David Kay

76 papers receiving 2.5k citations

David Kay's Hit Papers

Fourier spectral methods for fractional-in-space reaction-diffusion equations 2014 · 276 citations
2760+4+8Years since publication50100150200250

Peers

David Kay
Comparison fields: 5 of 133
  • Modeling and Simulation 534
  • Numerical Analysis 581
  • Computational Mechanics 846
  • Computational Theory and Mathematics 556
  • Cardiology and Cardiovascular Medicine 316
Replace Riccardo Sacco with:
Riccardo Sacco Italy
Ricardo Ruíz-Baier Chile
Wenrui Hao United States
Stefan Turek Germany
Fausto Saleri Italy
Marie E. Rognes Norway
Willi Jäger Germany
Ralph C. Smith United States
Béatrice Rivière United States
John N. Shadid United States
David Kay relative to Riccardo Sacco Italy Riccardo Sacco's profile →
Citations per field
00.5×4.8×
Riccardo Sacco · 1×
Citations per year

Countries citing papers authored by David Kay

Since Specialization
Citations

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

Fields of papers citing papers by David Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Kay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Kay Line = papers co-authored together David Kay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fourier spectral methods for fractional-in-space reaction-diffusion equations
Hit paper breakdown →
2014276
2 2012173
3 2002172
4 2014150
5 2001146
6 201598
7 200894
8 201288
9 201986
10 200581
11 201068
12 200964
13 200763
14 201559
15 199957
16 201950
17 201050
18 201547
19 200947
20 200943

About David Kay

David Kay is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (21 papers), Advanced Mathematical Modeling in Engineering (11 papers), Elasticity and Material Modeling (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Cardiovascular Function and Risk Factors (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Inhalation and Respiratory Drug Delivery (6 papers) and Numerical methods in engineering (6 papers). The work is most often cited by research in Modeling and Simulation (534 citations), Numerical Analysis (581 citations), Computational Mechanics (846 citations), Computational Theory and Mathematics (556 citations) and Cardiology and Cardiovascular Medicine (316 citations). David Kay has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kevin Burrage, Alfonso Bueno‐Orovio, Andrew J. Wathen, Richard Welford, David J. Silvester, Daniel Loghin, Nicholas Hale, Vanessa Styles, David Nordsletten and Rafel Bordas. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Computational Physics, International Journal for Numerical Methods in Biomedical Engineering, SIAM Journal on Applied Mathematics and PLoS Biology.

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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