Mohammed Kayed
Impact in
- Information Systems top 1%
- Web Data Mining and Analysis
- Spam and Phishing Detection
- Web visibility and informetrics
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
Papers in
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- Web Data Mining and Analysis 9
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- Anomaly Detection Techniques and Applications 4
- Topic Modeling 3
- Co-authors
- Chia‐Hui Chang (5 shared papers)Khaled Shaalan (2 shared papers)Moheb R. Girgis (2 shared papers)Alhassan Mabrouk (6 shared papers)Rebeca P. Dı́az Redondo (6 shared papers)Ahmed M. Anter (5 shared papers)Mohamed Abd Elaziz (4 shared papers)Abdelghani Dahou (3 shared papers)
- Journals
- Journal Of Big Data (2 papers)Applied Sciences (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Scientific Reports (2 papers)IEEE Access (1 paper)
- Partner nations
- EgyptUnited Arab EmiratesSpain
In The Last Decade
Mohammed Kayed
35 papers receiving 919 citations
Mohammed Kayed's Hit Papers
Peers
Comparison fields: 5 of 109
- Information Systems 514
- Artificial Intelligence 402
- Computer Networks and Communications 266
- Signal Processing 91
- Computer Vision and Pattern Recognition 132
Countries citing papers authored by Mohammed Kayed
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
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 25 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.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Web Information Extraction Systems Hit paper breakdown → | 2006 | 456 |
| 2 | 2022 | 99 | |
| 3 | 2020 | 79 | |
| 4 | 2009 | 70 | |
| 5 | 2022 | 43 | |
| 6 | 2020 | 40 | |
| 7 | 2022 | 29 | |
| 8 | 2020 | 24 | |
| 9 | 2022 | 24 | |
| 10 | 2023 | 23 | |
| 11 | 2023 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2023 | 10 | |
| 16 | 2007 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 4 |
About Mohammed Kayed
Mohammed Kayed is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (9 papers), Anomaly Detection Techniques and Applications (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Topic Modeling (3 papers), Energy Harvesting in Wireless Networks (3 papers), Caching and Content Delivery (3 papers), Face recognition and analysis (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Information Systems (514 citations), Artificial Intelligence (402 citations), Computer Networks and Communications (266 citations), Signal Processing (91 citations) and Computer Vision and Pattern Recognition (132 citations). Mohammed Kayed has collaborated with scholars based in Egypt, United Arab Emirates and Spain. Frequent co-authors include Chia‐Hui Chang, Khaled Shaalan, Moheb R. Girgis, 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 Journal Of Big Data, Applied Sciences, IEEE Transactions on Knowledge and Data Engineering, Scientific Reports and IEEE Access.
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.