Mohammed S. Sayed

1.4k citations
106 papers · 1.0k · 1 hit paper · h-index 16

Impact in

Papers in

Mohammed S. Sayed

100 papers receiving 970 citations

Mohammed S. Sayed's Hit Papers

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions 2023 · 128 citations
1280+1+2Years since publication4080120

Peers

Mohammed S. Sayed
Comparison fields: 5 of 113
  • Signal Processing 196
  • Computer Vision and Pattern Recognition 363
  • Industrial and Manufacturing Engineering 161
  • Health Informatics 14
  • Artificial Intelligence 215
Replace Zhaohui Cai with:
Zhaohui Cai China
Kebo Fu China
Abdullah Alqahtani Saudi Arabia
Filbert H. Juwono Malaysia
Hongxu Yin United States
Piotr Porwik Poland
Daw-Tung Lin Taiwan
Fatemeh Daneshfar Iran
Mahdi Hashemzadeh Iran
Takuro Sato Japan
Mohammed S. Sayed relative to Zhaohui Cai China Zhaohui Cai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed S. Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed S. Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions
Hit paper breakdown →
2023128
2 202070
3 201660
4 202339
5 202432
6 201830
7 201828
8 201428
9 202227
10 201424
11 201624
12 201822
13 201920
14 201920
15 201318
16 201817
17 201916
18 201616
19 201616
20 201515

About Mohammed S. Sayed

Mohammed S. Sayed is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 106 papers that have together received 1.0k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (41 papers), Advanced Data Compression Techniques (27 papers), Advanced Vision and Imaging (25 papers), Image and Video Quality Assessment (9 papers), AI in cancer detection (9 papers), Industrial Vision Systems and Defect Detection (7 papers), Wireless Body Area Networks (7 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Signal Processing (196 citations), Computer Vision and Pattern Recognition (363 citations), Industrial and Manufacturing Engineering (161 citations), Health Informatics (14 citations) and Artificial Intelligence (215 citations). Mohammed S. Sayed has collaborated with scholars based in Egypt, Canada and Japan. Frequent co-authors include Ahmed Shalaby, Wael Maged Badawy, Mahmoud I. Abdalla, Rania A. Elsayed, Mohsen Rashwan, Omar M. Saad, Abdelhamied Ashraf Ateya, Mohamed Adel Hammad, Paweł Pławiak and Ahmed A. Abd El‐Latif. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, IEEE Transactions on Circuits and Systems for Video Technology, Wireless Personal Communications and BioData Mining.

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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