Eric Saund

1.2k total citations
42 papers, 803 citations indexed

About

Eric Saund is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Eric Saund has authored 42 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Human-Computer Interaction. Recurrent topics in Eric Saund's work include Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Interactive and Immersive Displays (9 papers). Eric Saund is often cited by papers focused on Image Retrieval and Classification Techniques (12 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Interactive and Immersive Displays (9 papers). Eric Saund collaborates with scholars based in United States and China. Eric Saund's co-authors include Thomas P. Moran, Edward Lank, James Mahoney, David J. Fleet, Daniel Larner, Jing Lin, William van Melle, Beverly L. Harrison, Anuj Gujar and Kenneth P. Fishkin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Artificial Intelligence.

In The Last Decade

Eric Saund

42 papers receiving 716 citations

Peers

Eric Saund

CVPR

HI

AI

CN

SP

Emmanuel Pietriga France

Lucas Bordeaux United Kingdom

Georgios Th. Papadopoulos Greece

Clifford Beshers United States

Antonio Gentile Italy

Tack‐Don Han South Korea

Gregory J. Wolff United States

Michael Shilman United States

Md. Al-Amin Bhuiyan Bangladesh

Dzulkifli Mohamad Malaysia

Emmanuel Pietriga France

Eric Saund

591 ×1.3

CVPR

261 ×1.0

HI

195 ×1.1

AI

148 ×1.0

CN

148 ×2.6

SP

Citations per year, relative to Eric Saund Eric Saund (= 1×) peers Emmanuel Pietriga

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-authorship network of co-authors of Eric Saund

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Saund. A scholar is included among the top collaborators of Eric Saund 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 Eric Saund. Eric Saund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Saund, Eric & Daniel Friedman. (2023). A single-pheromone model accounts for empirical patterns of ant colony foraging previously modeled using two pheromones. Cognitive Systems Research. 80. 81–89. 2 indexed citations

2.

Saha, Bhaskar, Tomonori Honda, Ion Matei, et al.. (2014). A Model-Based Approach for an Optimal Maintenance Strategy. PHM Society European Conference. 2(1). 7 indexed citations

3.

Saund, Eric. (2013). A Graph Lattice Approach to Maintaining and Learning Dense Collections of Subgraphs as Image Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(10). 2323–2339. 4 indexed citations

4.

Saund, Eric. (2010). Scientific challenges underlying production document processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7874. 787402–787402. 6 indexed citations

5.

Saund, Eric, et al.. (2009). Classifying Foreground Pixels in Document Images. 641–645. 5 indexed citations

6.

Saund, Eric, et al.. (2009). PixLabeler: User Interface for Pixel-Level Labeling of Elements in Document Images. 646–650. 44 indexed citations

7.

Panne, Michiel van de, Eric Saund, & Joaquim Jorge. (2008). Sketch-Based Interfaces and Modeling 2007. 1 indexed citations

8.

Saund, Eric. (2006). Capturing The Information Conveyed By Opponents' Betting Behavior in Poker. 126–133. 4 indexed citations

9.

Saund, Eric. (2005). Logic and MRF Circuitry for Labeling Occluding and Thinline Visual Contours. Neural Information Processing Systems. 18. 1153–1159. 5 indexed citations

10.

Saund, Eric, David J. Fleet, Daniel Larner, & James Mahoney. (2004). Perceptually-supported image editing of text and graphics. 728–728. 4 indexed citations

11.

Saund, Eric, David J. Fleet, Daniel Larner, & James Mahoney. (2004). Perceptually-supported image editing of text and graphics. ACM Transactions on Graphics. 23(3). 728–728. 11 indexed citations

12.

Saund, Eric. (2003). Adding scale to the primal sketch. 70–78. 1 indexed citations

13.

Saund, Eric. (2003). Labeling of curvilinear structure across scales by token grouping. 257–263. 12 indexed citations

14.

Moran, Thomas P., Eric Saund, William van Melle, et al.. (1999). The ins and outs of collaborative walls. 192–192. 5 indexed citations

15.

Sahami, Mehran, Marti A. Hearst, & Eric Saund. (1996). Applying the Multiple Cause Mixture Model to Text Categorization. International Conference on Machine Learning. 435–443. 21 indexed citations

16.

Saund, Eric. (1993). Unsupervised Learning of Mixtures of Multiple Causes in Binary Data. Neural Information Processing Systems. 6. 27–34. 11 indexed citations

17.

Saund, Eric. (1993). Identifying Salient Circular Arcs on Curves. Computer Vision and Image Understanding. 58(3). 327–337. 8 indexed citations

18.

Saund, Eric. (1992). Putting knowledge into a visual shape representation. Artificial Intelligence. 54(1-2). 71–119. 13 indexed citations

19.

Saund, Eric. (1990). Distributed Symbolic Representation of Visual Shape. Neural Computation. 2(2). 138–151. 4 indexed citations

20.

Saund, Eric. (1986). Abstraction and representation of continuous variables in connectionist networks. National Conference on Artificial Intelligence. 638–644. 15 indexed citations

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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