David Forliti

619 citations
43 papers · 500 indexed · h-index 11

David Forliti

40 papers receiving 471 citations

Peers

David Forliti
Comparison fields: 5 of 42
  • Computational Mechanics 412
  • Aerospace Engineering 341
  • Safety, Risk, Reliability and Quality 85
  • Fluid Flow and Transfer Processes 37
  • Statistics, Probability and Uncertainty 28
Replace Baochun Fan with:
Baochun Fan China
Gaurav Kumar India
David Munday United States
Takakage Arai Japan
Asmund Huser United States
Sunil Lakshmipathy India
Marco Bettelini Switzerland
Zhongwei Wang China
Dmitry A. Lysenko Russia
Kjell Erik Rian Norway
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Citations per field
00.5×3.7×
Baochun Fan · 1×
Citations per year

Countries citing papers authored by David Forliti

Since Specialization
Citations

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

Fields of papers citing papers by David Forliti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside David Forliti, 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 David Forliti Line = papers co-authored together David Forliti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20200
2 20201
3
Influence of bubble size on effervescent atomization. Part 1: bubble characterization and mean spray features
20161
4 20162
5
Acoustically Forced Coaxial Hydrogen / Liquid Oxygen Jet Flames
20163
6 20143
7 20146
8 20122
9 201131
10
Unsteady Flame Speed Control and Deflagration-to- Detonation Transition Enhancement using Fluidic Obstacles
20109
11 20104
12 20091
13 200921
14 20094
15 20082
16 200812
17 200817
18 20051
19 20051
20 199679

About David Forliti

David Forliti is a scholar working on Computational Mechanics, Aerospace Engineering and Safety, Risk, Reliability and Quality, having authored 43 papers that have together received 500 indexed citations. Recurring topics across this work include Combustion and flame dynamics (28 papers), Aerodynamics and Acoustics in Jet Flows (27 papers), Fluid Dynamics and Turbulent Flows (25 papers), Computational Fluid Dynamics and Aerodynamics (15 papers), Combustion and Detonation Processes (5 papers), Fire dynamics and safety research (5 papers), Wind and Air Flow Studies (4 papers) and Plant Water Relations and Carbon Dynamics (3 papers). The work is most often cited by research in Computational Mechanics (412 citations), Aerospace Engineering (341 citations) and Safety, Risk, Reliability and Quality (85 citations). David Forliti has collaborated with scholars based in United States and Germany. Frequent co-authors include P. J. Strykowski, Kareem A. Ahmed, Anjaneyulu Krothapalli, Christopher Stevens, John Hoke, Fred Schauer, Farrukh Alvi, Ryoichi YAMANAKA, Ivett Leyva and Anh Tuấn Lê. Their work appears in journals such as Journal of Fluid Mechanics, AIAA Journal and Physics of Fluids.

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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