Mohammed Kayed

1.7k citations
39 papers · 985 · 1 hit paper · h-index 13

Impact in

Papers in

Mohammed Kayed

33 papers receiving 893 citations

Mohammed Kayed's Hit Papers

A Survey of Web Information Extraction Systems 2006 · 454 citations
4540+6+13Years since publication100200300400

Peers

Mohammed Kayed
Comparison fields: 5 of 110
  • Information Systems 512
  • Artificial Intelligence 395
  • Computer Networks and Communications 264
  • Signal Processing 90
  • Computer Vision and Pattern Recognition 130
Replace Tansel Özyer with:
Tansel Özyer Türkiye
Justin Zhan United States
Divakar Yadav India
Shikun Zhang China
Joe Tekli Lebanon
Richard Chbeir France
William Cheng‐Chung Chu Taiwan
Yanfang Ye United States
Jinan Fiaidhi Canada
Mohammed Kayed relative to Tansel Özyer Türkiye Tansel Özyer's profile →
Citations per field
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Tansel Özyer · 1×
Citations per year

Countries citing papers authored by Mohammed Kayed

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Kayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mohammed Kayed, 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 Kayed Line = papers co-authored together Mohammed Kayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey of Web Information Extraction Systems
Hit paper breakdown →
2006454
2 202296
3 202078
4 200970
5 202241
6 202038
7 202229
8 202223
9 202321
10 202021
11 202017
12 202316
13 202115
14 202111
15 20238
16 20077
17 20225
18 20204
19 20204
20 20214

About Mohammed Kayed

Mohammed Kayed is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 985 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (9 papers), Anomaly Detection Techniques and Applications (4 papers), COVID-19 diagnosis using AI (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Complex Network Analysis Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Information Systems (512 citations), Artificial Intelligence (395 citations), Computer Networks and Communications (264 citations), Signal Processing (90 citations) and Computer Vision and Pattern Recognition (130 citations). Mohammed Kayed has collaborated with scholars based in Egypt, United Arab Emirates and Spain. Frequent co-authors include Chia‐Hui Chang, Moheb R. Girgis, Khaled Shaalan, Alhassan Mabrouk, Rebeca P. Dı́az Redondo, Ahmed M. Anter, Mohamed Abd Elaziz, Abdelghani Dahou, Ahmed A. Elngar and Abdelmgeid A. Ali. Their work appears in journals such as Scientific Reports, Journal Of Big Data, IEEE Transactions on Knowledge and Data Engineering, International Journal of Engine Research and Network Computation in Neural Systems.

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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