Amanda Randles

3.4k total citations · 1 hit paper
85 papers, 2.1k citations indexed

About

Amanda Randles is a scholar working on Computational Mechanics, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amanda Randles has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 25 papers in Surgery and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amanda Randles's work include Lattice Boltzmann Simulation Studies (28 papers), Cardiovascular Function and Risk Factors (16 papers) and Coronary Interventions and Diagnostics (16 papers). Amanda Randles is often cited by papers focused on Lattice Boltzmann Simulation Studies (28 papers), Cardiovascular Function and Risk Factors (16 papers) and Coronary Interventions and Diagnostics (16 papers). Amanda Randles collaborates with scholars based in United States, Brazil and Finland. Amanda Randles's co-authors include John Gounley, Daniel C. Corbett, Peter A. Galie, Chelsea L. Fortin, Kelly R. Stevens, Bagrat Grigoryan, Jordan S. Miller, Samantha J. Paulsen, Fredrik Johansson and Daniel W. Sazer and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amanda Randles

75 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multivascular networks and functional intravascular topologies within biocompatible hydrogels

2019 1.1k citations Bagrat Grigoryan, Samantha J. Paulsen et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanda Randles United States	21	1.2k	447	416	306	267	85	2.1k
John Gounley United States	17	1.0k 0.9×	434 1.0×	301 0.7×	192 0.6×	190 0.7×	49	1.8k
Hwa Liang Leo Singapore	29	1.2k 1.0×	69 0.2×	771 1.9×	183 0.6×	529 2.0×	152	2.8k
Makoto Kaneko Japan	26	758 0.6×	57 0.1×	265 0.6×	116 0.4×	211 0.8×	214	2.2k
Christian J. Cyron Germany	30	1.0k 0.9×	57 0.1×	246 0.6×	624 2.0×	233 0.9×	89	2.9k
Edmond W. K. Young Canada	33	3.5k 3.0×	177 0.4×	314 0.8×	55 0.2×	183 0.7×	77	4.5k
Spandan Maiti United States	24	664 0.6×	108 0.2×	262 0.6×	146 0.5×	221 0.8×	65	2.4k
Netanel Korin Israel	24	1.3k 1.1×	63 0.1×	219 0.5×	108 0.4×	350 1.3×	59	2.1k
Andreas Menzel Germany	31	1.9k 1.6×	62 0.1×	225 0.5×	213 0.7×	106 0.4×	212	3.7k
Rebecca J. Shipley United Kingdom	25	587 0.5×	45 0.1×	229 0.6×	160 0.5×	78 0.3×	77	1.6k
Kausik Sarkar United States	35	2.4k 2.0×	322 0.7×	140 0.3×	633 2.1×	246 0.9×	120	3.6k

Countries citing papers authored by Amanda Randles

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Randles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Randles

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Randles. A scholar is included among the top collaborators of Amanda Randles 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 Amanda Randles. Amanda Randles 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

Randles, Amanda, et al.. (2025). Impact of inlet velocity waveform shape on hemodynamics. Journal of Computational Science. 87. 102579–102579.

Jensen, Christopher, et al.. (2025). Digital twins for noninvasively measuring predictive markers of right heart failure. npj Digital Medicine. 8(1). 545–545. 1 indexed citations

Vardhan, Madhurima, W. Schuyler Jones, Andrew M. Kahn, et al.. (2024). Diagnostic Performance of Coronary Angiography Derived Computational Fractional Flow Reserve. Journal of the American Heart Association. 13(13). e029941–e029941. 4 indexed citations

Kabir, Mamun, et al.. (2024). Investigating the impact of sickle cell disease on red blood cell transport in complex capillary networks. PubMed. 2024. 1–4. 1 indexed citations

Kaplan, Michael, Christopher Jensen, Kevin D. Hill, et al.. (2024). Surgical Modulation of Pulmonary Artery Shear Stress: A Patient-Specific CFD Analysis of the Norwood Procedure. Cardiovascular Engineering and Technology. 15(4). 431–442.

Randles, Amanda, et al.. (2023). Establishing massively parallel models to examine the influence of cell heterogeneity on tumor growth. Journal of Computational Science. 71. 102059–102059. 3 indexed citations

Lee, Seyong, John Gounley, Jeffrey S. Vetter, et al.. (2023). Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1126–1137.

Balogh, Péter, et al.. (2023). Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts. PubMed. 2023. 1–13. 1 indexed citations

Gounley, John, et al.. (2023). Effect of constitutive law on the erythrocyte membrane response to large strains. Computers & Mathematics with Applications. 132. 145–160. 5 indexed citations

10.

Balogh, Péter, John Gounley, Benjamín Hernández, et al.. (2022). High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. PubMed. 2022. 230–242. 1 indexed citations

11.

Vardhan, Madhurima, et al.. (2022). Characterization of hemodynamics in anomalous aortic origin of coronary arteries using patient-specific modeling. Journal of Biomechanics. 132. 110919–110919. 8 indexed citations

12.

Balogh, Péter, et al.. (2021). A data-driven approach to modeling cancer cell mechanics during microcirculatory transport. Scientific Reports. 11(1). 15232–15232. 16 indexed citations

13.

Dabagh, Mahsa, John Gounley, & Amanda Randles. (2020). Localization of Rolling and Firm-Adhesive Interactions Between Circulating Tumor Cells and the Microvasculature Wall. Cellular and Molecular Bioengineering. 13(2). 141–154. 17 indexed citations

14.

Kochar, Ajar, et al.. (2020). Determining the impacts of venoarterial extracorporeal membrane oxygenation on cerebral oxygenation using a one-dimensional blood flow simulator. Journal of Biomechanics. 104. 109707–109707. 18 indexed citations

15.

Gounley, John, Dale Adler, Jane A. Leopold, et al.. (2020). Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks. Scientific Reports. 10(1). 9508–9508. 28 indexed citations

16.

Grigoryan, Bagrat, Samantha J. Paulsen, Daniel C. Corbett, et al.. (2019). Multivascular networks and functional intravascular topologies within biocompatible hydrogels. Science. 364(6439). 458–464. 1086 indexed citations breakdown →

17.

Gounley, John, Madhurima Vardhan, & Amanda Randles. (2018). A framework for comparing vascular hemodynamics at different points in time. Computer Physics Communications. 235. 1–8. 8 indexed citations

18.

Gounley, John, Erik W. Draeger, Tomas Oppelstrup, et al.. (2018). Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of Biomechanics. 82. 28–37. 7 indexed citations

19.

Gounley, John, Erik W. Draeger, & Amanda Randles. (2017). Numerical simulation of a compound capsule in a constricted microchannel. Procedia Computer Science. 108. 175–184. 27 indexed citations

20.

Randles, Amanda, et al.. (2015). Massively parallel simulations of hemodynamics in the primary large arteries of the human vasculature. Journal of Computational Science. 9. 70–75. 42 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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