Megan Paciaroni

734 citations
17 papers · 558 indexed · h-index 10

Megan Paciaroni

17 papers receiving 521 citations

Peers

Megan Paciaroni
Comparison fields: 5 of 50
  • Acoustics and Ultrasonics 78
  • Instrumentation 64
  • Computational Mechanics 313
  • Fluid Flow and Transfer Processes 88
  • Biophysics 36
Replace David Sedarsky with:
David Sedarsky Sweden
Qingchun Lei China
Guido Stockhausen Germany
Wenjiang Xu United States
Harald Philipp Austria
Dean D. Verhoeven France
Ramzi Idoughi Saudi Arabia
C. S. Narayanamurthy India
Dominique Fourguette United States
Bernhard Hiller United States
Megan Paciaroni relative to David Sedarsky Sweden David Sedarsky's profile →
Citations per field
00.5×1.5×
David Sedarsky · 1×
Citations per year

Countries citing papers authored by Megan Paciaroni

Since Specialization
Citations

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

Fields of papers citing papers by Megan Paciaroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Megan Paciaroni, 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 Megan Paciaroni Line = papers co-authored together Megan Paciaroni links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20205
2 20196
3 20184
4 201513
5
Correlation of Internal Flow and Spray Breakup for a Fuel Injector Used in Ship Engines
20131
6
Ship-Engine Diesel Spray Breakup at Pressure
20131
7 20133
8 201035
9 200941
10 200886
11 2007102
12 200616
13 200698
14 200555
15 200525
16 200466
17
Ballistic imaging in the liquid core of a spray
20041

About Megan Paciaroni

Megan Paciaroni is a scholar working on Acoustics and Ultrasonics, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 17 papers that have together received 558 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (8 papers), Combustion and flame dynamics (6 papers), Particle Dynamics in Fluid Flows (6 papers), Advanced Combustion Engine Technologies (3 papers), Spectroscopy and Laser Applications (3 papers), Laser-induced spectroscopy and plasma (2 papers), Random lasers and scattering media (2 papers) and Optical Imaging and Spectroscopy Techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (78 citations), Instrumentation (64 citations) and Computational Mechanics (313 citations). Megan Paciaroni has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Mark Linne, David Sedarsky, Edouard Berrocal, Terry Parker, Igor Meglinski, James R. Gord, Terrence R. Meyer, Jean‐Pierre Delplanque, Zhenkan Wang and Benjamin R. Halls. Their work appears in journals such as Optics Letters, Optics Express and Proceedings of the Combustion Institute.

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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