Abdullah Alsaeedi
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Human Factors and Ergonomics top 5%
Papers in
-
- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 5
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- Spam and Phishing Detection 10
- Software Engineering Research 3
- Co-authors
- Finlay A. McAlister (1 shared paper)Don D. Sin (1 shared paper)Mohammad Zubair (2 shared papers)Mohammed Al-Sarem (7 shared papers)Mohammad Zubair Khan (4 shared papers)Wadii Boulila (7 shared papers)Liyakathunisa Syed (3 shared papers)Saima Jabeen (2 shared papers)
- Journals
- Applied Sciences (5 papers)IEEE Access (4 papers)Electronics (3 papers)Sensors (1 paper)Symmetry (1 paper)
- Partner nations
- Saudi ArabiaTunisiaUnited Kingdom
In The Last Decade
Abdullah Alsaeedi
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Software 80
- Human Factors and Ergonomics 40
- Information Systems 301
- Health Informatics 18
- Artificial Intelligence 409
Countries citing papers authored by Abdullah Alsaeedi
This map shows the geographic impact of Abdullah Alsaeedi'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 Abdullah Alsaeedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Alsaeedi more than expected).
Fields of papers citing papers by Abdullah Alsaeedi
This network shows the impact of papers produced by Abdullah Alsaeedi. 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 Abdullah Alsaeedi. The network helps show where Abdullah Alsaeedi may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdullah Alsaeedi, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 243 | |
| 2 | 2019 | 156 | |
| 3 | 2019 | 122 | |
| 4 | 2019 | 88 | |
| 5 | 2021 | 53 | |
| 6 | 2020 | 52 | |
| 7 | 2019 | 49 | |
| 8 | 2020 | 44 | |
| 9 | 2021 | 44 | |
| 10 | 2020 | 42 | |
| 11 | 2022 | 38 | |
| 12 | 2019 | 38 | |
| 13 | 2020 | 34 | |
| 14 | 2022 | 28 | |
| 15 | 2016 | 25 | |
| 16 | 2024 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2023 | 11 |
About Abdullah Alsaeedi
Abdullah Alsaeedi is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spam and Phishing Detection (10 papers), Sentiment Analysis and Opinion Mining (6 papers), COVID-19 diagnosis using AI (5 papers), Text and Document Classification Technologies (5 papers), IoT and Edge/Fog Computing (5 papers), Advanced Malware Detection Techniques (5 papers), Misinformation and Its Impacts (5 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Software (80 citations), Human Factors and Ergonomics (40 citations), Information Systems (301 citations), Health Informatics (18 citations) and Artificial Intelligence (409 citations). Abdullah Alsaeedi has collaborated with scholars based in Saudi Arabia, Tunisia and United Kingdom. Frequent co-authors include Finlay A. McAlister, Don D. Sin, Mohammad Zubair, Mohammed Al-Sarem, Mohammad Zubair Khan, Wadii Boulila, Liyakathunisa Syed, Saima Jabeen, Faisal Saeed and Wael M. S. Yafooz. Their work appears in journals such as Applied Sciences, IEEE Access, Electronics, Sensors and Symmetry.
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.