Don E. Pearson

1.6k citations
49 papers · 1.3k · h-index 18

Impact in

Papers in

    • Advanced Data Compression Techniques 20
    • Advanced Vision and Imaging 10
    • Image and Signal Denoising Methods 9
    • Image and Video Quality Assessment 8
    • Advanced Image Processing Techniques 5
    • Advanced Image and Video Retrieval Techniques 4
    • Video Coding and Compression Technologies 11

Don E. Pearson

44 papers receiving 1.1k citations

Peers

Don E. Pearson
Comparison fields: 5 of 105
  • Human-Computer Interaction 391
  • Computer Vision and Pattern Recognition 753
  • Signal Processing 228
  • Computer Graphics and Computer-Aided Design 56
  • Media Technology 114
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Andrew Perkis Norway
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Citations per field
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Citations per year

Countries citing papers authored by Don E. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Don E. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000214
2 1999192
3 1985128
4 199594
5
Transmission and Display of Pictorial Information
197586
6 199862
7 199243
8 199835
9 201435
10 196333
11 198431
12 199329
13 199429
14 198427
15 198127
16 199021
17
Computer Generated Cartoons
199020
18 199818
19 199816
20 198813

About Don E. Pearson

Don E. Pearson is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Media Technology and Cognitive Neuroscience, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (20 papers), Video Coding and Compression Technologies (11 papers), Advanced Vision and Imaging (10 papers), Image and Signal Denoising Methods (9 papers), Image and Video Quality Assessment (8 papers), Advanced Image Processing Techniques (5 papers), Color Science and Applications (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Human-Computer Interaction (391 citations), Computer Vision and Pattern Recognition (753 citations), Signal Processing (228 citations), Computer Graphics and Computer-Aided Design (56 citations) and Media Technology (114 citations). Don E. Pearson has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Jonathan Freeman, Wijnand A. IJsselsteijn, Steve E. Avons, John A. Robinson, Mohammad Ghanbari, Ray Meddis, Vassilis E. Seferidis, Rebecca L. Barnett, Colin Cherry and Kirk Martinez. Their work appears in journals such as Electronics Letters, Proceedings of the IEEE, PRESENCE Virtual and Augmented Reality, Signal Processing Image Communication and PLoS ONE.

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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