Jeremy E. Kozdon

1.7k total citations
32 papers, 939 citations indexed

About

Jeremy E. Kozdon is a scholar working on Computational Mechanics, Numerical Analysis and Geophysics. According to data from OpenAlex, Jeremy E. Kozdon has authored 32 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 10 papers in Numerical Analysis and 9 papers in Geophysics. Recurrent topics in Jeremy E. Kozdon's work include Advanced Numerical Methods in Computational Mathematics (15 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and earthquake and tectonic studies (9 papers). Jeremy E. Kozdon is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (15 papers), Computational Fluid Dynamics and Aerodynamics (12 papers) and earthquake and tectonic studies (9 papers). Jeremy E. Kozdon collaborates with scholars based in United States, Sweden and Netherlands. Jeremy E. Kozdon's co-authors include Eric M. Dunham, Cong Lin, Dave Belanger, Jan Nordström, Lucas C. Wilcox, Bradley Mallison, Margot Gerritsen, Melvin R. Scott, Beny Neta and Changbum Chun and has published in prestigious journals such as Earth and Planetary Science Letters, Journal of Computational Physics and Geophysical Journal International.

In The Last Decade

Jeremy E. Kozdon

31 papers receiving 907 citations

Peers

Jeremy E. Kozdon
Comparison fields: 5 of 51
  • Geophysics 626
  • Computational Mechanics 213
  • Numerical Analysis 86
  • Civil and Structural Engineering 80
  • Artificial Intelligence 75
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Citations per field, relative to Jeremy E. Kozdon
Jeremy E. Kozdon · 1×
Citations per year, relative to Jeremy E. Kozdon
Jeremy E. Kozdon · 1×

Countries citing papers authored by Jeremy E. Kozdon

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy E. Kozdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy E. Kozdon. 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 Jeremy E. Kozdon. The network helps show where Jeremy E. Kozdon may publish in the future.

Co-authorship network of co-authors of Jeremy E. Kozdon

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy E. Kozdon. A scholar is included among the top collaborators of Jeremy E. Kozdon 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 Jeremy E. Kozdon. Jeremy E. Kozdon 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
# Work Indexed citations
1 0
2 8
3 3
4 14
5 2
6 4
7 11
8 13
9
Boundary waves and stability of perfectly matched layers II : Extensions to first order systems and numerical stability
1
10 110
11 77
12
Rupture to the Trench in Dynamic Models of the Tohoku-Oki Earthquake
2
13
Rupture Dynamics of Subduction Megathrust Earthquakes
1
14 200
15 10
16 17
17
High-Order Treatment of Fault Boundary Conditions Using Summation-By-Parts Finite Difference Methods
1
18
NUMERICAL METHODS WITH REDUCED GRID DEPENDENCY FOR ENHANCED OIL RECOVERY
1
19 5
20 15

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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