Daniela Mansutti

578 citations
38 papers · 493 · h-index 11

Impact in

Papers in

Daniela Mansutti

33 papers receiving 471 citations

Peers

Daniela Mansutti
Comparison fields: 5 of 60
  • Computational Mechanics 345
  • Fluid Flow and Transfer Processes 61
  • Mechanical Engineering 169
  • Biomedical Engineering 155
  • Materials Chemistry 122
Replace A. Narain with:
A. Narain United States
Chr. Boyadjiev Bulgaria
S. Albensoeder Germany
Lætitia Paoli France
Sergey Alekseenko Russia
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Knox Millsaps United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Mansutti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mansutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Daniela Mansutti, 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 Daniela Mansutti Line = papers co-authored together Daniela Mansutti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001149
2 199857
3 199151
4 199342
5 200227
6 200325
7 200421
8 200014
9 199314
10 199112
11 199111
12 20119
13 20208
14 20057
15 20056
16
A reduced implicit scheme, via discrete stream function generation, for unsteady Navier-Stokes equations in general curvilinear coordinates
19865
17 19995
18 20014
19 20044
20 19993

About Daniela Mansutti

Daniela Mansutti is a scholar working on Computational Mechanics, Materials Chemistry, Atmospheric Science, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 493 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (12 papers), Solidification and crystal growth phenomena (7 papers), Cryospheric studies and observations (7 papers), Lattice Boltzmann Simulation Studies (5 papers), Climate change and permafrost (5 papers), Fluid Dynamics and Vibration Analysis (5 papers), Winter Sports Injuries and Performance (4 papers) and Nanofluid Flow and Heat Transfer (4 papers). The work is most often cited by research in Computational Mechanics (345 citations), Fluid Flow and Transfer Processes (61 citations), Mechanical Engineering (169 citations), Biomedical Engineering (155 citations) and Materials Chemistry (122 citations). Daniela Mansutti has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Sauro Succi, W. Miller, Edoardo Bucchignani, Giuseppe Pontrelli, Κ. R. Rajagopal, Andrea Mancini, Gianni De Fabritiis, G. Graziani, R. Piva and Adriana Georgescu. Their work appears in journals such as International Journal of Non-Linear Mechanics, Mathematics and Computers in Simulation, Applied Mathematical Modelling, Journal of Scientific Computing and The Journal of Chemical Physics.

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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