Leland Jameson

797 total citations
20 papers, 602 citations indexed

About

Leland Jameson is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geophysics. According to data from OpenAlex, Leland Jameson has authored 20 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 6 papers in Geophysics. Recurrent topics in Leland Jameson's work include Image and Signal Denoising Methods (13 papers), Meteorological Phenomena and Simulations (6 papers) and Seismic Imaging and Inversion Techniques (6 papers). Leland Jameson is often cited by papers focused on Image and Signal Denoising Methods (13 papers), Meteorological Phenomena and Simulations (6 papers) and Seismic Imaging and Inversion Techniques (6 papers). Leland Jameson collaborates with scholars based in United States and Japan. Leland Jameson's co-authors include Gordon Erlebacher, M. Yousuff Hussaini, David Gottlieb, Wai Sun Don, Chi‐Wang Shu, Oleg Schilling, Toru Miyama, D. G. Lasseigne, T. L. Jackson and Takuji Waseda and has published in prestigious journals such as Journal of Computational Physics, Monthly Weather Review and SIAM Journal on Scientific Computing.

In The Last Decade

Leland Jameson

20 papers receiving 552 citations

Peers

Leland Jameson
Comparison fields: 5 of 75
  • Computational Mechanics 276
  • Computer Vision and Pattern Recognition 222
  • Geophysics 80
  • Atmospheric Science 65
  • Numerical Analysis 58
Replace Johnathan M. Bardsley with:
Johnathan M. Bardsley United States
Jacques Liandrat France
Armin Iske Germany
Claudio Estatico Italy
Gerd Teschke Germany
Thomas Sonar Germany
Hervé Carfantan France
Shingyu Leung Hong Kong
В. А. Морозов Russia
Margarete Oliveira Domingues Brazil
Johnathan M. Bardsley United States View profile →
Citations per field, relative to Leland Jameson
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Citations per year, relative to Leland Jameson
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Countries citing papers authored by Leland Jameson

Since Specialization
Citations

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

Fields of papers citing papers by Leland Jameson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leland Jameson

This figure shows the co-authorship network connecting the top 25 collaborators of Leland Jameson. A scholar is included among the top collaborators of Leland Jameson 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 Leland Jameson. Leland Jameson 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
1 105
2 2
3 39
4 3
5 13
6 5
7 18
8 18
9 12
10 24
11 90
12 18
13 13
14
Wavelets: theory and applications
135
15
WAVELET-BASED GRID GENERATION
6
16 17
17 14
18
ON THE WAVELET OPTIMIZED FINITE DIFFERENCE METHOD
29
19
ON THE DAUBECHIES-BASED WAVELET DIFFERENTIATION MATRIX
12
20 29

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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