Jason Earl Thomas
Jason Earl Thomas publishes mostly in Information Systems, Signal Processing and Gender Studies, on topics such as Advanced Malware Detection Techniques, Cybercrime and Law Enforcement Studies and Spam and Phishing Detection.
- World rank
- #2,778,305 of 7,710,434 ranked researchers
- Rank in United States
- #807,237 of 1,627,098
- Works
- 24
- Citations
- 227
- Citations per work
- 9.5
What does Jason Earl Thomas research?
Jason Earl Thomas's work is mostly in Computer Science (25%), Social Sciences (15%), Engineering (5%).
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
- Everything else1355.8%
- Physical Sciences729.5%
- Computer Science624.6%
- Engineering14.9%
- Social Sciences414.7%
- Social Sciences414.7%
- 1Information Systems16% of their works
- 2Signal Processing8% of their works
- 3Gender Studies5% of their works
- 4Electrical and Electronic Engineering5% of their works
- 5Sociology and Political Science5% of their works
- 6Safety Research5% of their works
Research topics
- Advanced Malware Detection Techniques
- Cybercrime and Law Enforcement Studies
- Spam and Phishing Detection
- Sports, Gender, and Society
- Martial Arts: Techniques, Psychology, and Education
- Network Security and Intrusion Detection
- Service-Oriented Architecture and Web Services
- Veterinary Equine Medical Research
Which keywords describe Jason Earl Thomas's research?
The keywords of their largest research topics: Machine Learning, Behavioral Analysis, Deep Learning, IoT Security, Android Malware, Detection, Combat Sports and Cybercrime.
- Welfare Assessment
- QoS-Aware Middleware
- Intrusion Detection
- Sport
- Phishing
- Gender
- Cybercrime
- Detection
- IoT Security
- Behavioral Analysis
- Machine Learning
- Deep Learning
- Android Malware
- Combat Sports
- Dark Web
- Martial Arts
- Spam Detection
- Equine Health
- Network Security
- Semantic Web Services
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 20 words, with their numbers
- Machine Learning103 topics
- Behavioral Analysis82 topics
- Deep Learning72 topics
- IoT Security72 topics
- Android Malware51 topic
- Detection51 topic
- Combat Sports31 topic
- Cybercrime31 topic
- Dark Web31 topic
- Gender31 topic
- Martial Arts31 topic
- Phishing31 topic
- Spam Detection31 topic
- Sport31 topic
- Equine Health21 topic
- Intrusion Detection21 topic
- Network Security21 topic
- QoS-Aware Middleware21 topic
- Semantic Web Services21 topic
- Welfare Assessment21 topic
Where does Jason Earl Thomas work?
Jason Earl Thomas's main affiliation in the publication record is Grand Canyon University, United States.
How many publications and citations does Jason Earl Thomas have?
OpenAlex counts 24 works and 227 citations for Jason Earl Thomas, an h-index of 6, ranking #2,778,305 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.
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