Michael J. Kingan
- Aerospace Engineering top 1%
- Aerodynamics and Acoustics in Jet Flows 62
- Aerodynamics and Fluid Dynamics Research 6
- Environmental Engineering top 5%
- Wind and Air Flow Studies 20
- Computational Mechanics top 5%
- Combustion and flame dynamics 11
- Biomedical Engineering top 5%
- Acoustic Wave Phenomena Research 64
- Automotive Engineering top 5%
- Vehicle Noise and Vibration Control 27
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- Structural Health Monitoring Techniques 9
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- Cavitation Phenomena in Pumps 7
- Co-authors
- Yi YangB.R. MaceAnthony B. ParryJohn PearseSamuel SinayokoRajnish N. SharmaGian SchmidRod Self
- Journals
- Journal of Fluid Mechanics (4 papers)Construction and Building Materials (1 paper)The Journal of the Acoustical Society of America (5 papers)
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Michael J. Kingan
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Aerospace Engineering 718
- Environmental Engineering 224
- Computational Mechanics 302
- Biomedical Engineering 607
- Automotive Engineering 164
Countries citing papers authored by Michael J. Kingan
This map shows the geographic impact of Michael J. Kingan'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 J. Kingan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Kingan more than expected).
Fields of papers citing papers by Michael J. Kingan
This network shows the impact of papers produced by Michael J. Kingan. 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 J. Kingan. The network helps show where Michael J. Kingan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. Kingan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 0 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 28 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 29 | |
| 16 | 2016 | 6 | |
| 17 | A method for the rapid and exact calculation of modal radiation from a circular duct | 2015 | 1 |
| 18 | 2013 | 7 | |
| 19 | Propeller tone scattering | 2010 | 2 |
| 20 | 2006 | 1 |
About Michael J. Kingan
Michael J. Kingan is a scholar working on Aerospace Engineering, Automotive Engineering and Biomedical Engineering, having authored 99 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (64 papers), Aerodynamics and Acoustics in Jet Flows (62 papers), Vehicle Noise and Vibration Control (27 papers), Wind and Air Flow Studies (20 papers), Combustion and flame dynamics (11 papers), Structural Health Monitoring Techniques (9 papers), Cavitation Phenomena in Pumps (7 papers) and Aerodynamics and Fluid Dynamics Research (6 papers). The work is most often cited by research in Aerospace Engineering (718 citations), Environmental Engineering (224 citations) and Computational Mechanics (302 citations). Michael J. Kingan has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Yi Yang, B.R. Mace, Anthony B. Parry, John Pearse, Samuel Sinayoko, Rajnish N. Sharma, Gian Schmid, Rod Self, Anurag Agarwal and Alan McAlpine. Their work appears in journals such as Journal of Fluid Mechanics, Construction and Building Materials and The Journal of the Acoustical Society of America.
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.