Matteo Donati

462 citations
14 papers · 319 · h-index 11

Impact in

Papers in

Matteo Donati

14 papers receiving 316 citations

Peers

Matteo Donati
Comparison fields: 5 of 66
  • Surfaces, Coatings and Films 169
  • Computational Mechanics 71
  • Health, Toxicology and Mutagenesis 29
  • Renewable Energy, Sustainability and the Environment 28
  • Biomedical Engineering 71
Replace Rao Li with:
Rao Li China
Martin Bellmann Norway
Yuhe Shang China
Jung Goo Hong South Korea
Mehdi Hosseini Iran
A. R. Harikrishnan India
Thomas Lauer Austria
J. M. Waldvogel United States
Vahid Mortazavi United States
Hyungkee Yoon South Korea
Matteo Donati relative to Rao Li China Rao Li's profile →
Citations per field
00.5×10×20×30×37×
Rao Li · 1×
Citations per year

Countries citing papers authored by Matteo Donati

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Donati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Donati, 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 Matteo Donati Line = papers co-authored together Matteo Donati links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202072
2 202038
3 202136
4 202132
5 202030
6 202227
7 202323
8 202217
9 200812
10 202311
11 202311
12 20245
13 20254
14 20211

About Matteo Donati

Matteo Donati is a scholar working on Surfaces, Coatings and Films, Electrical and Electronic Engineering, Biomedical Engineering, Computational Mechanics and Materials Chemistry, having authored 14 papers that have together received 319 indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (9 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Green IT and Sustainability (1 paper), Brake Systems and Friction Analysis (1 paper), Fluid dynamics and aerodynamics studies (1 paper) and Nanomaterials and Printing Technologies (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (169 citations), Computational Mechanics (71 citations), Health, Toxicology and Mutagenesis (29 citations), Renewable Energy, Sustainability and the Environment (28 citations) and Biomedical Engineering (71 citations). Matteo Donati has collaborated with scholars based in Switzerland, India and Italy. Frequent co-authors include Athanasios Milionis, Dimos Poulikakos, Chander Shekhar Sharma, Abinash Tripathy, Christos Stamatopoulos, Norbert Ackerl, Philipp Rudolf von Rohr, Emanuele Lattanzi, Valerio Freschi and Kartik Regulagadda. Their work appears in journals such as Langmuir, ACS Nano, Nature Communications, Computer Methods and Programs in Biomedicine and Journal of Agricultural and Food Chemistry.

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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