Mark Stamp
Mark Stamp publishes mostly in Artificial Intelligence, Signal Processing and Computer Networks and Communications, on topics such as Network Security and Intrusion Detection, Advanced Malware Detection Techniques and Anomaly Detection Techniques and Applications.
- World rank
- #858,825 of 1,633,909 ranked researchers
- Rank in United States
- #239,580 of 358,040
- Works
- 58
- Citations
- 111
- Citations per work
- 1.9
What does Mark Stamp research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence26% of their works
- 2Signal Processing13% of their works
- 3Computer Networks and Communications13% of their works
- 4Information Systems12% of their works
- 5Software4% of their works
- 6Statistics and Probability4% of their works
Research topics
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- User Authentication and Security Systems
- Digital Rights Management and Security
- Software Testing and Debugging Techniques
- Gaze Tracking and Assistive Technology
Which keywords describe Mark Stamp's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, IoT Security, Anomaly Detection, Android Malware, Detection, Intrusion Detection and Network Security.
- Gaze Estimation
- Software Fault Localization
- Interoperable
- Biometrics
- Authentication
- Unsupervised
- Security
- Network Security
- Detection
- Anomaly Detection
- Machine Learning
- Deep Learning
- IoT Security
- Android Malware
- Intrusion Detection
- Neural Networks
- Outlier Detection
- Adversarial Examples
- Automated Testing
- DRM
- Robustness
- Eye Tracking
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 Learning284 topics
- Machine Learning233 topics
- IoT Security202 topics
- Anomaly Detection152 topics
- Android Malware101 topic
- Detection101 topic
- Intrusion Detection101 topic
- Network Security101 topic
- Neural Networks82 topics
- Security62 topics
- Outlier Detection51 topic
- Unsupervised51 topic
- Adversarial Examples31 topic
- Authentication31 topic
- Automated Testing31 topic
- Biometrics31 topic
- DRM31 topic
- Interoperable31 topic
- Robustness31 topic
- Software Fault Localization31 topic
- Eye Tracking21 topic
- Gaze Estimation21 topic
Where does Mark Stamp work?
Mark Stamp's main affiliation in the publication record is San Jose State University, United States.
How many publications and citations does Mark Stamp have?
Science Explorer counts 58 works and 111 citations for Mark Stamp, ranking #858,825 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.