Gary J. Sullivan

31.4k citations
106 papers · 22.3k indexed · 10 hit papers · h-index 39

Gary J. Sullivan

102 papers receiving 21.2k citations

Hit Papers

Developments ...260199820262007201610002.0k3.0k4.0k5.0k

Peers

Gary J. Sullivan
Comparison fields: 5 of 146
  • Signal Processing 17.0k
  • Computer Vision and Pattern Recognition 20.1k
  • Computer Graphics and Computer-Aided Design 379
  • Media Technology 947
  • Computer Networks and Communications 1.2k
Replace Thomas Wiegand with:
Thomas Wiegand Germany
Gisle Bjøntegaard United States
A. Murat Tekalp United States
Liang‐Gee Chen Taiwan
H.S. Malvar United States
Debin Zhao China
Philip A. Chou United States
Amir Said United States
Min Wu United States
Gene Cheung Japan
Gary J. Sullivan relative to Thomas Wiegand Germany Thomas Wiegand's profile →
Citations per field
00.5×1.6×
Thomas Wiegand · 1×
Citations per year

Countries citing papers authored by Gary J. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Gary J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary J. Sullivan. 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 Gary J. Sullivan. The network helps show where Gary J. Sullivan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Overview of the Versatile Video Coding (VVC) Standard and its Applicationsbreakdown →
2021922
2 202034
3 201938
4 2015128
5 2014114
6
High Efficiency Video Coding (HEVC)breakdown →
2014312
7 20130
8 200749
9 200721
10 200779
11 200373
12 200368
13
Using the Draft H.26L Video Coding Standard for Mobile applications
20017
14 199646
15 199521
16 1994266
17 1994198
18 199221
19 199126
20
Recognition of Proprietary Interests in Software in Korea: Programming for Comprehensive Reform
19871

About Gary J. Sullivan

Gary J. Sullivan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Family Practice, having authored 106 papers that have together received 22.3k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (61 papers), Advanced Data Compression Techniques (52 papers), Advanced Vision and Imaging (35 papers), Image and Video Quality Assessment (18 papers), Advanced Image Processing Techniques (9 papers), Image and Signal Denoising Methods (7 papers), Schizophrenia research and treatment (6 papers) and Image Enhancement Techniques (5 papers). The work is most often cited by research in Signal Processing (17.0k citations), Computer Vision and Pattern Recognition (20.1k citations) and Computer Graphics and Computer-Aided Design (379 citations). Gary J. Sullivan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas Wiegand, Jens-Rainer Ohm, Thomas Wiegand, Ajay Luthra, Woo-Jin Han, Gisle Bjøntegaard, Heiko Schwarz, F. Kossentini, Anthony Joch and Thiow Keng Tan. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Magazine, IEEE Transactions on Image Processing, Journal of Psychopharmacology and Proceedings of the IEEE.

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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