S.S. Hemami

8.7k citations
126 papers · 5.9k indexed · 2 hit papers · h-index 27

S.S. Hemami

121 papers receiving 5.6k citations

Hit Papers

Frequency-tuned salient region detection2.9k200720262013201950010001.5k2.0k2.5k

Peers

S.S. Hemami
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 5.5k
  • Sensory Systems 791
  • Media Technology 1.2k
  • Signal Processing 668
  • Human-Computer Interaction 288
Replace King Ngi Ngan with:
King Ngi Ngan Hong Kong
Yuming Fang China
Patrick Le Callet France
Jianjun Lei China
Yael Pritch United States
Ali Borji United States
Olivier Le Meur France
Hongliang Li China
Deepu Rajan Singapore
S.S. Hemami relative to King Ngi Ngan Hong Kong King Ngi Ngan's profile →
Citations per field
00.5×
King Ngi Ngan · 1×
Citations per year

Countries citing papers authored by S.S. Hemami

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Hemami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202129
2 201116
3 201116
4 20079
5 20074
6 20076
7 200555
8 20055
9 200319
10 200353
11 200334
12 20038
13 200354
14 20020
15 20027
16 200137
17 199745
18
Edge-adaptive JPEG image compression
19964
19 19964
20 199584

About S.S. Hemami

S.S. Hemami is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 126 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (60 papers), Image and Signal Denoising Methods (49 papers), Image and Video Quality Assessment (35 papers), Video Coding and Compression Technologies (32 papers), Advanced Image Processing Techniques (26 papers), Image Enhancement Techniques (18 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Sensory Systems (791 citations) and Media Technology (1.2k citations). S.S. Hemami has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Sabine Süsstrunk, Radhakrishna Achanta, Francisco Estrada, Damon M. Chandler, David Rouse, M. Masry, Chao Tian, Amy R. Reibman, Yan Yang and Robert M. Gray. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication, Journal of the Optical Society of America A and IEEE Transactions on Information Theory.

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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