Robert Ulichney

48 papers receiving 1.8k citations

Hit Papers

Digital Halftoning198720262000201319871987100200300400500

Peers

Robert Ulichney
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 1.3k
  • Atomic and Molecular Physics, and Optics 1.0k
  • Computer Graphics and Computer-Aided Design 424
  • Industrial and Manufacturing Engineering 216
  • Computational Mechanics 208
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Abhijeet Ghosh United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert Ulichney

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ulichney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Ulichney

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 3
5 2
6 9
7 3
8 10
9 4
10 21
11
Perceptual-based correction of photo red-eye.
4
12 1
13 73
14 1
15
The J300 Family of Video and Audio Adapters: Architecture and Hardware Design
3
16
Integrating Video Rendering into Graphics Accelerator Chips
2
17
Software-only Compression, Rendering, and Playback of Digital Video
9
18
Software motion pictures
5
19 145
20 9

About Robert Ulichney

Robert Ulichney is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Color Science and Applications (30 papers), Industrial Vision Systems and Defect Detection (15 papers) and Advanced Vision and Imaging (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (424 citations), Computer Vision and Pattern Recognition (1.3k citations) and Atomic and Molecular Physics, and Optics (1.0k citations). Robert Ulichney has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Daniel L. Lau, Gonzalo R. Arce, Jan P. Allebach, Doron Shaked, Xujie Zhang, D. Kella, Donald E. Troxel, John D. Owens, Ingeborg Tastl and Steven J. Simske. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Image Processing.

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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