Amir Said

8.3k citations
111 papers · 5.6k indexed · 1 hit paper · h-index 22

Amir Said

103 papers receiving 5.1k citations

Hit Papers

A new, fast, and efficient image codec based on set parti...3.7k199620262006201610002.0k3.0k

Peers

Amir Said
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 5.1k
  • Signal Processing 2.3k
  • Media Technology 748
  • Computer Graphics and Computer-Aided Design 190
  • Artificial Intelligence 587
Replace William A. Pearlman with:
William A. Pearlman United States
Oscar C. Au Hong Kong
Marc Antonini France
J.M. Shapiro United States
Gregory K. Wallace United States
Athanassios Skodras Greece
H.S. Malvar United States
Fréderic Dufaux France
Arun N. Netravali United States
C. Christopoulos Sweden
Amir Said relative to William A. Pearlman United States William A. Pearlman's profile →
Citations per field
00.5×1.5×2.4×
William A. Pearlman · 1×
Citations per year

Countries citing papers authored by Amir Said

Since Specialization
Citations

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

Fields of papers citing papers by Amir Said

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20231
4 202114
5 201125
6
EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz
20103
7 2010169
8 20094
9 20096
10 200818
11 20074
12
Visual communications and image processing 2006 : 17-19 January, 2006, San Jose, California, USA
20061
13 20053
14 20053
15 20050
16 2004269
17 200310
18
Automatically Designed 3-D Environments for Intuitive Browsing and Discovery
20032
19 200242
20 1996438

About Amir Said

Amir Said is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 111 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (52 papers), Image and Signal Denoising Methods (26 papers), Video Coding and Compression Technologies (24 papers), Speech and Audio Processing (18 papers), Digital Filter Design and Implementation (18 papers), Algorithms and Data Compression (17 papers), Advanced Vision and Imaging (13 papers) and Advanced Image Processing Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.1k citations), Signal Processing (2.3k citations) and Media Technology (748 citations). Amir Said has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include William A. Pearlman, Ashraful Islam, Nithin Nagaraj, Ramin Samadani, Eduardo A. B. da Silva, Pere Obrador, André Luiz N. Targino da Costa, Debargha Mukherjee, Armando Ciancio and Marta Karczewicz. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Information Theory, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.

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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