Fabio Milner

2.3k citations
82 papers · 1.7k · h-index 24

Impact in

Papers in

Fabio Milner

75 papers receiving 1.6k citations

Peers

Fabio Milner
Comparison fields: 5 of 114
  • Modeling and Simulation 527
  • Numerical Analysis 204
  • Public Health, Environmental and Occupational Health 727
  • Parasitology 152
  • Computational Mechanics 441
Replace E.J. Allen with:
E.J. Allen United States
Peter Ekkehard Kopp United Kingdom
K. P. Hadeler Germany
Ebenezer Bonyah Pakistan
Jean Lubuma South Africa
Jack Carr United Kingdom
Vincenzo Capasso Italy
Rashid Jan Saudi Arabia
Roumen Anguelov South Africa
Gauthier Sallet France
Fabio Milner relative to E.J. Allen United States E.J. Allen's profile →
Citations per field
00.5×3.6×
E.J. Allen · 1×
Citations per year

Countries citing papers authored by Fabio Milner

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Milner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989213
2 1985120
3 200298
4 201766
5 199264
6 200256
7 200556
8 200455
9 199249
10 200548
11 200137
12 198935
13 201035
14 199533
15 200333
16 199532
17 199832
18 198731
19 200630
20 200830

About Fabio Milner

Fabio Milner is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Computational Mechanics, Genetics and Mechanics of Materials, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (37 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Evolution and Genetic Dynamics (11 papers), COVID-19 epidemiological studies (11 papers), Numerical methods in engineering (10 papers), Advanced Mathematical Modeling in Engineering (10 papers), Mathematical Biology Tumor Growth (8 papers) and Parasite Biology and Host Interactions (7 papers). The work is most often cited by research in Modeling and Simulation (527 citations), Numerical Analysis (204 citations), Public Health, Environmental and Occupational Health (727 citations), Parasitology (152 citations) and Computational Mechanics (441 citations). Fabio Milner has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mimmo Iannelli, Donald A. French, Charles M. Elliott, Maia Martcheva, Zhilan Feng, Ruijun Zhao, Eun‐Jae Park, Andrea Pugliese, Zhi‐Yong Feng and Jim Douglas. Their work appears in journals such as Mathematical Biosciences, Mathematical Biosciences & Engineering, Journal of Computational and Applied Mathematics, Numerical Methods for Partial Differential Equations and Journal 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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