Michael Allshouse

510 total citations
20 papers, 354 citations indexed

About

Michael Allshouse is a scholar working on Oceanography, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Michael Allshouse has authored 20 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oceanography, 4 papers in Statistical and Nonlinear Physics and 4 papers in Computational Mechanics. Recurrent topics in Michael Allshouse's work include Oceanographic and Atmospheric Processes (10 papers), Scientific Research and Discoveries (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). Michael Allshouse is often cited by papers focused on Oceanographic and Atmospheric Processes (10 papers), Scientific Research and Discoveries (3 papers) and Lattice Boltzmann Simulation Studies (2 papers). Michael Allshouse collaborates with scholars based in United States, Australia and Norway. Michael Allshouse's co-authors include Thomas Peacock, Jean‐Luc Thiffeault, Akram N. Alshawabkeh, Amir Taqieddin, Michael F. Barad, Nicole L. Jones, Arezoo M. Ardekani, Harry L. Swinney, Gregory N. Ivey and Ryan Lowe and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Journal of The Electrochemical Society.

In The Last Decade

Michael Allshouse

19 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Allshouse United States 9 101 92 72 64 38 20 354
Dali Kong China 14 89 0.9× 52 0.6× 68 0.9× 17 0.3× 66 1.7× 54 756
Theodoros Katsaounis Greece 10 39 0.4× 170 1.8× 65 0.9× 33 0.5× 9 0.2× 35 363
Alexandra von Kameke Germany 10 84 0.8× 120 1.3× 54 0.8× 50 0.8× 110 2.9× 25 358
Francesco Carbone Italy 14 47 0.5× 45 0.5× 102 1.4× 27 0.4× 5 0.1× 60 559
Sophie Loire United States 6 81 0.8× 50 0.5× 47 0.7× 52 0.8× 120 3.2× 18 401
Gerardo Ruíz Chavarria Mexico 10 14 0.1× 277 3.0× 71 1.0× 89 1.4× 22 0.6× 16 474
Tianyu Zhang China 10 69 0.7× 11 0.1× 57 0.8× 8 0.1× 31 0.8× 35 416
Marta Sanchez de La Lama Spain 9 57 0.6× 65 0.7× 31 0.4× 117 1.8× 16 0.4× 13 352
P. J. Blennerhassett Australia 14 44 0.4× 366 4.0× 23 0.3× 35 0.5× 195 5.1× 33 573
Nairita Pal India 11 20 0.2× 166 1.8× 29 0.4× 13 0.2× 34 0.9× 25 398

Countries citing papers authored by Michael Allshouse

Since Specialization
Citations

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

Fields of papers citing papers by Michael Allshouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Allshouse

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Allshouse. A scholar is included among the top collaborators of Michael Allshouse 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 Michael Allshouse. Michael Allshouse 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.
Allshouse, Michael, et al.. (2024). Lagrangian analysis of submesoscale flows from sparse data using Gaussian Process Regression for field reconstruction. Ocean Modelling. 193. 102458–102458. 1 indexed citations
2.
Huntley, Helga S., et al.. (2024). Drifter Deployment Strategies to Determine Lagrangian Surface Convergence in Submesoscale Flows. Journal of Atmospheric and Oceanic Technology. 41(1). 95–112. 3 indexed citations
3.
Allshouse, Michael, et al.. (2023). Seagrass deformation affects fluid instability and tracer exchange in canopy flow. Scientific Reports. 13(1). 3910–3910. 3 indexed citations
4.
Allshouse, Michael, et al.. (2023). Dosimetry Sensitivity in a Lower Dimensional Model of Patient-Specific Asthma Subjects. IEEE Transactions on Biomedical Engineering. 70(9). 2581–2591.
5.
Sarkar, Sutanu, Mara Freilich, Amala Mahadevan, et al.. (2022). Lagrangian surface signatures reveal upper-ocean vertical displacement conduits near oceanic density fronts. Ocean Modelling. 181. 102136–102136. 6 indexed citations
6.
Taqieddin, Amir, et al.. (2020). Computational Modeling of Bubbles Growth Using the Coupled Level Set—Volume of Fluid Method. Fluids. 5(3). 120–120. 10 indexed citations
7.
Allshouse, Michael, et al.. (2020). Evanescent to propagating internal waves in experiments, simulations, and linear theory. Experiments in Fluids. 61(12). 2 indexed citations
8.
Allshouse, Michael & Harry L. Swinney. (2020). Dependence of Internal Wave Bolus Transport on Pycnocline Thickness. Geophysical Research Letters. 47(14). 7 indexed citations
9.
Allshouse, Michael, et al.. (2020). Internal wave boluses as coherent structures in a continuously stratified fluid. Journal of Fluid Mechanics. 885. 9 indexed citations
10.
Taqieddin, Amir, Michael Allshouse, & Akram N. Alshawabkeh. (2018). Editors' Choice—Critical Review—Mathematical Formulations of Electrochemically Gas-Evolving Systems. Journal of The Electrochemical Society. 165(13). E694–E711. 58 indexed citations
11.
Allshouse, Michael, et al.. (2018). Internal wave energy flux from density perturbations in nonlinear stratifications. Journal of Fluid Mechanics. 856. 898–920. 5 indexed citations
12.
Allshouse, Michael, Gregory N. Ivey, Ryan Lowe, et al.. (2016). Impact of windage on ocean surface Lagrangian coherent structures. Environmental Fluid Mechanics. 17(3). 473–483. 35 indexed citations
13.
Allshouse, Michael & Thomas Peacock. (2015). Lagrangian based methods for coherent structure detection. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(9). 97617–97617. 72 indexed citations
14.
Allshouse, Michael & Thomas Peacock. (2015). Refining finite-time Lyapunov exponent ridges and the challenges of classifying them. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(8). 87410–87410. 26 indexed citations
15.
Thiffeault, Jean‐Luc, et al.. (2014). Untangling tracer trajectories and clarifying coherence in 2D flows using braid theory. Bulletin of the American Physical Society. 1 indexed citations
16.
Mercier, Matthieu, et al.. (2014). Self-Propulsion of Immersed Objects via Natural Convection. Physical Review Letters. 112(20). 24 indexed citations
17.
Allshouse, Michael & Jean‐Luc Thiffeault. (2011). Detecting coherent structures using braids. Physica D Nonlinear Phenomena. 241(2). 95–105. 55 indexed citations
18.
Beegle‐Krause, C.J., Thomas Peacock, & Michael Allshouse. (2011). Exploiting Lagrangian coherent structures (LCS) for the calculation of oil spill and search-and-rescue drift patterns in the ocean. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
19.
Allshouse, Michael, Michael F. Barad, & Thomas Peacock. (2010). Propulsion generated by diffusion-driven flow. Nature Physics. 6(7). 516–519. 32 indexed citations
20.
Allshouse, Michael, Nicolas G. Hadjiconstantinou, & Takashi Abe. (2008). Low-variance Deviational Monte Carlo Simulations of Pressure-driven Flow in Micro- and Nanoscale Channels. AIP conference proceedings. 1015–1020. 4 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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