John Charonko

1.5k total citations
41 papers, 1.1k citations indexed

About

John Charonko is a scholar working on Computational Mechanics, Cardiology and Cardiovascular Medicine and Aerospace Engineering. According to data from OpenAlex, John Charonko has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Aerospace Engineering. Recurrent topics in John Charonko's work include Fluid Dynamics and Turbulent Flows (18 papers), Aerodynamics and Acoustics in Jet Flows (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). John Charonko is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Aerodynamics and Acoustics in Jet Flows (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). John Charonko collaborates with scholars based in United States, Ireland and Canada. John Charonko's co-authors include Pavlos P. Vlachos, Kelley C. Stewart, William C. Little, Zhenyu Xue, Barton L. Smith, Adric Eckstein, Kathy Prestridge, Rahul Kumar, Takahiro Ohara and Sayantan Bhattacharya and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Applied Physics and Journal of Fluid Mechanics.

In The Last Decade

John Charonko

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Charonko United States 17 640 272 270 146 120 41 1.1k
Paul Fischer United States 22 1.5k 2.4× 271 1.0× 226 0.8× 272 1.9× 270 2.3× 50 2.0k
Ralph W. Metcalfe United States 22 1.4k 2.1× 408 1.5× 167 0.6× 311 2.1× 176 1.5× 65 2.2k
Herbert Oertel Germany 20 987 1.5× 378 1.4× 353 1.3× 186 1.3× 122 1.0× 72 1.8k
C. Michler United Kingdom 18 865 1.4× 98 0.4× 172 0.6× 47 0.3× 69 0.6× 24 1.3k
Andrew Comerford Germany 15 530 0.8× 113 0.4× 85 0.3× 110 0.8× 86 0.7× 31 1.0k
Óscar Flores Spain 20 1.1k 1.7× 369 1.4× 132 0.5× 366 2.5× 44 0.4× 81 1.6k
H. A. Dwyer United States 20 988 1.5× 309 1.1× 169 0.6× 91 0.6× 145 1.2× 94 1.5k
Christian H. Whiting United States 8 882 1.4× 131 0.5× 88 0.3× 61 0.4× 95 0.8× 12 1.2k
Scott Woodward United States 15 460 0.7× 173 0.6× 110 0.4× 86 0.6× 70 0.6× 20 1.1k
Michele Milano United States 12 466 0.7× 306 1.1× 143 0.5× 36 0.2× 46 0.4× 20 831

Countries citing papers authored by John Charonko

Since Specialization
Citations

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

Fields of papers citing papers by John Charonko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Charonko

This figure shows the co-authorship network connecting the top 25 collaborators of John Charonko. A scholar is included among the top collaborators of John Charonko 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 John Charonko. John Charonko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Charonko, John, et al.. (2024). A fast, matrix-based method to perform omnidirectional pressure integration. Measurement Science and Technology. 35(6). 65302–65302. 3 indexed citations
2.
Charonko, John, et al.. (2024). One-shot omnidirectional pressure integration through matrix inversion. Measurement Science and Technology. 35(12). 125301–125301. 2 indexed citations
3.
Hartsfield, Thomas, R. Schulze, B. M. La Lone, et al.. (2022). The temperatures of ejecta transporting in vacuum and gases. Journal of Applied Physics. 131(19). 6 indexed citations
4.
Buttler, W. T., R. Schulze, John Charonko, et al.. (2020). Understanding the transport and break up of reactive ejecta. Physica D Nonlinear Phenomena. 415. 132787–132787. 13 indexed citations
5.
Buttler, W. T., J. C. Cooley, J. E. Hammerberg, et al.. (2020). Studies of reactive and nonreactive metals–ejecta–transporting nonreactive and reactive gases and vacuum. AIP conference proceedings. 2272. 120003–120003. 4 indexed citations
6.
Charonko, John, et al.. (2020). Windowed Fourier transform and cross-correlation algorithms for molecular tagging velocimetry. Measurement Science and Technology. 31(7). 74007–74007. 2 indexed citations
7.
Neal, Douglas, et al.. (2020). Accuracy of volumetric flow rate inflow/outflow measurement by integrating PIV velocity fields. Measurement Science and Technology. 31(11). 115303–115303. 5 indexed citations
8.
Lai, Chris C. K., John Charonko, & Kathy Prestridge. (2018). A Kármán–Howarth–Monin equation for variable-density turbulence. Journal of Fluid Mechanics. 843. 382–418. 16 indexed citations
9.
Charonko, John, et al.. (2016). Uncertainty quantification in volumetric Particle Image Velocimetry.. Bulletin of the American Physical Society. 1 indexed citations
10.
Xue, Zhenyu, John Charonko, & Pavlos P. Vlachos. (2013). Signal-to-noise ratio, error and uncertainty of PIV measurement. Research Repository (Delft University of Technology). 12 indexed citations
11.
Charonko, John, Rahul Kumar, Kelley C. Stewart, William C. Little, & Pavlos P. Vlachos. (2013). Vortices Formed on the Mitral Valve Tips Aid Normal Left Ventricular Filling. Annals of Biomedical Engineering. 41(5). 1049–1061. 87 indexed citations
12.
Stewart, Kelley C., et al.. (2012). Left ventricular vortex formation is unaffected by diastolic impairment. American Journal of Physiology-Heart and Circulatory Physiology. 303(10). H1255–H1262. 36 indexed citations
13.
Xiao, S. Y., John Charonko, Alireza Salmanzadeh, et al.. (2012). Structure, Sulfatide Binding Properties, and Inhibition of Platelet Aggregation by a Disabled-2 Protein-derived Peptide. Journal of Biological Chemistry. 287(45). 37691–37702. 15 indexed citations
14.
Charonko, John & Pavlos P. Vlachos. (2012). Estimation of Uncertainty Bounds From Cross Correlation Peak Ratio for Individual PIV Measurements. 23–33. 7 indexed citations
15.
Ohara, Takahiro, Kelley C. Stewart, John Charonko, et al.. (2012). Loss of Adrenergic Augmentation of Diastolic Intra-LV Pressure Difference in Patients With Diastolic Dysfunction. JACC. Cardiovascular imaging. 5(9). 861–870. 51 indexed citations
16.
Kumar, Rahul, John Charonko, W. Gregory Hundley, et al.. (2011). Assessment of Left Ventricular Diastolic Function Using 4-Dimensional Phase-Contrast Cardiac Magnetic Resonance. Journal of Computer Assisted Tomography. 35(1). 108–112. 10 indexed citations
17.
Welsh, John D., John Charonko, Alireza Salmanzadeh, et al.. (2011). Disabled‐2 modulates homotypic and heterotypic platelet interactions by binding to sulfatides. British Journal of Haematology. 154(1). 122–133. 18 indexed citations
18.
Eckstein, Adric, et al.. (2009). A Methodology for Time-Resolved microDPIV. Bulletin of the American Physical Society. 62. 2 indexed citations
19.
Charonko, John, et al.. (2009). In Vitro, Time-Resolved PIV Comparison of the Effect of Stent Design on Wall Shear Stress. Annals of Biomedical Engineering. 37(7). 1310–1321. 49 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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