Daniela Morale
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
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- Mathematical Biology Tumor Growth 12
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- Stochastic processes and statistical mechanics 4
- Co-authors
- Vincenzo Capasso (18 shared papers)Martin Burger (1 shared paper)Giuliana Carello (2 shared papers)Roberto Aringhieri (1 shared paper)Alessandra Micheletti (5 shared papers)Paolo Milani (2 shared papers)Antonio Scialdone (1 shared paper)Giorgio Facchetti (1 shared paper)
In The Last Decade
Daniela Morale
30 papers receiving 553 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 345
- Mathematical Physics 113
- Applied Mathematics 82
- Public Health, Environmental and Occupational Health 130
- Finance 40
Countries citing papers authored by Daniela Morale
This map shows the geographic impact of Daniela Morale'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 Daniela Morale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Morale more than expected).
Fields of papers citing papers by Daniela Morale
This network shows the impact of papers produced by Daniela Morale. 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 Daniela Morale. The network helps show where Daniela Morale may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniela Morale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 158 | |
| 2 | 2006 | 122 | |
| 3 | 2000 | 76 | |
| 4 | 2008 | 54 | |
| 5 | 2013 | 52 | |
| 6 | 2009 | 22 | |
| 7 | 2011 | 18 | |
| 8 | 2008 | 11 | |
| 9 | 2008 | 9 | |
| 10 | 2016 | 9 | |
| 11 | 2012 | 8 | |
| 12 | 2001 | 8 | |
| 13 | 2003 | 8 | |
| 14 | 2013 | 6 | |
| 15 | 2010 | 5 | |
| 16 | 2016 | 4 | |
| 17 | Cellular Automata and Many-Particle Systems Modeling Aggregation Behavior Among Populations | 2000 | 4 |
| 18 | A stochastic particle model for vasculogenesis : a multiple scale approach | 2003 | 3 |
| 19 | 2023 | 2 | |
| 20 | 2012 | 2 |
About Daniela Morale
Daniela Morale is a scholar working on Modeling and Simulation, Mathematical Physics, Emergency Medical Services, Cell Biology and Computational Theory and Mathematics, having authored 32 papers that have together received 591 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (12 papers), Stochastic processes and statistical mechanics (4 papers), Gene Regulatory Network Analysis (3 papers), Cellular Mechanics and Interactions (3 papers), Diffusion and Search Dynamics (3 papers), Cancer Cells and Metastasis (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Metallurgy and Material Forming (2 papers). The work is most often cited by research in Modeling and Simulation (345 citations), Mathematical Physics (113 citations), Applied Mathematics (82 citations), Public Health, Environmental and Occupational Health (130 citations) and Finance (40 citations). Daniela Morale has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Vincenzo Capasso, Martin Burger, Giuliana Carello, Roberto Aringhieri, Alessandra Micheletti, Paolo Milani, Antonio Scialdone, Giorgio Facchetti, Giuseppe Facchetti and Elena Villa. Their work appears in journals such as Nonlinear Analysis Real World Applications, Journal of Mathematical Biology, Annals of Operations Research, Biosystems and Future Generation Computer Systems.
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.