Eric Saund

1.2k citations
46 papers · 967 · h-index 17

Impact in

Papers in

    • Image Retrieval and Classification Techniques 15
    • Advanced Image and Video Retrieval Techniques 10
    • Handwritten Text Recognition Techniques 7
    • Augmented Reality Applications 5
    • Image and Object Detection Techniques 5
    • Image Processing and 3D Reconstruction 4
    • Video Analysis and Summarization 4
    • Interactive and Immersive Displays 10

Eric Saund

46 papers receiving 869 citations

Peers

Eric Saund
Comparison fields: 5 of 76
  • Human-Computer Interaction 315
  • Computer Vision and Pattern Recognition 560
  • Architecture 21
  • Computer Graphics and Computer-Aided Design 45
  • Cognitive Neuroscience 172
Replace Jay W. Summet with:
Jay W. Summet United States
Dean Rubine United States
Thomas Baudel France
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Citations per field
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Citations per year

Countries citing papers authored by Eric Saund

Since Specialization
Citations

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

Fields of papers citing papers by Eric Saund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199486
2 199586
3 199969
4 200364
5 200362
6 200359
7 200957
8 198947
9 199043
10 199935
11 200534
12
Perceptual Organization as a Foundation for Intelfigent Sketch Editing
200234
13 199926
14
Applying the Multiple Cause Mixture Model to Text Categorization
199625
15 200220
16
The Digital Office: Overview
199818
17 199317
18 199214
19
Unsupervised Learning of Mixtures of Multiple Causes in Binary Data
199313
20 200313

About Eric Saund

Eric Saund is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Artificial Intelligence and Geometry and Topology, having authored 46 papers that have together received 967 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (10 papers), Interactive and Immersive Displays (10 papers), Handwritten Text Recognition Techniques (7 papers), Augmented Reality Applications (5 papers), Image and Object Detection Techniques (5 papers), Image Processing and 3D Reconstruction (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Human-Computer Interaction (315 citations), Computer Vision and Pattern Recognition (560 citations), Architecture (21 citations), Computer Graphics and Computer-Aided Design (45 citations) and Cognitive Neuroscience (172 citations). Eric Saund has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Edward Lank, Thomas P. Moran, James V. Mahoney, David J. Fleet, Daniel Larner, Jing Fung Lin, Kenneth P. Fishkin, William van Melle, Anuj U. Gujar and Beverly L. Harrison. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation, Computer Vision and Image Understanding, ACM Transactions on Graphics and Artificial Intelligence.

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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