MohammadNoor Injadat
MohammadNoor Injadat publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Science Applications, on topics such as Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications and Online Learning and Analytics.
- World rank
- #661,082 of 7,710,434 ranked researchers
- Rank in Jordan
- #427 of 5,764
- Works
- 38
- Citations
- 1.5k
- Citations per work
- 39.4
What does MohammadNoor Injadat research?
MohammadNoor Injadat's work is mostly in Computer Science (68%), Social Sciences (4%).
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 Sciences2667.8%
- Computer Science2667.8%
- Everything else1127.9%
- Social Sciences24.3%
- Social Sciences24.3%
- 1Artificial Intelligence30% of their works
- 2Computer Networks and Communications15% of their works
- 3Computer Science Applications11% of their works
- 4Signal Processing8% of their works
- 5Education4% of their works
- 6Information Systems4% of their works
Research topics
- Network Security and Intrusion Detection
- Anomaly Detection Techniques and Applications
- Online Learning and Analytics
- Advanced Malware Detection Techniques
- Internet Traffic Analysis and Secure E-voting
- Intelligent Tutoring Systems and Adaptive Learning
- Data Mining Algorithms and Applications
- Software Testing and Debugging Techniques
Which keywords describe MohammadNoor Injadat's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Anomaly Detection, IoT Security, Data Mining, Intrusion Detection, Network Security and Outlier Detection.
- Intelligent Tutoring Systems
- Automated Testing
- Affective States
- Classification
- Android Malware
- Educational Data Mining
- Outlier Detection
- Intrusion Detection
- IoT Security
- Machine Learning
- Deep Learning
- Anomaly Detection
- Data Mining
- Network Security
- Unsupervised
- Learning Analytics
- Detection
- Internet Traffic
- Association Rules
- Frequent Patterns
- Software Fault Localization
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 21 words, with their numbers
- Deep Learning404 topics
- Machine Learning385 topics
- Anomaly Detection272 topics
- IoT Security212 topics
- Data Mining162 topics
- Intrusion Detection141 topic
- Network Security141 topic
- Outlier Detection131 topic
- Unsupervised131 topic
- Educational Data Mining91 topic
- Learning Analytics91 topic
- Android Malware71 topic
- Detection71 topic
- Classification61 topic
- Internet Traffic61 topic
- Affective States21 topic
- Association Rules21 topic
- Automated Testing21 topic
- Frequent Patterns21 topic
- Intelligent Tutoring Systems21 topic
- Software Fault Localization21 topic
Where does MohammadNoor Injadat work?
MohammadNoor Injadat's main affiliation in the publication record is Zarqa University, Jordan.
How many publications and citations does MohammadNoor Injadat have?
OpenAlex counts 38 works and 1,497 citations for MohammadNoor Injadat, an h-index of 13, ranking #661,082 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.
Discussion
Ask a question or share a note about MohammadNoor Injadat. Posts are plain text and can be reported.