Mohammad Almseidin
Mohammad Almseidin publishes mostly in Artificial Intelligence, Computer Networks and Communications and Signal Processing, on topics such as Network Security and Intrusion Detection, Advanced Malware Detection Techniques and Anomaly Detection Techniques and Applications.
- World rank
- #723,999 of 7,710,434 ranked researchers
- Rank in Jordan
- #478 of 5,764
- Works
- 51
- Citations
- 784
- Citations per work
- 15.4
What does Mohammad Almseidin research?
Mohammad Almseidin's work is mostly in Computer Science (89%), Engineering (2%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences4791.5%
- Computer Science4689.4%
- Engineering12.1%
- Everything else48.5%
- 1Artificial Intelligence32% of their works
- 2Computer Networks and Communications29% of their works
- 3Signal Processing17% of their works
- 4Information Systems7% of their works
- 5Hardware and Architecture4% of their works
- 6Control and Systems Engineering2% of their works
Research topics
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
- Network Packet Processing and Optimization
- Spam and Phishing Detection
- Text and Document Classification Technologies
- Metaheuristic Optimization Algorithms Research
Which keywords describe Mohammad Almseidin's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, IoT Security, Anomaly Detection, Intrusion Detection, DDoS Attacks, Network Security and Behavioral Analysis.
- Particle Swarm Optimization
- Text Classification
- Spam Detection
- Packet Classification
- Internet Traffic
- Unsupervised
- Detection
- Behavioral Analysis
- DDoS Attacks
- Anomaly Detection
- Machine Learning
- Deep Learning
- IoT Security
- Intrusion Detection
- Network Security
- Android Malware
- Outlier Detection
- Classification
- Deep Packet Inspection
- Phishing
- Multi-label Learning
- Differential Evolution
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 22 words, with their numbers
- Deep Learning824 topics
- Machine Learning764 topics
- IoT Security602 topics
- Anomaly Detection492 topics
- Intrusion Detection432 topics
- DDoS Attacks371 topic
- Network Security371 topic
- Behavioral Analysis292 topics
- Android Malware231 topic
- Detection231 topic
- Outlier Detection121 topic
- Unsupervised121 topic
- Classification101 topic
- Internet Traffic101 topic
- Deep Packet Inspection61 topic
- Packet Classification61 topic
- Phishing61 topic
- Spam Detection61 topic
- Multi-label Learning41 topic
- Text Classification41 topic
- Differential Evolution31 topic
- Particle Swarm Optimization31 topic
Where does Mohammad Almseidin work?
Mohammad Almseidin's main affiliation in the publication record is Tafila Technical University, Jordan.
How many publications and citations does Mohammad Almseidin have?
OpenAlex counts 51 works and 784 citations for Mohammad Almseidin, an h-index of 15, ranking #723,999 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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