Robert Buckley

642 citations
30 papers · 443 · h-index 9

Impact in

Papers in

Robert Buckley

27 papers receiving 374 citations

Peers

Robert Buckley
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 197
  • Computer Graphics and Computer-Aided Design 31
  • Media Technology 48
  • Signal Processing 60
  • Instrumentation 15
Replace Amihai Meiri with:
Amihai Meiri Israel
X H Fang China
Rolf‐Rainer Grigat Germany
Bhargab Das India
Denis Simakov Israel
V. Brajovic United States
Taeg Sang Cho United States
Daniel Vaquero United States
Barthélémy Heyrman France
Jeffrey M. DiCarlo United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert Buckley

Since Specialization
Citations

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

Fields of papers citing papers by Robert Buckley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999133
2 197190
3 199870
4 197327
5 198118
6 197317
7 199716
8 201613
9 20008
10 19748
11 19818
12 19996
13 20155
14
A New Metric for Color Halftone Visibility.
19983
15 19993
16
Using Lossy JPEG 2000 Compression For Archival Master Files
20133
17
Interpress, the source book
19883
18 20022
19 19942
20 20131

About Robert Buckley

Robert Buckley is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Social Psychology, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design, having authored 30 papers that have together received 443 indexed citations. Recurring topics across this work include Color Science and Applications (14 papers), Advanced Data Compression Techniques (9 papers), Image Retrieval and Classification Techniques (8 papers), Color perception and design (4 papers), Image and Signal Denoising Methods (4 papers), Computer Graphics and Visualization Techniques (4 papers), CCD and CMOS Imaging Sensors (3 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (197 citations), Computer Graphics and Computer-Aided Design (31 citations), Media Technology (48 citations), Signal Processing (60 citations) and Instrumentation (15 citations). Robert Buckley has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sabine Süsstrunk, Ming Xu, Ricardo L. de Queiroz, M.F. Tompsett, W.J. Bertram, J. C. Mikkelsen, G. F. Amelio, William F. Schreiber, Carlo H. Séquin and T. A. Shankoff. Their work appears in journals such as IEEE Transactions on Electron Devices, Color Research & Application, Computer Standards & Interfaces, Proceedings of the IEEE and OpenCommons - UConn (University of Connecticut).

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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