David Iron

31 papers receiving 584 citations

Peers

David Iron
Comparison fields: 5 of 90
  • Modeling and Simulation 135
  • Computer Networks and Communications 341
  • Statistical and Nonlinear Physics 151
  • Numerical Analysis 52
  • Public Health, Environmental and Occupational Health 214
Replace Yoshihisa Morita with:
Yoshihisa Morita Japan
Andrew L. Krause United Kingdom
Maria Carmela Lombardo Italy
Peter van Heijster Australia
Razvan A. Satnoianu United Kingdom
Norman MacDonald United Kingdom
Fengqi Yi China
Manjun Ma China
Matt Holzer United States
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Citations per year

Countries citing papers authored by David Iron

Since Specialization
Citations

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

Fields of papers citing papers by David Iron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside David Iron, 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 David Iron Line = papers co-authored together David Iron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001185
2 200475
3 200255
4 200045
5 200735
6 201829
7 201126
8 202024
9 202024
10 200314
11 200413
12 201312
13 200112
14 201411
15 200310
16 20009
17 20048
18 20177
19 20126
20 20046

About David Iron

David Iron is a scholar working on Computer Networks and Communications, Public Health, Environmental and Occupational Health, Molecular Biology, Condensed Matter Physics and Biomedical Engineering, having authored 33 papers that have together received 639 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Theoretical and Computational Physics (5 papers), stochastic dynamics and bifurcation (4 papers), Gene Regulatory Network Analysis (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Cellular Mechanics and Interactions (3 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Modeling and Simulation (135 citations), Computer Networks and Communications (341 citations), Statistical and Nonlinear Physics (151 citations), Numerical Analysis (52 citations) and Public Health, Environmental and Occupational Health (214 citations). David Iron has collaborated with scholars based in Canada, Netherlands and Hong Kong. Frequent co-authors include Michael J. Ward, Juncheng Wei, Théodore Kolokolnikov, Matthias Winter, Hans F. M. Boelens, Gadi Rothenberg, Johan A. Westerhuis, Sina M. Adl, Adriana T. Dawes and Yasumasa Nishiura. Their work appears in journals such as Journal of Mathematical Biology, European Journal of Applied Mathematics, SIAM Journal on Applied Mathematics, Physica D Nonlinear Phenomena and Analytical Chemistry.

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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