M. Abdeen
Impact in
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- Text and Document Classification Technologies
- Topic Modeling
Papers in
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- Spam and Phishing Detection 5
- Web Data Mining and Analysis 4
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- Text and Document Classification Technologies 4
- Natural Language Processing Techniques 4
- Topic Modeling 4
- Co-authors
- Tarek Sheltami (11 shared papers)Ansar-Ul-Haque Yasar (3 shared papers)Irfan Ahmad (1 shared paper)M.C.E. Yagoub (9 shared papers)Toqeer Ali Syed (2 shared papers)Karim Emara (1 shared paper)Mustafa ElNainay (7 shared papers)Mohamed H. Ahmed (4 shared papers)
- Journals
- Applied Sciences (2 papers)Sensors (2 papers)Arabian Journal for Science and Engineering (1 paper)Electronics (1 paper)Personal and Ubiquitous Computing (1 paper)
- Partner nations
- Saudi ArabiaEgyptCanada
In The Last Decade
M. Abdeen
31 papers receiving 255 citations
Peers
Comparison fields: 5 of 59
- Transportation 19
- Artificial Intelligence 82
- Information Systems 55
- Computer Networks and Communications 55
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by M. Abdeen
This map shows the geographic impact of M. Abdeen'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 M. Abdeen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Abdeen more than expected).
Fields of papers citing papers by M. Abdeen
This network shows the impact of papers produced by M. Abdeen. 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 M. Abdeen. The network helps show where M. Abdeen may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Abdeen, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 2009 | 21 | |
| 3 | 2019 | 18 | |
| 4 | 2022 | 18 | |
| 5 | 2019 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2009 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2011 | 3 |
About M. Abdeen
M. Abdeen is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Transportation, having authored 36 papers that have together received 272 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (4 papers), Smart Parking Systems Research (4 papers), Transportation and Mobility Innovations (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Transportation (19 citations), Artificial Intelligence (82 citations), Information Systems (55 citations), Computer Networks and Communications (55 citations) and Computer Vision and Pattern Recognition (47 citations). M. Abdeen has collaborated with scholars based in Saudi Arabia, Egypt and Canada. Frequent co-authors include Tarek Sheltami, Ansar-Ul-Haque Yasar, Irfan Ahmad, M.C.E. Yagoub, Toqeer Ali Syed, Karim Emara, Mustafa ElNainay, Mohamed H. Ahmed, Sohail Khan and Mohamed Benaida. Their work appears in journals such as Applied Sciences, Sensors, Arabian Journal for Science and Engineering, Electronics and Personal and Ubiquitous Computing.
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.