Mimmo Iannelli

3.6k total citations
83 papers, 2.5k citations indexed

About

Mimmo Iannelli is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Applied Mathematics. According to data from OpenAlex, Mimmo Iannelli has authored 83 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Public Health, Environmental and Occupational Health, 40 papers in Modeling and Simulation and 14 papers in Applied Mathematics. Recurrent topics in Mimmo Iannelli's work include Mathematical and Theoretical Epidemiology and Ecology Models (41 papers), COVID-19 epidemiological studies (19 papers) and Mathematical Biology Tumor Growth (18 papers). Mimmo Iannelli is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (41 papers), COVID-19 epidemiological studies (19 papers) and Mathematical Biology Tumor Growth (18 papers). Mimmo Iannelli collaborates with scholars based in Italy, United States and France. Mimmo Iannelli's co-authors include Fabio Milner, Stavros Busenberg, Viorel Barbu, Giuseppe Da Prato, Maia Martcheva, Andrea Pugliese, Lorenzo Bramanti, Giovanni Santangelo, Piero Manfredi and Eun‐Jae Park and has published in prestigious journals such as PLoS ONE, Marine Ecology Progress Series and Journal of Theoretical Biology.

In The Last Decade

Mimmo Iannelli

79 papers receiving 2.3k citations

Peers

Mimmo Iannelli

PHEOH

GENET

Stephen A. Gourley United Kingdom

Michel Langlais France

Sze‐Bi Hsu Taiwan

Vincenzo Capasso Italy

Pierre Magal France

Zhidong Teng China

Xinzhu Meng China

Thomas G. Hallam United States

Lionel Roques France

Linda J. S. Allen United States

Stephen A. Gourley United Kingdom

Mimmo Iannelli

2.2k ×1.6

PHEOH

1.0k ×0.8

1.2k ×2.1

GENET

447 ×1.1

204 ×0.6

Citations per year, relative to Mimmo Iannelli Mimmo Iannelli (= 1×) peers Stephen A. Gourley

Countries citing papers authored by Mimmo Iannelli

Since Specialization

Citations

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

Fields of papers citing papers by Mimmo Iannelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mimmo Iannelli

This figure shows the co-authorship network connecting the top 25 collaborators of Mimmo Iannelli. A scholar is included among the top collaborators of Mimmo Iannelli 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 Mimmo Iannelli. Mimmo Iannelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

d’Onofrio, Alberto, Mimmo Iannelli, Gabriela Marinoschi, & Piero Manfredi. (2024). Multiple pandemic waves vs multi-period/multi-phasic epidemics: Global shape of the COVID-19 pandemic. Journal of Theoretical Biology. 593. 111881–111881. 4 indexed citations

d’Onofrio, Alberto, Piero Manfredi, & Mimmo Iannelli. (2021). Dynamics of partially mitigated multi-phasic epidemics at low susceptible depletion: phases of COVID-19 control in Italy as case study. Mathematical Biosciences. 340. 108671–108671. 7 indexed citations

Gandolfi, Alberto, Mimmo Iannelli, & Gabriela Marinoschi. (2016). The steady state of epidermis: mathematical modeling and numerical simulations. Journal of Mathematical Biology. 73(6-7). 1595–1626.

Iannelli, Mimmo, et al.. (2013). Time evolution for a model of epidermis growth. Institutional Research Information System (Università degli Studi di Trento). 3 indexed citations

Iannelli, Mimmo, et al.. (2011). An age-structured model of epidermis growth. Institutional Research Information System (Università degli Studi di Trento). 27 indexed citations

Iannelli, Mimmo. (2010). Mathematics of Biology: Lectures given at the Centro Internazionale Matematico Estivo (C. I. M. E. ) held in Cortona (Arezzo), Italy, June 18-30 1979. Springer eBooks. 1 indexed citations

Martcheva, Maia, Mimmo Iannelli, & Xue-Zhi Li. (2007). Subthreshold coexistence of strains: the impact of vaccination and mutation. Mathematical Biosciences & Engineering. 4(2). 287–317. 33 indexed citations

Breda, Dimitri, et al.. (2006). Stability analysis of age-structured population equations by pseudospectral differencing methods. Journal of Mathematical Biology. 54(5). 701–720. 19 indexed citations

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

10.

Iannelli, Mimmo & G. Lumer. (2003). Evolution equations : applications to physics, industry, life sciences, and economics : EVEQ2000 Conference in Levico Terme (Trento, Italy), October 30-November 4, 2000. Birkhäuser eBooks. 1 indexed citations

11.

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

12.

Barbu, Viorel, Mimmo Iannelli, & Maia Martcheva. (2001). On the Controllability of the Lotka–McKendrick Model of Population Dynamics. Journal of Mathematical Analysis and Applications. 253(1). 142–165. 53 indexed citations

13.

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

14.

Prato, Giuseppe Da & Mimmo Iannelli. (1985). Existence and regularity for a class of integrodifferential equations of parabolic type. Journal of Mathematical Analysis and Applications. 112(1). 36–55. 54 indexed citations

15.

Busenberg, Stavros & Mimmo Iannelli. (1982). A method for treating a class of nonlinear diffusion problems. Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti Lincei. Matematica e Applicazioni. 72(3). 121–127. 1 indexed citations

16.

Prato, Giuseppe Da, Mimmo Iannelli, & Luciano Tubaro. (1982). An existence result for a linear abstract stochastic equation in Hilbert spaces. Rendiconti del Seminario Matematico della Università di Padova. 67. 171–180. 2 indexed citations

17.

Prato, Giuseppe Da & Mimmo Iannelli. (1980). Linear abstract integro-differential equations of hyperbolic type in Hilbert spaces. Rendiconti del Seminario Matematico della Università di Padova. 62. 191–206. 12 indexed citations

18.

Prato, Giuseppe Da & Mimmo Iannelli. (1980). Linear integro-differential equations in Banach spaces. Rendiconti del Seminario Matematico della Università di Padova. 62. 207–219. 62 indexed citations

19.

Prato, Guiseppe Da, et al.. (1978). Linear stochastic differential equations in Hilbert spaces, II. Institutional Research Information System (Università degli Studi di Trento). 65. 5–10. 1 indexed citations

20.

Iannelli, Mimmo. (1976). On a certain class of semilinear evolution systems. Journal of Mathematical Analysis and Applications. 56(2). 351–367. 7 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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