Diletta Burini

746 total citations
26 papers, 552 citations indexed

About

Diletta Burini is a scholar working on Modeling and Simulation, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Diletta Burini has authored 26 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Modeling and Simulation, 5 papers in Molecular Biology and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Diletta Burini's work include Mathematical Biology Tumor Growth (11 papers), Gene Regulatory Network Analysis (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). Diletta Burini is often cited by papers focused on Mathematical Biology Tumor Growth (11 papers), Gene Regulatory Network Analysis (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). Diletta Burini collaborates with scholars based in Italy, Spain and Morocco. Diletta Burini's co-authors include S. De Lillo, Małgorzata Biczysko, Vincenzo Barone, Teresa Fornaro, Livio Gibelli, Nicola Bellomo, Nisrine Outada, Damián Knopoff, Maria Enrica Virgillito and Pietro Terna and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry A and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Diletta Burini

23 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diletta Burini Italy 12 171 135 91 74 66 26 552
Jan‐Frederik Pietschmann Germany 12 80 0.5× 128 0.9× 50 0.5× 30 0.4× 90 1.4× 32 622
Hadi Safdari Iran 12 186 1.1× 200 1.5× 20 0.2× 160 2.2× 9 0.1× 22 560
Sebastián Gonçalves Brazil 16 41 0.2× 239 1.8× 34 0.4× 19 0.3× 7 0.1× 60 637
Zlatinka I. Dimitrova Bulgaria 20 249 1.5× 742 5.5× 141 1.5× 12 0.2× 4 0.1× 43 1.0k
Vladimir A. Volpert United States 8 201 1.2× 75 0.6× 418 4.6× 45 0.6× 10 0.2× 17 833
Faryad Darabi Sahneh United States 15 206 1.2× 489 3.6× 190 2.1× 67 0.9× 2 0.0× 19 851
Adrian Baule United Kingdom 17 244 1.4× 379 2.8× 4 0.0× 103 1.4× 36 0.5× 34 831
Ran Zhang China 20 85 0.5× 82 0.6× 28 0.3× 40 0.5× 6 0.1× 87 1.2k
Menachem Dishon United States 13 66 0.4× 96 0.7× 65 0.7× 104 1.4× 7 0.1× 38 615

Countries citing papers authored by Diletta Burini

Since Specialization
Citations

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

Fields of papers citing papers by Diletta Burini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diletta Burini

This figure shows the co-authorship network connecting the top 25 collaborators of Diletta Burini. A scholar is included among the top collaborators of Diletta Burini 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 Diletta Burini. Diletta Burini 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.
Bellomo, Nicola, et al.. (2025). New trends in kinetic theory toward the complexity of living systems. Mathematical Models and Methods in Applied Sciences. 36(2). 341–397.
2.
Bertaglia, Giulia, et al.. (2024). New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet. Mathematical Models and Methods in Applied Sciences. 34(11). 1995–2054. 12 indexed citations
3.
Burini, Diletta & Damián Knopoff. (2024). Epidemics and society — A multiscale vision from the small world to the globally interconnected world. Mathematical Models and Methods in Applied Sciences. 34(8). 1567–1596. 12 indexed citations
4.
Bellomo, Nicola, et al.. (2024). Active Particles Methods in Economics. Cambridge University Press eBooks. 2 indexed citations
5.
Burini, Diletta. (2023). Multiscale and multi-physical problems. Physics of Life Reviews. 46. 275–276.
6.
Burini, Diletta, et al.. (2023). Waiting for a Mathematical Theory of Living Systems from a Critical Review to Research Perspectives. Symmetry. 15(2). 351–351. 8 indexed citations
7.
Bellomo, Nicola, Diletta Burini, & Nisrine Outada. (2022). Pandemics of mutating virus and society: a multi-scale active particles approach. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2224). 20210161–20210161. 14 indexed citations
8.
Burini, Diletta, et al.. (2022). Virus models in complex frameworks: Towards modeling space patterns of SARS-CoV-2 epidemics. Mathematical Models and Methods in Applied Sciences. 32(10). 2017–2036. 9 indexed citations
9.
Bellomo, Nicola, Diletta Burini, Giovanni Dosi, et al.. (2021). What is life? A perspective of the mathematical kinetic theory of active particles. Mathematical Models and Methods in Applied Sciences. 31(9). 1821–1866. 63 indexed citations
10.
Burini, Diletta, et al.. (2019). A multiscale view of nonlinear diffusion in biology: From cells to tissues. Mathematical Models and Methods in Applied Sciences. 29(4). 791–823. 39 indexed citations
11.
Burini, Diletta & S. De Lillo. (2019). On the Complex Interaction between Collective Learning and Social Dynamics. Symmetry. 11(8). 967–967. 20 indexed citations
12.
Burini, Diletta, Elena De Angelis, & Mirosław Lachowicz. (2018). A Continuous–Time Markov Chain Modeling Cancer–Immune System Interactions. SHILAP Revista de lepidopterología. 9(2). 106–118. 1 indexed citations
13.
Burini, Diletta & S. De Lillo. (2017). Multiple dynamics and hierarchy. Physics of Life Reviews. 22-23. 24–25.
14.
Burini, Diletta, et al.. (2017). Hilbert method toward a multiscale analysis from kinetic to macroscopic models for active particles. Mathematical Models and Methods in Applied Sciences. 27(7). 1327–1353. 33 indexed citations
15.
Burini, Diletta & S. De Lillo. (2017). Learning dynamics by theoretical tools of game theory. Physics of Life Reviews. 21. 131–132. 1 indexed citations
16.
Burini, Diletta, S. De Lillo, & Livio Gibelli. (2016). Learning dynamics towards modeling living systems. Physics of Life Reviews. 16. 158–162. 16 indexed citations
17.
Burini, Diletta. (2016). Collective learning dynamics in behavioral crowds. Physics of Life Reviews. 18. 25–26. 1 indexed citations
18.
Burini, Diletta, S. De Lillo, & Livio Gibelli. (2015). Collective learning modeling based on the kinetic theory of active particles. Physics of Life Reviews. 16. 123–139. 77 indexed citations
19.
Burini, Diletta, et al.. (2015). On a Coupled System of Shallow Water Equations Admitting Travelling Wave Solutions. Mathematical Problems in Engineering. 2015. 1–11. 1 indexed citations
20.
Burini, Diletta & S. De Lillo. (2011). Nonlinear heat diffusion under impulsive forcing. Mathematical and Computer Modelling. 55(3-4). 269–277. 2 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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