J.M. Pearson

592 citations
18 papers · 470 · h-index 15

Impact in

Papers in

J.M. Pearson

18 papers receiving 415 citations

Peers

J.M. Pearson
Comparison fields: 5 of 46
  • Geometry and Topology 384
  • Statistical and Nonlinear Physics 273
  • Applied Mathematics 68
  • Computational Theory and Mathematics 91
  • Algebra and Number Theory 23
Replace Marco Sabatini with:
Marco Sabatini Italy
Maite Grau Spain
Henryk Żołądek Poland
Jean Moulin Ollagnier France
Francesc Mañosas Spain
Adriana Buică Romania
Claudio A. Buzzi Brazil
Zalman Balanov Israel
Alcides Lins Neto Brazil
E. Gamero Spain
J.M. Pearson relative to Marco Sabatini Italy Marco Sabatini's profile →
Citations per field
00.5×1.7×
Marco Sabatini · 1×
Citations per year

Countries citing papers authored by J.M. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Pearson. 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 J.M. Pearson. The network helps show where J.M. Pearson may publish in the future.

Co-authors

The 4 scholars most cited alongside J.M. Pearson, 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 J.M. Pearson Line = papers co-authored together J.M. Pearson links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 199869
2 199264
3 199037
4
CENTRES AND LIMIT CYCLES FOR AN EXTENDED KUKLES SYSTEM
200735
5 199635
6
Transformation to Lienard form
200034
7 200233
8 201023
9 199923
10 201218
11 195917
12 199616
13 200216
14 199715
15 200614
16 199712
17 20087
18 20072

About J.M. Pearson

J.M. Pearson is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Mathematical Physics and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced Differential Equations and Dynamical Systems (15 papers), Quantum chaos and dynamical systems (12 papers), Polynomial and algebraic computation (4 papers), Mathematical Dynamics and Fractals (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Lipid metabolism and biosynthesis (2 papers), Nonlinear Waves and Solitons (2 papers) and Numerical methods for differential equations (1 paper). The work is most often cited by research in Geometry and Topology (384 citations), Statistical and Nonlinear Physics (273 citations), Applied Mathematics (68 citations), Computational Theory and Mathematics (91 citations) and Algebra and Number Theory (23 citations). J.M. Pearson has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include N. G. Lloyd, Eduardo Sáez, James A. Davis and E.M. Gelbard. Their work appears in journals such as Computers & Mathematics with Applications, Publicacions Matemàtiques, Nuclear Science and Engineering, Journal of Mathematical Analysis and Applications 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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