Jesse Chan

1.5k citations
60 papers · 915 indexed · h-index 19

Jesse Chan

57 papers receiving 863 citations

Peers

Jesse Chan
Comparison fields: 5 of 92
  • Computational Mechanics 661
  • Numerical Analysis 154
  • Statistical and Nonlinear Physics 125
  • Applied Mathematics 82
  • Computational Theory and Mathematics 98
Replace Bo‐nan Jiang with:
Bo‐nan Jiang United States
C. Michler United Kingdom
Johan Hoffman Sweden
Jürgen Geiser Germany
Bodo Erdmann Germany
Koen Hillewaert Belgium
Harold Atkins United States
H. van der Ven Netherlands
Lorenzo Botti Italy
Farzin Shakib United States
Jesse Chan relative to Bo‐nan Jiang United States Bo‐nan Jiang's profile →
Citations per field
00.5×12.3×
Bo‐nan Jiang · 1×
Citations per year

Countries citing papers authored by Jesse Chan

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jesse Chan, 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 Jesse Chan Line = papers co-authored together Jesse Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20240
5 202311
6 20235
7 20232
8 20229
9 20213
10 20209
11 201818
12 20178
13 201711
14
A short note on the penalty flux parameter for first order discontinuous Galerkin formulations
20161
15 201615
16 201428
17 201417
18 200224
19 20023
20 200212

About Jesse Chan

Jesse Chan is a scholar working on Computational Mechanics, Numerical Analysis, Statistical and Nonlinear Physics, Orthopedics and Sports Medicine and Computational Theory and Mathematics, having authored 60 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (32 papers), Computational Fluid Dynamics and Aerodynamics (25 papers), Fluid Dynamics and Turbulent Flows (11 papers), Electromagnetic Simulation and Numerical Methods (8 papers), Numerical methods in engineering (7 papers), Electromagnetic Scattering and Analysis (6 papers), Advanced Mathematical Modeling in Engineering (6 papers) and Model Reduction and Neural Networks (6 papers). The work is most often cited by research in Computational Mechanics (661 citations), Numerical Analysis (154 citations), Statistical and Nonlinear Physics (125 citations), Applied Mathematics (82 citations) and Computational Theory and Mathematics (98 citations). Jesse Chan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Tim Warburton, Leszek Demkowicz, John A. Evans, David C. Del Rey Fernández, Mark H. Carpenter, Axel Modave, Lucas C. Wilcox, Norbert Heuer, Tan Bui–Thanh and Russell J. Hewett. Their work appears in journals such as Journal of Computational Physics, Computers & Mathematics with Applications, SIAM Journal on Scientific Computing, Journal of Scientific Computing and Annals of the Rheumatic Diseases.

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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