Lawrence Mitchell

1.3k total citations
42 papers, 529 citations indexed

About

Lawrence Mitchell is a scholar working on Computational Mechanics, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Lawrence Mitchell has authored 42 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 8 papers in Hardware and Architecture and 8 papers in Computational Theory and Mathematics. Recurrent topics in Lawrence Mitchell's work include Advanced Numerical Methods in Computational Mathematics (13 papers), Parallel Computing and Optimization Techniques (8 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). Lawrence Mitchell is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (13 papers), Parallel Computing and Optimization Techniques (8 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). Lawrence Mitchell collaborates with scholars based in United Kingdom, United States and Norway. Lawrence Mitchell's co-authors include David A. Ham, Gernot Plank, Steven Niederer, Nicolas P. Smith, Florian Wechsung, Patrick E. Farrell, Tuomas Kärnä, Stephan C. Kramer, António M. Baptista and Matthew D. Piggott and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Biomedical Engineering and Frontiers in Physiology.

In The Last Decade

Lawrence Mitchell

39 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Mitchell United Kingdom 12 201 109 75 57 56 42 529
Robert Klöfkorn Germany 12 472 2.3× 14 0.1× 164 2.2× 61 1.1× 48 0.9× 31 823
Livia Marcellino Italy 15 96 0.5× 12 0.1× 33 0.4× 74 1.3× 19 0.3× 56 512
Robert C. Kirby United States 16 532 2.6× 3 0.0× 198 2.6× 44 0.8× 43 0.8× 57 919
Markus Blatt Germany 7 333 1.7× 13 0.1× 136 1.8× 12 0.2× 45 0.8× 10 615
Are Magnus Bruaset Norway 9 160 0.8× 3 0.0× 64 0.9× 19 0.3× 33 0.6× 26 452
Kai Zhong China 14 33 0.2× 11 0.1× 36 0.5× 42 0.7× 82 1.5× 39 795
Kristian B. Ølgaard Denmark 3 181 0.9× 2 0.0× 66 0.9× 29 0.5× 36 0.6× 5 444
Diego Rossinelli Switzerland 15 444 2.2× 3 0.0× 19 0.3× 31 0.5× 28 0.5× 31 697
T. Kaneko Japan 12 41 0.2× 18 0.2× 82 1.1× 65 1.1× 9 0.2× 50 790
Chung Kwong Yuen Singapore 3 34 0.2× 44 0.4× 6 0.1× 21 0.4× 11 0.2× 4 441

Countries citing papers authored by Lawrence Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Mitchell. A scholar is included among the top collaborators of Lawrence Mitchell 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 Lawrence Mitchell. Lawrence Mitchell 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.
Mitchell, Lawrence, et al.. (2025). asQ: parallel-in-time finite element simulations using ParaDiag for geoscientific models and beyond. Geoscientific model development. 18(14). 4535–4569.
2.
Farrell, Patrick E., Lawrence Mitchell, & L. Ridgway Scott. (2024). Two Conjectures on the Stokes Complex in Three Dimensions on Freudenthal Meshes. SIAM Journal on Scientific Computing. 46(2). A629–A644. 1 indexed citations
3.
Ham, David A., et al.. (2024). Efficient N-to-M Checkpointing Algorithm for Finite Element Simulations. SIAM Journal on Scientific Computing. 46(6). B830–B859.
4.
Farrell, Patrick E., Lawrence Mitchell, L. Ridgway Scott, & Florian Wechsung. (2021). A Reynolds-robust preconditioner for the Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations. Durham Research Online (Durham University). 7. 75–96. 24 indexed citations
5.
Farrell, Patrick E., Lawrence Mitchell, L. Ridgway Scott, & Florian Wechsung. (2020). A Reynolds-robust preconditioner for the Reynolds-robust Scott-Vogelius discretization of the stationary incompressible Navier-Stokes equations. arXiv (Cornell University). 4 indexed citations
6.
Ham, David A., et al.. (2019). Automated shape differentiation in the Unified Form Language. Structural and Multidisciplinary Optimization. 60(5). 1813–1820. 17 indexed citations
7.
McRae, Andrew T. T., et al.. (2019). Compatible Finite Element Methods for Geophysical Flows: Automation and Implementation Using Firedrake. CERN Document Server (European Organization for Nuclear Research). 2 indexed citations
8.
Kärnä, Tuomas, Stephan C. Kramer, Lawrence Mitchell, et al.. (2018). Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations. Geoscientific model development. 11(11). 4359–4382. 78 indexed citations
9.
Luporini, Fabio, et al.. (2018). coneoproject/COFFEE: A Compiler for Fast Expression Evaluation. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
10.
Mitchell, Lawrence, et al.. (2017). Solver composition across the PDE/linear algebra barrier. Figshare. 16 indexed citations
11.
Dalcín, Lisandro, Lawrence Mitchell, Jed Brown, et al.. (2016). petsc4py: The Python interface to PETSc. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
12.
Bercea, Gheorghe-Teodor, Andrew T. T. McRae, David A. Ham, et al.. (2016). A numbering algorithm for finite elements on extruded meshes which avoids the unstructured mesh penalty. 1 indexed citations
13.
Luporini, Fabio, et al.. (2016). COFFEE: A Compiler for Fast Expression Evaluation. Zenodo (CERN European Organization for Nuclear Research). 6 indexed citations
14.
Mitchell, Lawrence & Eike H. Müller. (2016). High level implementation of geometric multigrid solvers for finite element problems: Applications in atmospheric modelling. Journal of Computational Physics. 327. 1–18. 13 indexed citations
15.
Ford, Rupert, David A. Ham, M. P. Hobson, et al.. (2014). Towards Performance Portability with GungHo. EGUGA. 13243. 2 indexed citations
16.
Mitchell, Lawrence. (2014). "Strangely Static": Wonder and Possession in The Professor's House. Literary Imagination. 16(3). 289–308.
17.
Mitchell, Lawrence, et al.. (2012). Parallel classification and feature selection in microarray data using SPRINT. Concurrency and Computation Practice and Experience. 26(4). 854–865. 10 indexed citations
18.
Piotrowski, Markus, Ashley Lloyd, Thorsten Forster, et al.. (2012). Exploiting Parallel R in the Cloud with SPRINT. Methods of Information in Medicine. 52(1). 80–90. 2 indexed citations
19.
Neic, Aurel, Manfred Liebmann, Lawrence Mitchell, et al.. (2012). Accelerating Cardiac Bidomain Simulations Using Graphics Processing Units. IEEE Transactions on Biomedical Engineering. 59(8). 2281–2290. 43 indexed citations
20.
Niederer, Steven, Lawrence Mitchell, Nicolas P. Smith, & Gernot Plank. (2011). Simulating Human Cardiac Electrophysiology on Clinical Time-Scales. Frontiers in Physiology. 2. 14–14. 95 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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