Michael L. Minion

3.5k total citations · 1 hit paper
44 papers, 2.4k citations indexed

About

Michael L. Minion is a scholar working on Computational Mechanics, Numerical Analysis and Electrical and Electronic Engineering. According to data from OpenAlex, Michael L. Minion has authored 44 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Mechanics, 25 papers in Numerical Analysis and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Michael L. Minion's work include Numerical methods for differential equations (24 papers), Computational Fluid Dynamics and Aerodynamics (18 papers) and Advanced Numerical Methods in Computational Mathematics (15 papers). Michael L. Minion is often cited by papers focused on Numerical methods for differential equations (24 papers), Computational Fluid Dynamics and Aerodynamics (18 papers) and Advanced Numerical Methods in Computational Mathematics (15 papers). Michael L. Minion collaborates with scholars based in United States, Germany and Switzerland. Michael L. Minion's co-authors include David L. Brown, Ricardo Cortez, Anita T. Layton, Matthew Emmett, Jingfang Huang, Anne Bourlioux, Robert Speck, Daniel Ruprecht, John B. Bell and Sarah Thomas and has published in prestigious journals such as Journal of Computational Physics, Mathematics of Computation and IEEE Transactions on Medical Imaging.

In The Last Decade

Michael L. Minion

39 papers receiving 2.3k 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.

Accurate Projection Methods for the Incompressible Navier–Stokes Equations

2001 649 citations David L. Brown, Ricardo Cortez et al. Journal of Computational Physics profile →

Peers

Michael L. Minion

CM

NA

EEE

CTM

SNP

Weizhang Huang United States

John N. Shadid United States

S Rebay Italy

Gregor J. Gassner Germany

David A. Kopriva United States

F. Bassi Italy

Dong Liang China

Magnus Svärd Norway

L. Quartapelle Italy

Roger P. Pawlowski United States

Weizhang Huang United States

Michael L. Minion

2.4k ×1.3

CM

1.1k ×1.4

NA

267 ×0.7

EEE

616 ×1.9

CTM

263 ×1.2

SNP

Citations per year, relative to Michael L. Minion Michael L. Minion (= 1×) peers Weizhang Huang

Countries citing papers authored by Michael L. Minion

Since Specialization

Citations

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

Fields of papers citing papers by Michael L. Minion

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Minion

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Minion, Michael L., et al.. (2024). Spectral Deferred Correction Methods for Second-Order Problems. SIAM Journal on Scientific Computing. 46(3). A1690–A1713.

2.

Minion, Michael L., et al.. (2023). Exponential Runge-Kutta Parareal for non-diffusive equations. Journal of Computational Physics. 497. 112623–112623.

3.

Hristov, Dimitre, et al.. (2022). Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 41(12). 3824–3834.

4.

Hamon, François P., Martin Schreiber, & Michael L. Minion. (2019). Parallel-in-time multi-level integration of the shallow-water equations on the rotating sphere. Journal of Computational Physics. 407. 109210–109210. 11 indexed citations

5.

Laugesen, Richard S., et al.. (2019). Torsion and ground state maxima: close but not the same. eScholarship (California Digital Library). 2 indexed citations

6.

Krull, Brandon T. & Michael L. Minion. (2019). Parallel-In-Time Magnus Integrators. SIAM Journal on Scientific Computing. 41(5). A2999–A3020.

7.

Hamon, François P., Martin Schreiber, & Michael L. Minion. (2018). Multi-level spectral deferred corrections scheme for the shallow water equations on the rotating sphere. Journal of Computational Physics. 376. 435–454. 8 indexed citations

8.

Speck, Robert, Daniel Ruprecht, Matthew Emmett, et al.. (2014). A multi-level spectral deferred correction method. BIT Numerical Mathematics. 55(3). 843–867. 39 indexed citations

9.

Emmett, Matthew & Michael L. Minion. (2012). Toward an efficient parallel in time method for partial differential equations. Project Euclid (Cornell University). 7(1). 105–132. 130 indexed citations

10.

Minion, Michael L., et al.. (2011). Modeling slender bodies with the method of regularized Stokeslets. Journal of Computational Physics. 230(10). 3929–3947. 17 indexed citations

11.

Minion, Michael L.. (2010). A hybrid parareal spectral deferred corrections method. 5(2). 117–153. 3 indexed citations

12.

Minion, Michael L.. (2010). A hybrid parareal spectral deferred corrections method. Project Euclid (Cornell University). 5(2). 265–301. 97 indexed citations

13.

Layton, Anita T. & Michael L. Minion. (2007). Implications of the choice of predictors for semi-implicit Picard integral deferred correction methods. Project Euclid (Cornell University). 2(1). 1–34. 29 indexed citations

14.

Huang, Jingfang, et al.. (2006). Arbitrary order Krylov deferred correction methods for differential algebraic equations. Journal of Computational Physics. 221(2). 739–760. 75 indexed citations

15.

Huang, Jingfang, et al.. (2005). Accelerating the convergence of spectral deferred correction methods. Journal of Computational Physics. 214(2). 633–656. 104 indexed citations

16.

Minion, Michael L.. (2003). Semi-implicit projection methods for incompressible flow based on spectral deferred corrections. Applied Numerical Mathematics. 48(3-4). 369–387. 75 indexed citations

17.

Layton, Anita T. & Michael L. Minion. (2003). Conservative multi-implicit spectral deferred correction methods for reacting gas dynamics. Journal of Computational Physics. 194(2). 697–715. 70 indexed citations

18.

Brown, David L., Ricardo Cortez, & Michael L. Minion. (2001). Accurate Projection Methods for the Incompressible Navier–Stokes Equations. Journal of Computational Physics. 168(2). 464–499. 649 indexed citations breakdown →

19.

Minion, Michael L. & David L. Brown. (1997). Performance of Under-resolved Two-Dimensional Incompressible Flow Simulations, II. Journal of Computational Physics. 138(2). 734–765. 137 indexed citations

20.

Minion, Michael L.. (1995). Performance of Under-resolved Two-Dimensional Incompressible Flow Simulations. Journal of Computational Physics. 122(1). 165–183. 143 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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