Giulia Bertaglia

17 papers receiving 250 citations

Peers

Giulia Bertaglia
Comparison fields: 5 of 58
  • Modeling and Simulation 92
  • Statistical and Nonlinear Physics 42
  • Computational Mechanics 55
  • Public Health, Environmental and Occupational Health 69
  • Cardiology and Cardiovascular Medicine 45
Replace Davide Baroli with:
Davide Baroli Germany
Bernardo Martins Rocha Brazil
Hao Kang United States
Maria Neuss‐Radu Germany
Elena Rossi Italy
Gabriela Marinoschi Romania
Muhammad Umar Pakistan
Cássio M. Oishi Brazil
Tchavdar Marinov United States
Valery Antonov Russia
Giulia Bertaglia relative to Davide Baroli Germany Davide Baroli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Giulia Bertaglia

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Bertaglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Giulia Bertaglia, 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 Giulia Bertaglia Line = papers co-authored together Giulia Bertaglia links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201839
2 201933
3 202029
4 202127
5 202125
6 202222
7 201920
8 202113
9 202412
10 202212
11 20237
12 20227
13 20244
14 20232
15 20252
16 20241
17 20221
18 20231
19 20240

About Giulia Bertaglia

Giulia Bertaglia is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Computational Mechanics, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 19 papers that have together received 257 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), COVID-19 epidemiological studies (7 papers), Cardiovascular Health and Disease Prevention (4 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Elasticity and Material Modeling (3 papers), Fractional Differential Equations Solutions (3 papers), Lattice Boltzmann Simulation Studies (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Modeling and Simulation (92 citations), Statistical and Nonlinear Physics (42 citations), Computational Mechanics (55 citations), Public Health, Environmental and Occupational Health (69 citations) and Cardiology and Cardiovascular Medicine (45 citations). Giulia Bertaglia has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Lorenzo Pareschi, Valerio Caleffi, Alessandro Valiani, Michael Dumbser, Walter Boscheri, Giacomo Dimarco, Xueyu Zhu, Giuseppe Toscani, Chuan Lü and J. Murillo. Their work appears in journals such as Journal of Computational Physics, Mathematical Biosciences & Engineering, Mathematical Models and Methods in Applied Sciences, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Biomedical Engineering.

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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