Fabio Milner

2.3k citations
85 papers · 1.8k · h-index 25

Impact in

Papers in

Fabio Milner

77 papers receiving 1.7k citations

Peers

Fabio Milner
Comparison fields: 5 of 114
  • Modeling and Simulation 575
  • Numerical Analysis 205
  • Public Health, Environmental and Occupational Health 763
  • Parasitology 157
  • Computational Mechanics 455
Replace E.J. Allen with:
E.J. Allen United States
Peter Ekkehard Kopp United Kingdom
Jean Lubuma South Africa
Ebenezer Bonyah Pakistan
K. P. Hadeler Germany
Jack Carr United Kingdom
Rashid Jan Saudi Arabia
Vincenzo Capasso Italy
Gauthier Sallet France
Yanzhao Cao United States
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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989224
2 1985123
3 2002102
4 201775
5 199272
6 200259
7 200558
8 200457
9 199252
10 200550
11 200139
12 198938
13 199837
14 201035
15 200334
16 199533
17 199532
18 198731
19 200931
20 200831

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 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), COVID-19 epidemiological studies (11 papers), Evolution and Genetic Dynamics (11 papers), Advanced Mathematical Modeling in Engineering (10 papers), Numerical methods 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 (575 citations), Numerical Analysis (205 citations), Public Health, Environmental and Occupational Health (763 citations), Parasitology (157 citations) and Computational Mechanics (455 citations). Fabio Milner has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Mimmo Iannelli, Charles M. Elliott, Donald A. French, Maia Martcheva, Zhilan Feng, Andrea Pugliese, Ruijun Zhao, Eun‐Jae Park, Zhi‐Yong Feng and Jim Douglas. Their work appears in journals such as Mathematical Biosciences & Engineering, Mathematical Biosciences, Numerical Methods for Partial Differential Equations, Journal of Computational and Applied Mathematics 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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