Mathew A. Johnson

1.1k citations
39 papers · 564 · h-index 17

Impact in

Papers in

Mathew A. Johnson

35 papers receiving 535 citations

Peers

Mathew A. Johnson
Comparison fields: 5 of 45
  • Mathematical Physics 299
  • Statistical and Nonlinear Physics 322
  • Numerical Analysis 42
  • Applied Mathematics 74
  • Modeling and Simulation 23
Replace Pascal Noble with:
Pascal Noble France
Jürgen Scheurle Germany
S. M. Sun United States
Alexei Ilyin Russia
H.A. Erbay Türkiye
Dionyssios Mantzavinos United States
V. I. Yudovich Russia
Benjamin Texier France
Dmitry Treschev Russia
Mathew A. Johnson relative to Pascal Noble France Pascal Noble's profile →
Citations per field
00.5×1.5×2.1×
Pascal Noble · 1×
Citations per year

Countries citing papers authored by Mathew A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Mathew A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathew A. Johnson. 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 Mathew A. Johnson. The network helps show where Mathew A. Johnson may publish in the future.

Co-authors

The 14 scholars most cited alongside Mathew A. Johnson, 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 Mathew A. Johnson Line = papers co-authored together Mathew A. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196651
2 200940
3 201137
4 201336
5 201332
6 201329
7 195924
8 201221
9 201021
10 201220
11 201520
12 201419
13 201018
14 201017
15 201117
16 201416
17 201016
18 201015
19 201214
20 201114

About Mathew A. Johnson

Mathew A. Johnson is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Computer Networks and Communications, Control and Systems Engineering and Applied Mathematics, having authored 39 papers that have together received 564 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (25 papers), Nonlinear Photonic Systems (19 papers), Nonlinear Waves and Solitons (19 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Stability and Controllability of Differential Equations (6 papers), Navier-Stokes equation solutions (5 papers), Quantum chaos and dynamical systems (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Mathematical Physics (299 citations), Statistical and Nonlinear Physics (322 citations), Numerical Analysis (42 citations), Applied Mathematics (74 citations) and Modeling and Simulation (23 citations). Mathew A. Johnson has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Kevin Zumbrun, Pascal Noble, Jared C. Bronski, Todd Kapitula, L. Miguel Rodrigues, Russell B. Mesler, P. C. Clemmow, Vera Mikyoung Hur, Luı́s Rodrigues and Mariana Hărăguş. Their work appears in journals such as Physica D Nonlinear Phenomena, SIAM Journal on Mathematical Analysis, Communications in Mathematical Physics, Archive for Rational Mechanics and Analysis and Journal of Differential Equations.

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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