J.A. Stuller

540 citations
32 papers · 429 · h-index 12

Impact in

Papers in

    • Image and Signal Denoising Methods 9
    • Advanced Vision and Imaging 6
    • Advanced Data Compression Techniques 5
    • Medical Image Segmentation Techniques 3
    • Speech and Audio Processing 6
    • Blind Source Separation Techniques 5
    • Digital Filter Design and Implementation 4

J.A. Stuller

32 papers receiving 381 citations

Peers

J.A. Stuller
Comparison fields: 5 of 55
  • Signal Processing 124
  • Computer Vision and Pattern Recognition 208
  • Computational Mechanics 68
  • Media Technology 24
  • Biomedical Engineering 111
Replace W.H. Holmes with:
W.H. Holmes Australia
P. Papamichalis United States
Richard M. Dansereau Canada
R.R. Gharieb Egypt
Jong‐Wha Chong South Korea
S. Qian United States
A. Bateman United Kingdom
Hassan Rabah France
S. Mahmoud Canada
Charles M. Loeffler United States
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Citations per field
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Citations per year

Countries citing papers authored by J.A. Stuller

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Stuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Stuller. 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 J.A. Stuller. The network helps show where J.A. Stuller may publish in the future.

Co-authors

The 8 scholars most cited alongside J.A. Stuller, 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 J.A. Stuller Line = papers co-authored together J.A. Stuller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977106
2 198734
3 197933
4 197930
5 198030
6 197524
7 198322
8 197221
9 197619
10 198713
11 199113
12 199711
13 199410
14 19719
15 19797
16 19826
17 19796
18 19775
19 19845
20 19984

About J.A. Stuller

J.A. Stuller is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Artificial Intelligence and Civil and Structural Engineering, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Advanced Adaptive Filtering Techniques (7 papers), Advanced Vision and Imaging (6 papers), Speech and Audio Processing (6 papers), Blind Source Separation Techniques (5 papers), Advanced Data Compression Techniques (5 papers), Digital Filter Design and Implementation (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Signal Processing (124 citations), Computer Vision and Pattern Recognition (208 citations), Computational Mechanics (68 citations), Media Technology (24 citations) and Biomedical Engineering (111 citations). J.A. Stuller has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Arun N. Netravali, Robert N. Scott, P.A. Parker, J. D. Robbins, N.F. Maxemchuk, Mohammad Reza Namazi, H. Naseri and Daniel Graupe. Their work appears in journals such as IEEE Transactions on Signal Processing, Proceedings of the IEEE, IEEE Transactions on Information Theory, IEEE Communications Magazine and IEEE Transactions on Computers.

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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