David F. Fletcher

14.6k total citations
365 papers, 11.4k citations indexed

About

David F. Fletcher is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, David F. Fletcher has authored 365 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Computational Mechanics, 121 papers in Biomedical Engineering and 81 papers in Mechanical Engineering. Recurrent topics in David F. Fletcher's work include Fluid Dynamics and Mixing (62 papers), Fluid Dynamics and Heat Transfer (51 papers) and Heat Transfer and Boiling Studies (40 papers). David F. Fletcher is often cited by papers focused on Fluid Dynamics and Mixing (62 papers), Fluid Dynamics and Heat Transfer (51 papers) and Heat Transfer and Boiling Studies (40 papers). David F. Fletcher collaborates with scholars based in Australia, United Kingdom and France. David F. Fletcher's co-authors include Brian S. Haynes, Dianne E. Wiley, T.A.G. Langrish, Raghvendra Gupta, Dalton J. E. Harvie, Catherine Xuereb, J. Aubin, J. Schwinge, Hak‐Kim Chan and John M. Kavanagh and has published in prestigious journals such as Environmental Science & Technology, Gastroenterology and Neurology.

In The Last Decade

David F. Fletcher

356 papers receiving 10.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David F. Fletcher Australia 58 4.6k 4.5k 2.9k 1.9k 1.6k 365 11.4k
Jesse Zhu Canada 60 7.6k 1.7× 4.6k 1.0× 4.7k 1.6× 1.1k 0.6× 1.4k 0.8× 554 14.6k
Jiyuan Tu Australia 53 4.1k 0.9× 2.5k 0.5× 3.0k 1.1× 377 0.2× 1.5k 0.9× 582 12.1k
Martin Sommerfeld Germany 45 7.2k 1.6× 1.5k 0.3× 1.1k 0.4× 422 0.2× 1.4k 0.9× 208 9.4k
Goodarz Ahmadi United States 68 8.4k 1.8× 6.2k 1.4× 5.2k 1.8× 485 0.3× 3.8k 2.4× 791 21.2k
Sang Joon Lee South Korea 45 1.2k 0.3× 2.1k 0.5× 780 0.3× 510 0.3× 1.3k 0.8× 438 8.1k
Guan Heng Yeoh Australia 52 2.6k 0.6× 3.5k 0.8× 2.2k 0.8× 413 0.2× 952 0.6× 368 10.7k
David V. Boger Australia 60 3.3k 0.7× 2.2k 0.5× 1.7k 0.6× 1.1k 0.6× 720 0.4× 170 12.1k
N. Phan‐Thien Australia 55 4.6k 1.0× 3.0k 0.7× 1.2k 0.4× 187 0.1× 456 0.3× 396 11.1k
R.A. Williams United Kingdom 47 2.0k 0.4× 3.3k 0.7× 3.3k 1.2× 1.5k 0.8× 3.2k 2.0× 307 9.9k
Yunus A. Çengel United States 24 1.7k 0.4× 1.8k 0.4× 5.2k 1.8× 334 0.2× 1.3k 0.8× 71 10.4k

Countries citing papers authored by David F. Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by David F. Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Fletcher. 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 David F. Fletcher. The network helps show where David F. Fletcher may publish in the future.

Co-authorship network of co-authors of David F. Fletcher

This figure shows the co-authorship network connecting the top 25 collaborators of David F. Fletcher. A scholar is included among the top collaborators of David F. Fletcher 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 David F. Fletcher. David F. Fletcher 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.
Liu, Chuanhai, David F. Fletcher, Selene Pirola, et al.. (2025). Simulating big mechanically-active culture systems (BigMACS) using paired biomechanics-histology FEA modelling to derive mechanobiology design relationships. Biofabrication. 17(3). 35006–35006. 1 indexed citations
2.
Li, Miao, et al.. (2024). Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems. Desalination. 587. 117893–117893. 22 indexed citations
3.
Liu, Xinying, David F. Fletcher, & Gail M. Bornhorst. (2024). A review of the use of numerical analysis in stomach modeling. Journal of Food Science. 89(7). 3894–3916. 3 indexed citations
4.
Fletcher, David F., et al.. (2023). Application of Stress Blended Eddy Simulation to the prediction of clarified layer depth and solids suspension in a draft tube reactor. Process Safety and Environmental Protection. 197. 292–306.
5.
Fletcher, David F., et al.. (2023). A modelling workflow for quantification of photobioreactor performance. Chemical Engineering Journal. 477. 147032–147032. 6 indexed citations
6.
Fletcher, David F., et al.. (2023). CFD simulation of hydrodynamics and concentration polarization in osmotically assisted reverse osmosis membrane systems. Journal of Water Process Engineering. 57. 104535–104535. 9 indexed citations
7.
Liu, Xinying, et al.. (2023). Simulating Tablet Dissolution Using Computational Fluid Dynamics and Experimental Modeling. Processes. 11(2). 505–505. 1 indexed citations
8.
Arnold, Rachel, et al.. (2023). A creative nonfiction story of male elite athletes’ experiences of lifetime stressor exposure, performance, and help-seeking behaviors.. Sport Exercise and Performance Psychology. 12(3). 189–204. 3 indexed citations
9.
Fletcher, David F., et al.. (2023). The effect of line-transect placement in a coastal distance sampling survey. ˜The œjournal of cetacean research and management. Special issue. 8(1). 79–85.
10.
Reis, Larissa Gomes dos, et al.. (2023). A counter-swirl design concept for dry powder inhalers. International Journal of Pharmaceutics. 650. 123694–123694. 6 indexed citations
11.
Liu, Xinying, et al.. (2023). Simulating Flow in an Intestinal Peristaltic System: Combining In Vitro and In Silico Approaches. Fluids. 8(11). 298–298. 1 indexed citations
12.
Lorenz, Thomas, Kuang-Ming Kuo, David F. Fletcher, et al.. (2023). Fluid-structure interactions of peripheral arteries using a coupled in silico and in vitro approach. Computers in Biology and Medicine. 165. 107474–107474. 8 indexed citations
13.
Coorey, Genevieve, Gemma A. Figtree, David F. Fletcher, et al.. (2022). The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field. npj Digital Medicine. 5(1). 126–126. 167 indexed citations
14.
Evin, Morgane, et al.. (2022). MRI Assessment of the Bi-Leaflet Mechanical Heart Valve: Investigating the EOA Using the Acoustic Source Term Method. Applied Sciences. 12(22). 11771–11771. 1 indexed citations
15.
Reis, Larissa Gomes dos, et al.. (2020). In-vitro and particle image velocimetry studies of dry powder inhalers. International Journal of Pharmaceutics. 592. 119966–119966. 16 indexed citations
16.
Lloyd, Robert, Marcus A. Stoodley, David F. Fletcher, & Lynne E. Bilston. (2019). The effects of variation in the arterial pulse waveform on perivascular flow. Journal of Biomechanics. 90. 65–70. 8 indexed citations
17.
18.
Fletcher, David F., Bingjing Guo, Dalton J. E. Harvie, et al.. (2006). What is important in the simulation of spray dryer performance and how do current CFD models perform?. Applied Mathematical Modelling. 30(11). 1281–1292. 100 indexed citations
19.
Moghtaderi, Behdad, Vasily B. Novozhilov, David F. Fletcher, & John Kent. (1995). An Integral Model For The Pyrolysis Of Non-Charring Materials. Fire Safety Science. 2. 308–319. 4 indexed citations
20.
Fletcher, David F. & A. Thyagaraja. (1989). Comments on Fuel-Coolant Premixing Modeling. Nuclear Science and Engineering. 103(1). 101–102. 3 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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