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Researcher · Carleton University · Canada

Paul C. van Oorschot

Paul C. van Oorschot publishes mostly in Information Systems, Artificial Intelligence and Computer Networks and Communications, on topics such as Advanced Malware Detection Techniques, User Authentication and Security Systems and Network Security and Intrusion Detection.

ORCID 0000-0002-5038-5370 OpenAlex
World rank
#25,192
of 7,710,434 ranked researchers
Rank in Canada
#587
of 183,316
Works
302
Citations
29k
Citations per work
95.8
h-index
62
i10-index 150Top 0.1% in Information Systems
Paul C. van Oorschot

What does Paul C. van Oorschot research?

Paul C. van Oorschot's work is mostly in Computer Science (76%), Social Sciences (4%).

Physical Sciences: 229 works · 75.9% of their workComputer Science: 229 works · 75.9% of their workInformation Systems: 71 works · 23.5% of their workArtificial Intelligence: 59 works · 19.7% of their workComputer Networks and Communications: 43 works · 14.4% of their workSignal Processing: 41 works · 13.5% of their workComputer Vision and Pattern Recognition: 14 works · 4.8% of their workEverything else: 60 works · 19.9% of their workSocial Sciences: 13 works · 4.2% of their workSocial Sciences: 13 works · 4.2% of their workSociology and Political Science: 13 works · 4.2% of their workTHEIR WORKPaul C. vanOorschot302works
Physical Sciences76%Social Sciences4%

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
    1. Computer Science22975.9%
  2. Everything else6019.9%
    1. Social Sciences134.2%
  1. 1Information Systems24% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Computer Networks and Communications14% of their works
  4. 4Signal Processing14% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Sociology and Political Science4% of their works

Research topics

Which keywords describe Paul C. van Oorschot's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, IoT Security, Security Analysis, Behavioral Analysis, Authentication, Biometrics and Android Malware.

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 25 words, with their numbers
  1. Machine Learning2144 topics
  2. Deep Learning1823 topics
  3. IoT Security1422 topics
  4. Security Analysis1352 topics
  5. Behavioral Analysis1322 topics
  6. Authentication1272 topics
  7. Biometrics1272 topics
  8. Android Malware1001 topic
  9. Detection1001 topic
  10. Passwords971 topic
  11. Security971 topic
  12. Side-Channel Attacks672 topics
  13. Cryptanalysis652 topics
  14. Intrusion Detection421 topic
  15. Network Security421 topic
  16. Classification401 topic
  17. Internet Traffic401 topic
  18. Block Ciphers351 topic
  19. Hash Functions351 topic
  20. Control-Flow Integrity321 topic
  21. Phishing321 topic
  22. Security Policies321 topic
  23. Spam Detection321 topic
  24. Key Exchange301 topic
  25. Security Protocols301 topic

Where does Paul C. van Oorschot work?

Paul C. van Oorschot's main affiliation in the publication record is Carleton University, Canada.

How many publications and citations does Paul C. van Oorschot have?

OpenAlex counts 302 works and 28,931 citations for Paul C. van Oorschot, an h-index of 62, ranking #25,192 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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