Damon M. Chandler

6.3k citations
87 papers · 4.7k indexed · 3 hit papers · h-index 27

Damon M. Chandler

82 papers receiving 4.5k citations

Hit Papers

Seven Challenges in Image Quality Assessment: Past, Prese...30920072026201320194008001.2k

Peers

Damon M. Chandler
Comparison fields: 5 of 103
  • Media Technology 2.1k
  • Computer Vision and Pattern Recognition 4.3k
  • Signal Processing 249
  • Cognitive Neuroscience 349
  • Atomic and Molecular Physics, and Optics 543
Replace Jinjian Wu with:
Jinjian Wu China
Leida Li China
Kede Ma Hong Kong
Rafał Mantiuk United Kingdom
Christophe Charrier France
S.S. Hemami United States
Manish Narwaria France
Muhammad Farooq Sabir United States
Nikolay Ponomarenko Ukraine
Damon M. Chandler relative to Jinjian Wu China Jinjian Wu's profile →
Citations per field
00.5×3.6×
Jinjian Wu · 1×
Citations per year

Countries citing papers authored by Damon M. Chandler

Since Specialization
Citations

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

Fields of papers citing papers by Damon M. Chandler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damon M. Chandler. 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 Damon M. Chandler. The network helps show where Damon M. Chandler may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20242
4 20230
5 20230
6 20230
7 201724
8 201441
9 201412
10 201420
11
Video quality assessment based on motion dissimilarity
20132
12 201111
13 2011287
14 2011134
15 20081
16 200743
17 200661
18 200555
19 20059
20 200353

About Damon M. Chandler

Damon M. Chandler is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Sensory Systems, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (41 papers), Image Enhancement Techniques (33 papers), Advanced Image Processing Techniques (27 papers), Image and Signal Denoising Methods (25 papers), Advanced Image Fusion Techniques (18 papers), Visual perception and processing mechanisms (17 papers), Visual Attention and Saliency Detection (16 papers) and Color Science and Applications (15 papers). The work is most often cited by research in Media Technology (2.1k citations), Computer Vision and Pattern Recognition (4.3k citations), Signal Processing (249 citations), Cognitive Neuroscience (349 citations) and Atomic and Molecular Physics, and Optics (543 citations). Damon M. Chandler has collaborated with scholars based in United States, Japan and China. Frequent co-authors include S.S. Hemami, Phong V. Vu, Thuong‐Cang Phan, Yi Zhang, S. Alireza Golestaneh, Eric C. Larson, Yi Zhang, David J. Field, David Field and Yi Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Vision, Signal Processing Image Communication, Journal of the Optical Society of America A and IEEE Signal Processing Letters.

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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