Stephen Baigent

35 papers receiving 427 citations

Peers

Stephen Baigent
Comparison fields: 5 of 57
  • Geometry and Topology 107
  • Mathematical Physics 64
  • Public Health, Environmental and Occupational Health 130
  • Statistical and Nonlinear Physics 35
  • Computer Networks and Communications 61
Replace Murad Banaji with:
Murad Banaji United Kingdom
Joel S. Pasternack United States
Michèle S. Titcombe Canada
Geertje M. Hek Netherlands
Shangbin Cui China
Elias August United Kingdom
Mark Pernarowski United States
Lennart Berggren Sweden
S. Leo Kingston Poland
Jacques Billette Canada
Stephen Baigent relative to Murad Banaji United Kingdom Murad Banaji's profile →
Citations per field
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Murad Banaji · 1×
Citations per year

Countries citing papers authored by Stephen Baigent

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Baigent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Stephen Baigent, 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 Stephen Baigent Line = papers co-authored together Stephen Baigent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200563
2 200762
3 199740
4 201328
5 200623
6 200322
7 201318
8 201217
9 201515
10 201715
11 201114
12 201112
13 200911
14 200110
15 201510
16 20139
17 20078
18 20128
19 20007
20 20087

About Stephen Baigent

Stephen Baigent is a scholar working on Public Health, Environmental and Occupational Health, Geometry and Topology, Mathematical Physics, Computer Networks and Communications and Molecular Biology, having authored 36 papers that have together received 446 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Advanced Differential Equations and Dynamical Systems (7 papers), Mathematical Dynamics and Fractals (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Connexins and lens biology (4 papers), Gene Regulatory Network Analysis (3 papers), Elasticity and Material Modeling (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Geometry and Topology (107 citations), Mathematical Physics (64 citations), Public Health, Environmental and Occupational Health (130 citations), Statistical and Nonlinear Physics (35 citations) and Computer Networks and Communications (61 citations). Stephen Baigent has collaborated with scholars based in United Kingdom, Norway and Portugal. Frequent co-authors include Murad Banaji, Anne Warner, Ilias Tachtsidis, David T. Delpy, Lorette Noiret, Rajiv Jalan, Stuart Nattrass, Linzhong Li, Robert M. Seymour and David John Murrell. Their work appears in journals such as The Journal of Difference Equations and Applications, Journal of Theoretical Biology, Journal of Biological Dynamics, Nonlinear Analysis and Bulletin of Mathematical Biology.

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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