Mohammed Al-Sarem
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Faisal SaeedWadii BoulilaAbdullah AlsaeediMohamed KissiAbdellah MadaniFuad A. GhalebMohammed HadwanTawfik Al-Hadhrami
- Topics
- Spam and Phishing Detection (18 papers)Network Security and Intrusion Detection (9 papers)Misinformation and Its Impacts (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- Saudi ArabiaYemenUnited Kingdom
In The Last Decade
Mohammed Al-Sarem
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 639
- Information Systems 365
- Computer Networks and Communications 266
- Signal Processing 209
- Computer Vision and Pattern Recognition 181
Countries citing papers authored by Mohammed Al-Sarem
This map shows the geographic impact of Mohammed Al-Sarem'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 Al-Sarem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Al-Sarem more than expected).
Fields of papers citing papers by Mohammed Al-Sarem
This network shows the impact of papers produced by Mohammed Al-Sarem. 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 Al-Sarem. The network helps show where Mohammed Al-Sarem may publish in the future.
Co-authorship network of co-authors of Mohammed Al-Sarem
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Al-Sarem. A scholar is included among the top collaborators of Mohammed Al-Sarem 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 Mohammed Al-Sarem. Mohammed Al-Sarem 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 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 10 | |
| 13 | 27 | |
| 14 | 2 | |
| 15 | 75 | |
| 16 | 25 | |
| 17 | 36 | |
| 18 | 47 | |
| 19 | 15 | |
| 20 | 34 |
About Mohammed Al-Sarem
Mohammed Al-Sarem is a scholar working on Artificial Intelligence, General Dentistry and Information Systems, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spam and Phishing Detection (18 papers), Network Security and Intrusion Detection (9 papers) and Misinformation and Its Impacts (9 papers). The work is most often cited by research in Health Informatics (30 citations), Artificial Intelligence (639 citations) and Signal Processing (209 citations). Mohammed Al-Sarem has collaborated with scholars based in Saudi Arabia, Yemen and United Kingdom. Frequent co-authors include Faisal Saeed, Wadii Boulila, Abdullah Alsaeedi, Mohamed Kissi, Abdellah Madani, Fuad A. Ghaleb, Mohammed Hadwan, Tawfik Al-Hadhrami, Abdel-Hamid M. Emara and Fahad Ghabban. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.