Mark Jermy

1.9k total citations
114 papers, 1.4k citations indexed

About

Mark Jermy is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Aerospace Engineering. According to data from OpenAlex, Mark Jermy has authored 114 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Mechanics, 31 papers in Pulmonary and Respiratory Medicine and 21 papers in Aerospace Engineering. Recurrent topics in Mark Jermy's work include Fluid Dynamics and Turbulent Flows (18 papers), Cardiovascular Health and Disease Prevention (14 papers) and Coronary Interventions and Diagnostics (13 papers). Mark Jermy is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Cardiovascular Health and Disease Prevention (14 papers) and Coronary Interventions and Diagnostics (13 papers). Mark Jermy collaborates with scholars based in New Zealand, United Kingdom and Germany. Mark Jermy's co-authors include Patrick H. Geoghegan, Nicolas Buchmann, C. J. T. Spence, D.A. Greenhalgh, Michael Taylor, Paul D. Docherty, Stephen Moore, Wei Hua Ho, Mathieu Sellier and Igor Meglinski and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Mark Jermy

109 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Jermy New Zealand	20	429	315	311	244	185	114	1.4k
Richard Figliola United States	18	441 1.0×	540 1.7×	101 0.3×	241 1.0×	225 1.2×	61	1.6k
M. Rosenfeld Israel	23	789 1.8×	355 1.1×	354 1.1×	437 1.8×	301 1.6×	106	2.1k
Denis Doorly United Kingdom	23	469 1.1×	198 0.6×	668 2.1×	759 3.1×	217 1.2×	76	1.9k
Tracie Barber Australia	26	1.1k 2.5×	374 1.2×	352 1.1×	319 1.3×	1.1k 5.7×	209	2.3k
Saša Kenjereš Netherlands	31	1.6k 3.8×	862 2.7×	190 0.6×	157 0.6×	446 2.4×	157	3.1k
B. J. Bellhouse United Kingdom	24	564 1.3×	594 1.9×	298 1.0×	238 1.0×	159 0.9×	68	2.0k
Eduardo Divo United States	22	736 1.7×	342 1.1×	87 0.3×	230 0.9×	386 2.1×	141	1.8k
H. T. Low Singapore	25	1.0k 2.4×	557 1.8×	441 1.4×	238 1.0×	222 1.2×	82	2.0k
Arif Masud United States	34	2.0k 4.7×	422 1.3×	137 0.4×	288 1.2×	97 0.5×	137	3.5k
Michael W. Plesniak United States	28	991 2.3×	604 1.9×	294 0.9×	259 1.1×	655 3.5×	118	2.4k

Countries citing papers authored by Mark Jermy

Since Specialization

Citations

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

Fields of papers citing papers by Mark Jermy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Jermy

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Jermy. A scholar is included among the top collaborators of Mark Jermy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Jermy. Mark Jermy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Docherty, Paul D., et al.. (2024). Literature Survey for In-Vivo Reynolds and Womersley Numbers of Various Arteries and Implications for Compliant In-Vitro Modelling. Cardiovascular Engineering and Technology. 15(4). 418–430. 1 indexed citations

Jermy, Mark, et al.. (2023). Cyclic Appearance and Disappearance of Aerosol Nucleation in the Boundary Layer of Drops of Volatile Liquid. Energies. 16(22). 7491–7491.

Choi, Joanne Jung Eun, et al.. (2022). Dental high-speed handpiece and ultrasonic scaler aerosol generation levels and the effect of suction and air supply. Infection Control and Hospital Epidemiology. 44(6). 926–933. 9 indexed citations

Derrick, Donald, et al.. (2022). Speech air flow with and without face masks. Scientific Reports. 12(1). 837–837. 5 indexed citations

Geoghegan, Patrick H., et al.. (2021). Numerical study of flow structure and pedestrian‐level wind comfort inside urban street canyons. Journal of the Royal Society of New Zealand. 51(2). 307–332. 8 indexed citations

Garnich, Mark, et al.. (2021). Sensitivity of material model parameters on finite element models of infant head impacts. Biomechanics and Modeling in Mechanobiology. 20(5). 1675–1688. 6 indexed citations

Docherty, Paul D., et al.. (2020). In‐vitro particle image velocimetry assessment of the endovascular haemodynamic features distal of stent‐grafts that are associated with development of limb occlusion. Journal of the Royal Society of New Zealand. 51(2). 361–374. 2 indexed citations

Salati, Hana, et al.. (2020). Neti pot irrigation volume filling simulation using anatomically accurate in-vivo nasal airway geometry. Respiratory Physiology & Neurobiology. 284. 103580–103580. 8 indexed citations

Li, Jun, et al.. (2019). Hydrodynamic control of titania nanotube formation on Ti-6Al-4V alloys enhances osteogenic differentiation of human mesenchymal stromal cells. Materials Science and Engineering C. 109. 110562–110562. 28 indexed citations

10.

Jermy, Mark, et al.. (2016). A deformable template method for describing and averaging the anatomical variation of the human nasal cavity. BMC Medical Imaging. 16(1). 55–55. 13 indexed citations

11.

Waddell, John Neil, et al.. (2016). Use of agar/glycerol and agar/glycerol/water as a translucent brain simulant for ballistic testing. Journal of the mechanical behavior of biomedical materials. 65. 665–671. 14 indexed citations

12.

Geoghegan, Patrick H., et al.. (2014). Visualization of the air ejected from the temporary cavity in brain and tissue simulants during gunshot wounding. Forensic Science International. 246. 104–109. 5 indexed citations

13.

Jermy, Mark, et al.. (2013). Blood drop size in passive dripping from weapons. Forensic Science International. 228(1-3). 75–82. 17 indexed citations

14.

Jermy, Mark, et al.. (2012). The Effects of Propane and Gasoline Sprays Structures from Automotive Fuel Injectors under Various Fuel and Ambient Pressures on Engine Performance. World Applied Sciences Journal. 18(3). 396–403. 2 indexed citations

15.

Jermy, Mark, et al.. (2011). Validity and Inherent Viscosity of the Quiet Direct Simulation Method. AIP conference proceedings. 902–909. 1 indexed citations

16.

Ho, Wei Hua, et al.. (2008). Formation of Sink Vortices in a Jet Engine Test Cell. Engineering letters. 16. 406–411. 6 indexed citations

17.

Buchmann, Nicolas & Mark Jermy. (2007). Particle image velocimetry measurements of blood flow in a modeled carotid artery bifurcation. Queensland's institutional digital repository (The University of Queensland). 60–67. 10 indexed citations

18.

Jermy, Mark, et al.. (2007). CFD study of wake decay and separation regions in jet engine test facilities. Queensland's institutional digital repository (The University of Queensland). 436–442. 1 indexed citations

19.

Spence, C. J. T., Nicolas Buchmann, & Mark Jermy. (2007). Airflow in a Domestic Kitchen Oven measured by Particle Image Velocimetry. Queensland's institutional digital repository (The University of Queensland). 1364–1368. 1 indexed citations

20.

Ho, Wei Hua & Mark Jermy. (2007). Validated CFD simulations of vortex formation in jet engine test cells. Queensland's institutional digital repository (The University of Queensland). 27 Suppl 1. 1102–1107. 5 indexed citations

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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