Michael Krane

647 citations
45 papers · 514 indexed · h-index 13

Michael Krane

41 papers receiving 495 citations

Peers

Michael Krane
Comparison fields: 5 of 73
  • Signal Processing 98
  • Computational Mechanics 172
  • Experimental and Cognitive Psychology 72
  • Automotive Engineering 58
  • Physiology 123
Replace A. Hirschberg with:
A. Hirschberg Netherlands
Marc Arnela Spain
Stefan Kniesburges Germany
Tomáš Vampola Czechia
R.J. Alfredson Australia
Olivier Doaré France
Shanmugam Murugappan United States
Xavier Pelorson France
Yin Cao China
J.-P. Dalmont France
Michael Krane relative to A. Hirschberg Netherlands A. Hirschberg's profile →
Citations per field
00.5×7.3×
A. Hirschberg · 1×
Citations per year

Countries citing papers authored by Michael Krane

Since Specialization
Citations

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

Fields of papers citing papers by Michael Krane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20226
4 20215
5
Estimates of glottal jet aerodynamics from vocal tract pressure measurements
20201
6 20194
7 20194
8 201985
9 20184
10 201720
11 201752
12 201618
13 201524
14 20158
15
Practical estimation of DPIV uncertainty using pseudo-image pairs
20110
16
Development of a Testing Platform for Scaled-Laboratory Studies of Marine Hydrokinetic Devices
20101
17 20105
18 201018
19 19992
20 19985

About Michael Krane

Michael Krane is a scholar working on Signal Processing, Computational Mechanics, Aerospace Engineering, Environmental Engineering and Physiology, having authored 45 papers that have together received 514 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Aerodynamics and Acoustics in Jet Flows (13 papers), Speech Recognition and Synthesis (11 papers), Fluid Dynamics and Turbulent Flows (9 papers), Voice and Speech Disorders (9 papers), Wind and Air Flow Studies (7 papers), Acoustic Wave Phenomena Research (6 papers) and Fluid Dynamics and Vibration Analysis (5 papers). The work is most often cited by research in Signal Processing (98 citations), Computational Mechanics (172 citations), Experimental and Cognitive Psychology (72 citations), Automotive Engineering (58 citations) and Physiology (123 citations). Michael Krane has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Timothy Wei, Michael Kinzel, Ivan N. Kirschner, Michael Barry, Paul Guerrier, Edward W. Reutzel, Abdalla R. Nassar, Lucy T. Zhang, Larry Goss and Jim Crafton. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Fluid Mechanics, Journal of Fluids Engineering, Measurement Science and Technology and Journal of Sound and Vibration.

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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