Dion O’Neale

599 citations
20 papers · 357 · h-index 9

Impact in

    • Numerical methods for differential equations
    • Differential Equations and Numerical Methods
    • Complex Network Analysis Techniques
    • Nonlinear Waves and Solitons
    • Model Reduction and Neural Networks

Papers in

Dion O’Neale

19 papers receiving 340 citations

Peers

Dion O’Neale
Comparison fields: 5 of 86
  • Numerical Analysis 156
  • Statistical and Nonlinear Physics 96
  • Modeling and Simulation 33
  • Computational Mechanics 87
  • Geography, Planning and Development 13
Replace Sibusiso Moyo with:
Sibusiso Moyo South Africa
Bertram Düring United Kingdom
Gavin Brown Australia
Philip Brenner Sweden
Luis A. Fernández Spain
Kelly Black United States
Barnabás M. Garay Hungary
Björn Gustafsson Sweden
S. De Lillo Italy
L.M. Abia Spain
Dion O’Neale relative to Sibusiso Moyo South Africa Sibusiso Moyo's profile →
Citations per field
00.5×5.8×
Sibusiso Moyo · 1×
Citations per year

Countries citing papers authored by Dion O’Neale

Since Specialization
Citations

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

Fields of papers citing papers by Dion O’Neale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dion O’Neale. 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 Dion O’Neale. The network helps show where Dion O’Neale may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012185
2 201226
3 202024
4 201823
5 201919
6 202017
7 201914
8 202414
9 20209
10 20195
11 20234
12 20214
13 20224
14 20092
15 20242
16 20062
17 20251
18 20221
19 20091
20 20250

About Dion O’Neale

Dion O’Neale is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Epidemiology, Agronomy and Crop Science and Experimental and Cognitive Psychology, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Numerical methods for differential equations (4 papers), COVID-19 epidemiological studies (3 papers), Quantum chaos and dynamical systems (3 papers), Animal Disease Management and Epidemiology (3 papers), Complex Network Analysis Techniques (3 papers), Zoonotic diseases and public health (2 papers), Influenza Virus Research Studies (2 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Numerical Analysis (156 citations), Statistical and Nonlinear Physics (96 citations), Modeling and Simulation (33 citations), Computational Mechanics (87 citations) and Geography, Planning and Development (13 citations). Dion O’Neale has collaborated with scholars based in New Zealand, United States and Germany. Frequent co-authors include Robert I. McLachlan, Volker Grimm, Brynjulf Owren, G. Quispel, Elena Celledoni, David McLaren, Shaun C. Hendy, Kirsten Locke, Frédérique Vanholsbeeck and Kane Meissel. Their work appears in journals such as PLoS ONE, Physical review. E, Journal of Computational Physics, Humanities and Social Sciences Communications and One Health.

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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