Fabio Milner

2.3k total citations
82 papers, 1.7k citations indexed

About

Fabio Milner is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Computational Mechanics. According to data from OpenAlex, Fabio Milner has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Public Health, Environmental and Occupational Health, 21 papers in Modeling and Simulation and 14 papers in Computational Mechanics. Recurrent topics in Fabio Milner's work include Mathematical and Theoretical Epidemiology and Ecology Models (37 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and COVID-19 epidemiological studies (11 papers). Fabio Milner is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (37 papers), Advanced Numerical Methods in Computational Mathematics (14 papers) and COVID-19 epidemiological studies (11 papers). Fabio Milner collaborates with scholars based in United States, Italy and France. Fabio Milner's co-authors include Mimmo Iannelli, Charles M. Elliott, Donald A. French, Maia Martcheva, Zhilan Feng, Ruijun Zhao, Eun‐Jae Park, Andrea Pugliese, Zhi‐Yong Feng and Jim Douglas and has published in prestigious journals such as Mathematics of Computation, Journal of Theoretical Biology and Journal of Sound and Vibration.

In The Last Decade

Fabio Milner

75 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Milner United States 24 727 527 441 316 304 82 1.7k
E.J. Allen United States 19 385 0.5× 318 0.6× 128 0.3× 124 0.4× 225 0.7× 67 1.4k
Ebenezer Bonyah Pakistan 39 915 1.3× 1.3k 2.5× 1.4k 3.2× 95 0.3× 162 0.5× 228 4.2k
Jack Carr United Kingdom 13 649 0.9× 358 0.7× 195 0.4× 267 0.8× 266 0.9× 19 2.3k
Jean Lubuma South Africa 23 748 1.0× 903 1.7× 184 0.4× 165 0.5× 297 1.0× 90 1.6k
K. P. Hadeler Germany 32 1.8k 2.5× 1.0k 2.0× 110 0.2× 429 1.4× 1.3k 4.2× 122 3.4k
Vincenzo Capasso Italy 25 2.2k 3.0× 2.1k 4.1× 100 0.2× 252 0.8× 1.3k 4.2× 128 3.7k
Rashid Jan Saudi Arabia 34 989 1.4× 1.5k 2.8× 229 0.5× 103 0.3× 147 0.5× 190 2.6k
Yanzhao Cao United States 18 138 0.2× 247 0.5× 741 1.7× 461 1.5× 62 0.2× 86 1.5k
Peter Ekkehard Kopp United Kingdom 10 446 0.6× 803 1.5× 79 0.2× 61 0.2× 295 1.0× 22 2.3k
David L. Brown United States 18 145 0.2× 83 0.2× 821 1.9× 66 0.2× 97 0.3× 50 2.0k

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-authorship network of co-authors of Fabio Milner

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Milner. A scholar is included among the top collaborators of Fabio Milner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabio Milner. Fabio Milner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
VanLehn, Kurt, et al.. (2023). A Step-Based Tutoring System to Teach Underachieving Students How to Construct Algebraic Models. International Journal of Artificial Intelligence in Education. 34(2). 224–246. 1 indexed citations
2.
Mancuso, Marina, et al.. (2023). Fusing time-varying mosquito data and continuous mosquito population dynamics models. Frontiers in Applied Mathematics and Statistics. 9. 1 indexed citations
3.
Milner, Fabio, et al.. (2022). Sensitivity Analysis in an Immuno-Epidemiological Vector-Host Model. Bulletin of Mathematical Biology. 84(2). 27–27. 4 indexed citations
4.
Milner, Fabio, et al.. (2022). Reconceptualización didáctica del cálculo.
5.
VanLehn, Kurt, et al.. (2020). Teaching Algebraic Model Construction: A Tutoring System, Lessons Learned and an Evaluation. International Journal of Artificial Intelligence in Education. 30(3). 459–480. 12 indexed citations
6.
Pugliese, Andrea & Fabio Milner. (2018). A structured population model with diffusion in structure space. Journal of Mathematical Biology. 77(6-7). 2079–2102. 3 indexed citations
7.
Angulo, O., J.C. López-Marcos, & Fabio Milner. (2006). The application of an age-structured model with unbounded mortality to demography. Mathematical Biosciences. 208(2). 495–520. 16 indexed citations
8.
Iannelli, Mimmo, Maia Martcheva, & Fabio Milner. (2005). Gender-structured Population Modeling: Mathematical Methods, Numerics, And Simulations (Frontiers in Applied Mathematics). Society for Industrial and Applied Mathematics eBooks. 18 indexed citations
9.
Feng, Zhilan, et al.. (2004). Estimation of parameters governing the transmission dynamics of schistosomes. Applied Mathematics Letters. 17(10). 1105–1112. 55 indexed citations
10.
Milner, Fabio, et al.. (2003). A diffusion model for host–parasite interaction. Journal of Computational and Applied Mathematics. 154(2). 273–302. 5 indexed citations
11.
Langlais, Michel & Fabio Milner. (2003). Existence and uniqueness of solutions for a diffusion model of host–parasite dynamics. Journal of Mathematical Analysis and Applications. 279(2). 463–474. 2 indexed citations
12.
Iannelli, Mimmo & Fabio Milner. (2001). On the approximation of the Lotka–McKendrick equation with finite life-span. Journal of Computational and Applied Mathematics. 136(1-2). 245–254. 37 indexed citations
13.
Milner, Fabio, et al.. (1999). A new approach to mathematical modeling of host-parasite systems. Computers & Mathematics with Applications. 37(2). 93–110. 13 indexed citations
14.
Iannelli, Mimmo, et al.. (1998). Existence and uniqueness of endemic states for the age-structured S–I–R epidemic model. Mathematical Biosciences. 150(2). 177–190. 32 indexed citations
15.
Milner, Fabio & Eun‐Jae Park. (1995). A Mixed Finite Element Method for a Strongly Nonlinear Second-Order Elliptic Problem. Mathematics of Computation. 64(211). 973–973. 33 indexed citations
16.
Milner, Fabio & Eun‐Jae Park. (1995). A mixed finite element method for a strongly nonlinear second-order elliptic problem. Mathematics of Computation. 64(211). 973–988. 32 indexed citations
17.
Milner, Fabio, et al.. (1992). Rapidly converging numerical algorithms for models of population dynamics. Journal of Mathematical Biology. 30(7). 733–53. 49 indexed citations
18.
Milner, Fabio. (1989). L∞-error estimates for linear elasticity problems. Journal of Computational and Applied Mathematics. 25(3). 305–313. 1 indexed citations
19.
Milner, Fabio. (1985). Mixed Finite Element Methods for Quasilinear Second-Order Elliptic Problems. Mathematics of Computation. 44(170). 303–303. 18 indexed citations
20.
Milner, Fabio. (1985). Mixed finite element methods for quasilinear second-order elliptic problems. Mathematics of Computation. 44(170). 303–320. 120 indexed citations

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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