David Wells

2.9k total citations
56 papers, 1.7k citations indexed

About

David Wells is a scholar working on Computational Mechanics, Ecology and Electrical and Electronic Engineering. According to data from OpenAlex, David Wells has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 15 papers in Ecology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in David Wells's work include Advanced Numerical Methods in Computational Mathematics (11 papers), Electromagnetic Simulation and Numerical Methods (9 papers) and Avian ecology and behavior (8 papers). David Wells is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (11 papers), Electromagnetic Simulation and Numerical Methods (9 papers) and Avian ecology and behavior (8 papers). David Wells collaborates with scholars based in United States, Germany and Italy. David Wells's co-authors include C. W. Gear, Bruno Turcksin, Matthias Maier, Martin Kronbichler, Wolfgang Bangerth, Luca Heltai, Daniel Arndt, Denis Davydov, Traian Iliescu and Jean‐Paul Pelteret and has published in prestigious journals such as Journal of Computational Physics, Physics Letters B and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

David Wells

50 papers receiving 1.6k 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 Wells United States 19 764 294 259 251 228 56 1.7k
Simon Tavener United States 21 979 1.3× 200 0.7× 160 0.6× 209 0.8× 130 0.6× 96 1.5k
August Johansson Norway 8 542 0.7× 345 1.2× 157 0.6× 225 0.9× 157 0.7× 15 1.5k
Luca Heltai Italy 20 1.0k 1.3× 450 1.5× 134 0.5× 243 1.0× 246 1.1× 67 1.8k
Chris Richardson United Kingdom 6 399 0.5× 281 1.0× 151 0.6× 180 0.7× 119 0.5× 17 1.4k
Frédéric Hecht France 11 1.2k 1.6× 542 1.8× 143 0.6× 614 2.4× 268 1.2× 33 2.5k
Jan Blechta Czechia 4 412 0.5× 289 1.0× 152 0.6× 178 0.7× 119 0.5× 7 1.3k
Johannes Ring Norway 3 397 0.5× 281 1.0× 151 0.6× 176 0.7× 118 0.5× 5 1.3k
Rüdiger Seydel Germany 12 272 0.4× 130 0.4× 282 1.1× 103 0.4× 297 1.3× 21 1.7k
John C. Strikwerda United States 17 1.1k 1.5× 190 0.6× 112 0.4× 216 0.9× 350 1.5× 48 2.3k
Martin Rumpf Germany 32 1.5k 1.9× 198 0.7× 93 0.4× 383 1.5× 65 0.3× 131 2.8k

Countries citing papers authored by David Wells

Since Specialization
Citations

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

Fields of papers citing papers by David Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Wells

This figure shows the co-authorship network connecting the top 25 collaborators of David Wells. A scholar is included among the top collaborators of David Wells 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 Wells. David Wells 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.
Arndt, Daniel, Marc Fehling, Luca Heltai, et al.. (2025). The deal.II library, version 9.7. Journal of Numerical Mathematics. 33(4). 403–415.
2.
Rossi, Símone, David Wells, Gregory M. Sturgeon, et al.. (2024). Simulating cardiac fluid dynamics in the human heart. PNAS Nexus. 3(10). pgae392–pgae392. 7 indexed citations
3.
Kolahdouz, Ebrahim M., David Wells, Simone Rossi, et al.. (2023). A sharp interface Lagrangian-Eulerian method for flexible-body fluid-structure interaction. Journal of Computational Physics. 488. 112174–112174. 7 indexed citations
4.
Wells, David, et al.. (2023). A nodal immersed finite element-finite difference method. Journal of Computational Physics. 477. 111890–111890. 6 indexed citations
5.
Lee, Jae Hoon, et al.. (2022). Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement. Annals of Biomedical Engineering. 51(1). 103–116. 16 indexed citations
6.
Arndt, Daniel, Wolfgang Bangerth, Bruno Blais, et al.. (2021). The deal.II library, Version 9.3. Journal of Numerical Mathematics. 29(3). 171–186. 100 indexed citations
7.
Arndt, Daniel, Wolfgang Bangerth, Denis Davydov, et al.. (2020). The deal.II finite element library: Design, features, and insights. Computers & Mathematics with Applications. 81. 407–422. 174 indexed citations
8.
Arndt, Daniel, Wolfgang Bangerth, Bruno Blais, et al.. (2020). The deal.II library, Version 9.2. Journal of Numerical Mathematics. 28(3). 131–146. 120 indexed citations
9.
Arndt, Daniel, Wolfgang Bangerth, Denis Davydov, et al.. (2018). The deal.II library, Version 9.0. Journal of Numerical Mathematics. 26(4). 173–183. 113 indexed citations
10.
Xie, Xuping, David Wells, Zhu Wang, & Traian Iliescu. (2017). Numerical analysis of the Leray reduced order model. Journal of Computational and Applied Mathematics. 328. 12–29. 27 indexed citations
11.
Morris, David, et al.. (2017). Teaching Computational Thinking and Coding in Primary Schools. 7 indexed citations
12.
Wells, David, Ruth Wells, & Catalina Lawsin. (2015). Understanding psychological responses to trauma among refugees: the importance of measurement validity in cross-cultural settings. Journal and proceedings of the Royal Society of New South Wales. 148(1). 60–69. 22 indexed citations
13.
Iliescu, Traian, et al.. (2013). A two-level finite element discretization of the streamfunction formulation of the stationary quasi-geostrophic equations of the ocean. Computers & Mathematics with Applications. 66(7). 1261–1271. 22 indexed citations
14.
Wells, David. (2012). Games and Mathematics: Subtle Connections. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
15.
Wells, David. (2011). Eyebrowed Thrushes Turdus obscurus in Bali. 4. 150. 1 indexed citations
16.
Wray, Stephanie, et al.. (2005). Design, installation, and monitoring of safe crossing points for bats on a new highway scheme in Wales. eScholarship (California Digital Library). 10 indexed citations
17.
Wells, David, E.C. Dickinson, & R.W.R.J. Dekker. (2003). Systematic notes on Asian birds. 36. A preliminary review of the Chloropseidae and Irenidae. Data Archiving and Networked Services (DANS). 344. 25–42. 3 indexed citations
18.
Wells, David, E.C. Dickinson, & R.W.R.J. Dekker. (2003). Systematic notes on Asian birds. 34. A preliminary review of the Aegithinidae. The Digital Academic Repository of Naturalis Biodiversity Center (Naturalis Biodiversity Center). 344. 7–15. 1 indexed citations
19.
Wells, David, et al.. (2001). Systematic notes on Asian birds. 21. Babbler jungle: a re-evaluation of the ‘pyrrogenys’ group of Asian pellorneines (Timaliidae). Data Archiving and Networked Services (DANS). 335. 235–254. 2 indexed citations
20.
Wells, David. (1986). The Penguin Dictionary of Curious and Interesting Numbers. Medical Entomology and Zoology. 87 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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