Ayman Taha
Impact in
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Imbalanced Data Classification Techniques
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- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
Papers in
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- Anomaly Detection Techniques and Applications 5
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- Network Security and Intrusion Detection 5
- Co-authors
- Ali S. Hadi (4 shared papers)Susan McKeever (4 shared papers)Jane Courtney (1 shared paper)Essam H. Houssein (1 shared paper)Aboul Ella Hassanien (1 shared paper)Ayman M. Bahaa-Eldin (6 shared papers)Hani Mahdi (2 shared papers)Osman Hegazy (1 shared paper)
- Journals
- ACM Computing Surveys (1 paper)Applied Sciences (1 paper)GeoInformatica (1 paper)IEEE Access (1 paper)Sensors (1 paper)
- Partner nations
- EgyptIrelandUnited States
In The Last Decade
Ayman Taha
15 papers receiving 270 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 122
- Computer Networks and Communications 86
- Cognitive Neuroscience 50
- Signal Processing 29
- Human-Computer Interaction 13
Countries citing papers authored by Ayman Taha
This map shows the geographic impact of Ayman Taha'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 Ayman Taha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayman Taha more than expected).
Fields of papers citing papers by Ayman Taha
This network shows the impact of papers produced by Ayman Taha. 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 Ayman Taha. The network helps show where Ayman Taha may publish in the future.
Co-authors
The 14 scholars most cited alongside Ayman Taha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2019 | 63 | |
| 3 | 2019 | 59 | |
| 4 | 2022 | 21 | |
| 5 | 2016 | 14 | |
| 6 | 2010 | 14 | |
| 7 | 2022 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2013 | 6 | |
| 10 | A proposed outliers identification algorithm for categorical data sets | 2010 | 5 |
| 11 | 2021 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2016 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2010 | 0 | |
| 17 | 2014 | 0 |
About Ayman Taha
Ayman Taha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Statistics and Probability, having authored 17 papers that have together received 280 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers), Advanced Statistical Methods and Models (3 papers), Statistical Methods and Inference (2 papers), Cloud Computing and Resource Management (2 papers), Gene expression and cancer classification (1 paper) and Smart Parking Systems Research (1 paper). The work is most often cited by research in Artificial Intelligence (122 citations), Computer Networks and Communications (86 citations), Cognitive Neuroscience (50 citations), Signal Processing (29 citations) and Human-Computer Interaction (13 citations). Ayman Taha has collaborated with scholars based in Egypt, Ireland and United States. Frequent co-authors include Ali S. Hadi, Susan McKeever, Jane Courtney, Essam H. Houssein, Aboul Ella Hassanien, Ayman M. Bahaa-Eldin, Hani Mahdi, Osman Hegazy, John A. Stankovic and Abdeltawab Hendawi. Their work appears in journals such as ACM Computing Surveys, Applied Sciences, GeoInformatica, IEEE Access and Sensors.
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.