Jeffrey J. Heys

2.2k total citations
57 papers, 1.6k citations indexed

About

Jeffrey J. Heys is a scholar working on Computational Mechanics, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jeffrey J. Heys has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 10 papers in Biomedical Engineering and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jeffrey J. Heys's work include Advanced Numerical Methods in Computational Mathematics (11 papers), Lattice Boltzmann Simulation Studies (7 papers) and Cardiovascular Function and Risk Factors (7 papers). Jeffrey J. Heys is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (11 papers), Lattice Boltzmann Simulation Studies (7 papers) and Cardiovascular Function and Risk Factors (7 papers). Jeffrey J. Heys collaborates with scholars based in United States, Bulgaria and Norway. Jeffrey J. Heys's co-authors include Victor H. Barocas, Kaushal Rege, Huang‐Chiao Huang, Hans De Sterck, Ulrike Meier Yang, Thomas A. Manteuffel, Jeffrey J. Iliff, Theodore W. Randolph, Jing Xu and Tomáš Gedeon and has published in prestigious journals such as ACS Nano, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Jeffrey J. Heys

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey J. Heys United States 23 394 312 286 279 204 57 1.6k
S. Sivaloganathan Canada 25 147 0.4× 204 0.7× 258 0.9× 53 0.2× 276 1.4× 81 1.9k
Peter M. Pinsky United States 29 656 1.7× 711 2.3× 820 2.9× 335 1.2× 102 0.5× 99 3.0k
Seiji Takagi Japan 21 21 0.1× 325 1.0× 678 2.4× 403 1.4× 376 1.8× 99 2.0k
Osamu Mori Japan 27 100 0.3× 94 0.3× 104 0.4× 79 0.3× 469 2.3× 294 3.3k
Alessio Gizzi Italy 23 73 0.2× 166 0.5× 527 1.8× 22 0.1× 227 1.1× 90 1.6k
Edmund Koch Germany 30 53 0.1× 555 1.8× 1.2k 4.2× 147 0.5× 490 2.4× 247 3.0k
Håkan Persson Sweden 34 541 1.4× 166 0.5× 240 0.8× 27 0.1× 1.6k 8.0× 103 4.0k
N. A. Hill United Kingdom 31 780 2.0× 104 0.3× 1.7k 5.8× 13 0.0× 226 1.1× 89 3.3k
J. Bragard Spain 18 184 0.5× 36 0.1× 153 0.5× 33 0.1× 85 0.4× 69 1.1k
Marc Horner United States 16 44 0.1× 70 0.2× 236 0.8× 24 0.1× 200 1.0× 45 1.1k

Countries citing papers authored by Jeffrey J. Heys

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Heys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Heys. 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 Jeffrey J. Heys. The network helps show where Jeffrey J. Heys may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Heys

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Heys. A scholar is included among the top collaborators of Jeffrey J. Heys 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 Jeffrey J. Heys. Jeffrey J. Heys 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.
Heys, Jeffrey J., et al.. (2025). Rapid implementation and adaptive design of a large-scale monitoring program for a declining species. Biological Conservation. 311. 111442–111442.
2.
Pike, Martin M., et al.. (2021). Quantitative analysis of macroscopic solute transport in the murine brain. Fluids and Barriers of the CNS. 18(1). 55–55. 18 indexed citations
3.
Heys, Jeffrey J.. (2018). Machine Learning as a Tool to Identify Critical Assignments. Chemical Engineering Education. 52(4). 243–250. 4 indexed citations
4.
Carlson, Ross P., et al.. (2017). Effects of Spatial Localization on Microbial Consortia Growth. PLoS ONE. 12(1). e0168592–e0168592. 8 indexed citations
5.
Manteuffel, Thomas A., et al.. (2014). Echocardiographic particle imaging velocimetry data assimilation with least square finite element methods. Computers & Mathematics with Applications. 68(11). 1569–1580. 5 indexed citations
6.
Gedeon, Tomáš, et al.. (2012). Effect of Model Selection on Prediction of Periodic Behavior in Gene Regulatory Networks. Bulletin of Mathematical Biology. 74(8). 1706–1726. 5 indexed citations
7.
Heys, Jeffrey J., et al.. (2011). Biofilm deformation in response to fluid flow in capillaries. Biotechnology and Bioengineering. 108(8). 1893–1899. 12 indexed citations
8.
Huang, Huang‐Chiao, Kaushal Rege, & Jeffrey J. Heys. (2010). Spatiotemporal Temperature Distribution and Cancer Cell Death in Response to Extracellular Hyperthermia Induced by Gold Nanorods. ACS Nano. 4(5). 2892–2900. 169 indexed citations
9.
Heys, Jeffrey J., et al.. (2010). An experimentally validated immersed boundary model of fluid–biofilm interaction. Water Science & Technology. 61(12). 3033–3040. 13 indexed citations
10.
Jiamsripong, Panupong, Mohsen Alharthi, Eun Joo Cho, et al.. (2009). Increase in the Late Diastolic Filling Force Is Associated With Impaired Transmitral Flow Efficiency in Acute Moderate Elevation of Left Ventricular Afterload. Journal of Ultrasound in Medicine. 28(2). 175–182. 8 indexed citations
11.
Jiamsripong, Panupong, Mohsen Alharthi, Eileen M. McMahon, et al.. (2009). Impact of Acute Moderate Elevation in Left Ventricular Afterload on Diastolic Transmitral Flow Efficiency: Analysis by Vortex Formation Time. Journal of the American Society of Echocardiography. 22(4). 427–431. 31 indexed citations
12.
Heys, Jeffrey J.. (2008). Group Projects in Chemical Engineering Using a Wiki. Chemical Engineering Education. 42(2). 91–95. 6 indexed citations
13.
Heys, Jeffrey J., et al.. (2008). Modeling arthropod filiform hair motion using the penalty immersed boundary method. Journal of Biomechanics. 41(5). 977–984. 22 indexed citations
14.
Heys, Jeffrey J., Eunjung Lee, Thomas A. Manteuffel, & Steve McCormick. (2007). An alternative least-squares formulation of the Navier–Stokes equations with improved mass conservation. Journal of Computational Physics. 226(1). 994–1006. 38 indexed citations
15.
Sterck, Hans De, Ulrike Meier Yang, & Jeffrey J. Heys. (2006). Reducing Complexity in Parallel Algebraic Multigrid Preconditioners. SIAM Journal on Matrix Analysis and Applications. 27(4). 1019–1039. 134 indexed citations
16.
Heys, Jeffrey J., et al.. (2004). Algebraic Multigrid (AMG) for Higher-Order Finite Elements. 2 indexed citations
17.
Heys, Jeffrey J., Thomas A. Manteuffel, Steve McCormick, & J. Ruge. (2003). First-order system least squares (FOSLS) for coupled fluid-elastic problems. Journal of Computational Physics. 195(2). 560–575. 27 indexed citations
18.
Heys, Jeffrey J. & Victor H. Barocas. (2002). A Boussinesq Model of Natural Convection in the Human Eye and the Formation of Krukenberg’s Spindle. Annals of Biomedical Engineering. 30(3). 392–401. 81 indexed citations
19.
Heys, Jeffrey J. & Victor H. Barocas. (2002). Computational evaluation of the role of accommodation in pigmentary glaucoma.. PubMed. 43(3). 700–8. 29 indexed citations
20.
Heys, Jeffrey J. & Victor H. Barocas. (1999). Mechanical characterization of the bovine iris. Journal of Biomechanics. 32(9). 999–1003. 46 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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