Khalid Sayood

106 papers receiving 2.7k citations

Khalid Sayood's Hit Papers

Introduction to Data Compression 2017 · 357 citations
3570+3+6Years since publication100200300

Peers

Khalid Sayood
Comparison fields: 5 of 147
  • Molecular Medicine 262
  • Computer Vision and Pattern Recognition 1.0k
  • Signal Processing 459
  • Endocrinology 139
  • Artificial Intelligence 717
Replace Qingzhong Liu with:
Qingzhong Liu China
Giri Narasimhan United States
Balázs Kégl Canada
Christophe Guyeux France
Bernd Neumann Germany
Martin Tompa United States
Sabah Jassim United Kingdom
Pierluigi Crescenzi Italy
Tsutomu Maruyama Japan
Luis Vielva Spain
Khalid Sayood relative to Qingzhong Liu China Qingzhong Liu's profile →
Citations per field
00.5×2.7×
Qingzhong Liu · 1×
Citations per year

Countries citing papers authored by Khalid Sayood

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Sayood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Introduction to Data Compression
Hit paper breakdown →
2017357
2 2003234
3 2010178
4 1991177
5
Introduction to data compression (2nd ed.)
2000136
6 2014121
7
Introduction to Data Compression, Third Edition (Morgan Kaufmann Series in Multimedia Information and Systems)
200596
8 200085
9 201173
10 200972
11 201262
12 199561
13 200260
14 201154
15 199452
16 200750
17 201147
18 199447
19 200146
20 200744

About Khalid Sayood

Khalid Sayood is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing and Electrical and Electronic Engineering, having authored 116 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (58 papers), Algorithms and Data Compression (44 papers), Image and Signal Denoising Methods (16 papers), Advanced Wireless Communication Techniques (13 papers), Error Correcting Code Techniques (13 papers), Genomics and Phylogenetic Studies (9 papers), Video Coding and Compression Technologies (8 papers) and Blind Source Separation Techniques (7 papers). The work is most often cited by research in Molecular Medicine (262 citations), Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (459 citations), Endocrinology (139 citations) and Artificial Intelligence (717 citations). Khalid Sayood has collaborated with scholars based in United States, Türkiye and South Korea. Frequent co-authors include Hasan H. Otu, Jay Borkenhagen, Nasir Memon, Paul M. Dunman, Marci Hoffman, Anna C. Jacobs, Eric P. Skaar, Steven H. Hinrichs, Özkan Ufuk Nalbantoğlu and Jerry D. Gibson. Their work appears in journals such as IEEE Transactions on Communications, BMC Bioinformatics, IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing 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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