Eric Saund

1.2k citations
42 papers · 803 · h-index 16

Impact in

Papers in

    • Image Retrieval and Classification Techniques 12
    • Advanced Image and Video Retrieval Techniques 9
    • Augmented Reality Applications 6
    • Handwritten Text Recognition Techniques 5
    • Medical Image Segmentation Techniques 4
    • Image and Object Detection Techniques 4
    • Image Processing and 3D Reconstruction 3

Eric Saund

42 papers receiving 716 citations

Peers

Eric Saund
Comparison fields: 5 of 77
  • Human-Computer Interaction 268
  • Computer Vision and Pattern Recognition 443
  • Computer Graphics and Computer-Aided Design 41
  • Cognitive Neuroscience 155
  • Architecture 12
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Citations per field
00.5×11×
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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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199576
2 199474
3 199963
4 200357
5 200353
6 200352
7 200944
8 199036
9 198935
10 199931
11 200531
12
Perceptual Organization as a Foundation for Intelfigent Sketch Editing
200228
13
Applying the Multiple Cause Mixture Model to Text Categorization
199621
14 200218
15
The Digital Office: Overview
199816
16
Abstraction and representation of continuous variables in connectionist networks
198615
17 199314
18 199213
19 200312
20
Unsupervised Learning of Mixtures of Multiple Causes in Binary Data
199311

About Eric Saund

Eric Saund is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Cognitive Neuroscience and Geometry and Topology, having authored 42 papers that have together received 803 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Interactive and Immersive Displays (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Augmented Reality Applications (6 papers), Handwritten Text Recognition Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Image and Object Detection Techniques (4 papers) and Image Processing and 3D Reconstruction (3 papers). The work is most often cited by research in Human-Computer Interaction (268 citations), Computer Vision and Pattern Recognition (443 citations), Computer Graphics and Computer-Aided Design (41 citations), Cognitive Neuroscience (155 citations) and Architecture (12 citations). Eric Saund has collaborated with scholars based in United States and China. Frequent co-authors include Thomas P. Moran, Edward Lank, David J. Fleet, James Mahoney, Daniel Larner, Jing Lin, William van Melle, Beverly L. Harrison, Anuj Gujar and Kenneth P. Fishkin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation, Computer Vision and Image Understanding, Artificial Intelligence and ACM Transactions on Graphics.

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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