Mohamed Jaward Bah
Mohamed Jaward Bah publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection and Imbalanced Data Classification Techniques.
- World rank
- #4,945,786 of 7,710,434 ranked researchers
- Rank in China
- #740,795 of 978,568
- Works
- 20
- Citations
- 612
- Citations per work
- 30.6
What does Mohamed Jaward Bah research?
Mohamed Jaward Bah's work is mostly in Computer Science (70%), Engineering (12%).
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 Sciences1681.6%
- Computer Science1470.0%
- Engineering211.6%
- Everything else418.4%
- 1Artificial Intelligence45% of their works
- 2Computer Networks and Communications15% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Biomedical Engineering5% of their works
- 5Electrical and Electronic Engineering3% of their works
- 6Civil and Structural Engineering3% of their works
Research topics
Which keywords describe Mohamed Jaward Bah's research?
The keywords of their largest research topics: Deep Learning, Anomaly Detection, Neural Networks, Outlier Detection, Unsupervised, Intrusion Detection, Machine Learning and IoT Security.
- Internet of Things
- Edge Computing
- Robustness
- Data Streams
- Artificial Immune Systems
- Imbalanced Data
- Network Security
- IoT Security
- Intrusion Detection
- Outlier Detection
- Anomaly Detection
- Deep Learning
- Neural Networks
- Unsupervised
- Machine Learning
- DDoS Attacks
- Classification
- Adversarial Examples
- Concept Drift
- Immune System
- Digital Forensics
- Image Forgery Detection
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 22 words, with their numbers
- Deep Learning245 topics
- Anomaly Detection203 topics
- Neural Networks152 topics
- Outlier Detection121 topic
- Unsupervised121 topic
- Intrusion Detection82 topics
- Machine Learning82 topics
- IoT Security72 topics
- DDoS Attacks51 topic
- Network Security51 topic
- Classification41 topic
- Imbalanced Data41 topic
- Adversarial Examples31 topic
- Artificial Immune Systems31 topic
- Concept Drift31 topic
- Data Streams31 topic
- Immune System31 topic
- Robustness31 topic
- Digital Forensics21 topic
- Edge Computing21 topic
- Image Forgery Detection21 topic
- Internet of Things21 topic
Where does Mohamed Jaward Bah work?
Mohamed Jaward Bah's main affiliation in the publication record is Zhejiang Lab, China.
How many publications and citations does Mohamed Jaward Bah have?
OpenAlex counts 20 works and 612 citations for Mohamed Jaward Bah, an h-index of 7, ranking #4,945,786 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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
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