Daniele Suzzi

569 citations
25 papers · 445 indexed · h-index 9
Topics
Fluid Dynamics and Heat Transfer (7 papers)Fluid Dynamics and Mixing (6 papers)Aerodynamics and Fluid Dynamics Research (4 papers)
Partner nations
AustriaGermanyItaly

In The Last Decade

Daniele Suzzi

25 papers receiving 427 citations

Peers

Daniele Suzzi
Comparison fields: 5 of 70
  • Computational Mechanics 206
  • Biomedical Engineering 117
  • Mechanical Engineering 87
  • Materials Chemistry 58
  • Pharmaceutical Science 54
Replace Gregor Toschkoff with:
Gregor Toschkoff Austria
Cendrine Gatumel France
Srikanth R. Gopireddy Germany
Vadim E. Mizonov Russia
Dalibor Jajčević Austria
Maxx Capece United States
Kumar Dhanasekharan United States
Harald Zetzener Germany
Umair Zafar United Kingdom
Rajeev K. Thakur France
Daniele Suzzi relative to Gregor Toschkoff Austria Gregor Toschkoff's profile →
Citations per field
00.5×1.5×1.8×
Gregor Toschkoff · 1×
Citations per year

Countries citing papers authored by Daniele Suzzi

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Suzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Suzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Suzzi. A scholar is included among the top collaborators of Daniele Suzzi 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 Daniele Suzzi. Daniele Suzzi 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
#WorkIndexed citations
1 2
2 8
3
Numerical Simulation of Tablet Coating
6
4 8
5 3
6 26
7 18
8 106
9 9
10 50
11 94
12 69
13 5
14 4
15 1
16 1
17 3
18
New concept for simultaneous coupling of 3D Eulerian Spray and Lagrangian Engine Simulations
1
19
Simulation of Primary Break-up of Diesel Jets by a Hybrid Method Combining VOF-Calculations and the Classical DDM Rate Approach with a 3D CFD Code
3
20 4

About Daniele Suzzi

Daniele Suzzi is a scholar working on Computational Mechanics, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 25 papers that have together received 445 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (7 papers), Fluid Dynamics and Mixing (6 papers) and Aerodynamics and Fluid Dynamics Research (4 papers). The work is most often cited by research in Computational Mechanics (206 citations), Pharmaceutical Science (54 citations) and Fluid Flow and Transfer Processes (24 citations). Daniele Suzzi has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Johannes Khinast, Stefan Radl, Charles Radeke, Gregor Toschkoff, Simon Fraser, Benjamin J. Glasser, Günter Brenn, Stefan Scheler, Nóra Zsuzsa Kiss and Andreas Eitzlmayr. Their work appears in journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

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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