Davide Laera

1.5k citations
50 papers · 1.0k · h-index 19

Impact in

Papers in

Davide Laera

48 papers receiving 1.0k citations

Peers

Davide Laera
Comparison fields: 5 of 38
  • Fluid Flow and Transfer Processes 709
  • Computational Mechanics 974
  • Safety, Risk, Reliability and Quality 190
  • Aerospace Engineering 326
  • Environmental Engineering 159
Replace Feichi Zhang with:
Feichi Zhang Germany
Mohsen Talei Australia
Rajesh Sadanandan Germany
Thorsten Zirwes Germany
Jean-François Bourgouin France
Pasquale Eduardo Lapenna Italy
Stewart Cant United Kingdom
Matthieu Boileau France
Francisco E. Hernández Pérez Saudi Arabia
Vishal Acharya United States
Davide Laera relative to Feichi Zhang Germany Feichi Zhang's profile →
Citations per field
00.5×6.6×
Feichi Zhang · 1×
Citations per year

Countries citing papers authored by Davide Laera

Since Specialization
Citations

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

Fields of papers citing papers by Davide Laera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 201973
3 201772
4 202052
5 201950
6 202046
7 202344
8 202344
9 202244
10 202144
11 201940
12 202236
13 201835
14 202333
15 201633
16 201931
17 201626
18 201719
19 202319
20 202118

About Davide Laera

Davide Laera is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Safety, Risk, Reliability and Quality, Aerospace Engineering and Environmental Engineering, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Combustion and flame dynamics (48 papers), Advanced Combustion Engine Technologies (37 papers), Fire dynamics and safety research (17 papers), Combustion and Detonation Processes (14 papers), Wind and Air Flow Studies (6 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Radiative Heat Transfer Studies (5 papers) and Rocket and propulsion systems research (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (709 citations), Computational Mechanics (974 citations), Safety, Risk, Reliability and Quality (190 citations), Aerospace Engineering (326 citations) and Environmental Engineering (159 citations). Davide Laera has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Thierry Poinsot, Aimee S. Morgans, Laurent Gicquel, Sergio Mario Camporeale, Chih‐Jen Sung, Thierry Schuller, Xin Hui, Dong Yang, Éléonore Riber and Isaac Boxx. Their work appears in journals such as Combustion and Flame, Proceedings of the Combustion Institute, Journal of Engineering for Gas Turbines and Power, International Journal of Hydrogen Energy and Flow Turbulence and Combustion.

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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