carr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applications of Centre Manifold Theory
Hit paper breakdown →
19811549
2 2004253
3 1984233
4 197695
5 198553
6 199052
7 198333
8 200332
9 198330
10 198528
11 199217
12 197016
13 197016
14 197611
15 19878
16 19697
17 19823
18 20063
19 19823
20 20003

About Jack Carr

Jack Carr is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Computer Networks and Communications, Civil and Structural Engineering and Geometry and Topology, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Stability and Controllability of Differential Equations (3 papers), Quantum chaos and dynamical systems (3 papers), Structural Analysis and Optimization (3 papers), Advanced Differential Equations and Dynamical Systems (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and Matrix Theory and Algorithms (2 papers). The work is most often cited by research in Modeling and Simulation (368 citations), Statistical and Nonlinear Physics (593 citations), Numerical Analysis (258 citations), Applied Mathematics (387 citations) and Geometry and Topology (293 citations). Jack Carr has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Adam Chmaj, Marshall Slemrod, Morton E. Gurtin, Janet Dyson, Robert L. Pego, Robert G. Muncaster, Shui-Nee Chow, Jack K. Hale, Jan A. Sanders and Stephan A. van Gils. Their work appears in journals such as Proceedings of the Royal Society of Edinburgh Section A Mathematics, Journal of Differential Equations, The Aeronautical Journal, Archive for Rational Mechanics and Analysis and Proceedings 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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