David A. Ham

1.4k total citations
53 papers, 784 citations indexed

About

David A. Ham is a scholar working on Computational Mechanics, Oceanography and Atmospheric Science. According to data from OpenAlex, David A. Ham has authored 53 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 9 papers in Oceanography and 9 papers in Atmospheric Science. Recurrent topics in David A. Ham's work include Advanced Numerical Methods in Computational Mathematics (12 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Meteorological Phenomena and Simulations (6 papers). David A. Ham is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (12 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Meteorological Phenomena and Simulations (6 papers). David A. Ham collaborates with scholars based in United Kingdom, United States and Norway. David A. Ham's co-authors include Colin J. Cotter, Christopher C. Pain, Lawrence Mitchell, Paul H. J. Kelly, Matthew D. Piggott, Julie D. Pietrzak, Guus S. Stelling, Stephan C. Kramer, Tuomas Kärnä and António M. Baptista and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Journal of Computational Physics.

In The Last Decade

David A. Ham

50 papers receiving 760 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 A. Ham United Kingdom 18 378 175 153 83 82 53 784
José E. Castillo United States 18 342 0.9× 63 0.4× 97 0.6× 137 1.7× 198 2.4× 91 1.0k
Lawrence Mitchell United Kingdom 12 201 0.5× 57 0.3× 49 0.3× 75 0.9× 22 0.3× 42 529
Seizo Tanaka Japan 11 109 0.3× 139 0.8× 79 0.5× 27 0.3× 50 0.6× 39 433
Jörn Behrens Germany 17 267 0.7× 225 1.3× 115 0.8× 24 0.3× 300 3.7× 55 764
A. Umpleby United Kingdom 16 314 0.8× 129 0.7× 108 0.7× 22 0.3× 595 7.3× 53 1.2k
Donna Calhoun United States 9 376 1.0× 88 0.5× 17 0.1× 44 0.5× 42 0.5× 23 786
Carlo Janna Italy 17 247 0.7× 41 0.2× 17 0.1× 343 4.1× 197 2.4× 73 976
Ronald D. Haynes Canada 13 109 0.3× 61 0.3× 89 0.6× 104 1.3× 15 0.2× 47 796
Steven F. Ashby United States 12 275 0.7× 67 0.4× 22 0.1× 314 3.8× 30 0.4× 18 818
Jacques Middlecoff United States 12 245 0.6× 297 1.7× 69 0.5× 10 0.1× 33 0.4× 18 751

Countries citing papers authored by David A. Ham

Since Specialization
Citations

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

Fields of papers citing papers by David A. Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Ham

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Ham. A scholar is included among the top collaborators of David A. Ham 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 A. Ham. David A. Ham 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.
Maddison, James R., et al.. (2024). checkpoint_schedules: schedules for incrementalcheckpointing of adjoint simulations. The Journal of Open Source Software. 9(95). 6148–6148. 1 indexed citations
2.
Shapero, Daniel, et al.. (2024). Consistent point data assimilation in Firedrake and Icepack. Geoscientific model development. 17(13). 5369–5386. 1 indexed citations
3.
Nadle, Joelle, Susan M. Ray, Ruth Lynfield, et al.. (2022). Increases in methicillin-sensitive Staphylococcus aureus bloodstream infection incidence, 2016–2019. SHILAP Revista de lepidopterología. 2(S1). s63–s64.
4.
Soda, Elizabeth, et al.. (2022). Predicting the regional impact of interventions to prevent and contain multidrug-resistant organisms. SHILAP Revista de lepidopterología. 2(S1). s13–s14.
5.
Ham, David A., et al.. (2021). Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling. Computer-Aided Design. 145. 103187–103187. 2 indexed citations
6.
Kramer, Stephan C., et al.. (2020). Goal-oriented error estimation and mesh adaptation for shallow water modelling. SN Applied Sciences. 2(6). 9 indexed citations
7.
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
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.
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
10.
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
11.
Luporini, Fabio, et al.. (2016). COFFEE: A Compiler for Fast Expression Evaluation. Zenodo (CERN European Organization for Nuclear Research). 6 indexed citations
12.
Ford, Rupert, David A. Ham, M. P. Hobson, et al.. (2014). Towards Performance Portability with GungHo. EGUGA. 13243. 2 indexed citations
13.
Hill, Jon, Ekaterina Popova, David A. Ham, Matthew D. Piggott, & Meric Srokosz. (2014). Adapting to life: ocean biogeochemical modelling and adaptive remeshing. Ocean science. 10(3). 323–343. 2 indexed citations
14.
Rognes, Marie E., David A. Ham, Colin J. Cotter, & Andrew T. T. McRae. (2013). Automating the solution of PDEs on the sphere and other manifolds in FEniCS 1.2. Geoscientific model development. 6(6). 2099–2119. 29 indexed citations
15.
Du, Jia, F. Fang, Christopher C. Pain, et al.. (2012). POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow. Computers & Mathematics with Applications. 65(3). 362–379. 51 indexed citations
16.
Farrell, Patrick E., et al.. (2011). Automated continuous verification for numerical simulation. Geoscientific model development. 4(2). 435–449. 22 indexed citations
17.
Ham, David A., Patrick E. Farrell, Gerard Gorman, et al.. (2009). Spud 1.0: generalising and automating the user interfaces of scientific computer models. Geoscientific model development. 2(1). 33–42. 15 indexed citations
18.
Ham, David A., et al.. (2007). Managing Workplace Stress: Psychosocial Hazard Risk Profiles in Public and Private Sector Australia. Faculty of Health. 2 indexed citations
19.
Ham, David A.. (2006). On techniques for modelling coastal and ocean flow with unstructured meshes. Research Repository (Delft University of Technology). 4 indexed citations
20.
Ham, David A., Julie D. Pietrzak, & Guus S. Stelling. (2005). A streamline tracking algorithm for semi-Lagrangian advection schemes based on the analytic integration of the velocity field. Journal of Computational and Applied Mathematics. 192(1). 168–174. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by José E. Castillo Breakdown of academic impact, for papers by Lawrence Mitchell Breakdown of academic impact, for papers by Seizo Tanaka Breakdown of academic impact, for papers by Jörn Behrens Breakdown of academic impact, for papers by A. Umpleby Breakdown of academic impact, for papers by Donna Calhoun Breakdown of academic impact, for papers by Carlo Janna Breakdown of academic impact, for papers by Ronald D. Haynes Breakdown of academic impact, for papers by Steven F. Ashby Breakdown of academic impact, for papers by Jacques Middlecoff
Rankless by CCL
2026