M. Labowsky

28 papers receiving 764 citations

Peers

M. Labowsky
Comparison fields: 5 of 83
  • Fluid Flow and Transfer Processes 129
  • Computational Mechanics 426
  • Ocean Engineering 177
  • Safety, Risk, Reliability and Quality 90
  • Spectroscopy 136
Replace Hironobu Kobayashi with:
Hironobu Kobayashi Japan
Bradley A. Williams United States
Randy A. Patton United States
Shobhit Saxena India
Richard A. Thomas United States
Yafei Li China
Chao‐Wu Yu Taiwan
Percival D. McCormack United States
Chenlin Chen China
M. Labowsky relative to Hironobu Kobayashi Japan Hironobu Kobayashi's profile →
Citations per field
00.5×6.6×
Hironobu Kobayashi · 1×
Citations per year

Countries citing papers authored by M. Labowsky

Since Specialization
Citations

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

Fields of papers citing papers by M. Labowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. Labowsky, 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 M. Labowsky Line = papers co-authored together M. Labowsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980138
2 2011105
3 198275
4 200072
5 197866
6 197661
7 199341
8 197838
9 201726
10 200522
11 199321
12 198016
13 201215
14 201012
15 201512
16 200810
17 20099
18 20069
19 19988
20
Conditions for ''group'' combustion of droplets in fuel clouds. I. Quasi-steady predictions
19767

About M. Labowsky

M. Labowsky is a scholar working on Computational Mechanics, Ocean Engineering, Spectroscopy, Electrical and Electronic Engineering and Biomedical Engineering, having authored 28 papers that have together received 794 indexed citations. Recurring topics across this work include Combustion and flame dynamics (9 papers), Particle Dynamics in Fluid Flows (7 papers), Electrohydrodynamics and Fluid Dynamics (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Fire dynamics and safety research (4 papers), Thermochemical Biomass Conversion Processes (3 papers), Immune Cell Function and Interaction (3 papers) and Advanced Combustion Engine Technologies (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (129 citations), Computational Mechanics (426 citations), Ocean Engineering (177 citations), Safety, Risk, Reliability and Quality (90 citations) and Spectroscopy (136 citations). M. Labowsky has collaborated with scholars based in United States, Spain and Finland. Frequent co-authors include John B. Fenn, Juan Fernández de la Mora, Daniel E. Rosner, Tarek M. Fahmy, Jordan S. Pober, Erin R. Steenblock, Tarek R. Fadel, Pablo Martínez-Lozano, Athanasios G. Konstandopoulos and Justin Lowenthal. Their work appears in journals such as Chemical Engineering Science, Journal of Aerosol Science, Combustion Science and Technology, Combustion and Flame and Rapid Communications in Mass Spectrometry.

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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