Hanan Abdullah Mengash
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Science Applications top 2%
- Computer Networks and Communications top 10%
- Aerospace Engineering top 10%
- Co-authors
- Fatma OutayMuhammad AdnanManar Ahmed HamzaAhmed S. SalamaAlexander BrodskyFaiz Abdullah AlotaibiAbu Sarwar ZamaniSumayh S. Aljameel
- Topics
- Network Security and Intrusion Detection (8 papers)Internet Traffic Analysis and Secure E-voting (6 papers)Advanced Malware Detection Techniques (6 papers)
- Cited by
- Computer Science ApplicationsHealth Information ManagementComputer Vision and Pattern Recognition
- Partner nations
- Saudi ArabiaEgyptUnited States
In The Last Decade
Hanan Abdullah Mengash
57 papers receiving 817 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 187
- Computer Science Applications 155
- Computer Networks and Communications 141
- Aerospace Engineering 132
Countries citing papers authored by Hanan Abdullah Mengash
This map shows the geographic impact of Hanan Abdullah Mengash'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 Hanan Abdullah Mengash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanan Abdullah Mengash more than expected).
Fields of papers citing papers by Hanan Abdullah Mengash
This network shows the impact of papers produced by Hanan Abdullah Mengash. 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 Hanan Abdullah Mengash. The network helps show where Hanan Abdullah Mengash may publish in the future.
Co-authorship network of co-authors of Hanan Abdullah Mengash
This figure shows the co-authorship network connecting the top 25 collaborators of Hanan Abdullah Mengash. A scholar is included among the top collaborators of Hanan Abdullah Mengash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanan Abdullah Mengash. Hanan Abdullah Mengash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 31 | |
| 13 | 0 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | 11 |
About Hanan Abdullah Mengash
Hanan Abdullah Mengash is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 868 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Computer Science Applications (155 citations), Health Information Management (51 citations) and Computer Vision and Pattern Recognition (187 citations). Hanan Abdullah Mengash has collaborated with scholars based in Saudi Arabia, Egypt and United States. Frequent co-authors include Fatma Outay, Muhammad Adnan, Manar Ahmed Hamza, Ahmed S. Salama, Alexander Brodsky, Faiz Abdullah Alotaibi, Abu Sarwar Zamani, Sumayh S. Aljameel, Mohammad Alamgeer and Ishfaq Yaseen. Their work appears in journals such as Scientific Reports, IEEE Access and Molecules.
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.