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Researcher · École Polytechnique Fédérale de Lausanne · Switzerland

Rebekah Overdorf

Rebekah Overdorf publishes mostly in Artificial Intelligence, Information Systems and Sociology and Political Science, on topics such as Spam and Phishing Detection, Hate Speech and Cyberbullying Detection and Misinformation and Its Impacts.

ORCID 0000-0003-3462-9539 OpenAlex
World rank
#1,236,974
of 7,710,434 ranked researchers
Rank in Switzerland
#20,853
of 80,918
Works
37
Citations
358
Citations per work
9.7
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Rebekah Overdorf

What does Rebekah Overdorf research?

Rebekah Overdorf's work is mostly in Computer Science (58%), Social Sciences (21%), Physics and Astronomy (4%).

Physical Sciences: 23 works · 61.8% of their workComputer Science: 21 works · 57.7% of their workArtificial Intelligence: 10 works · 27.8% of their workInformation Systems: 8 works · 22.7% of their workSignal Processing: 2 works · 4.1% of their workComputer Vision and Pattern Recognition: 1 works · 3.1% of their workPhysics and Astronomy: 2 works · 4.1% of their workStatistical and Nonlinear Physics: 2 works · 4.1% of their workSocial Sciences: 8 works · 20.6% of their workSocial Sciences: 8 works · 20.6% of their workSociology and Political Science: 8 works · 20.6% of their workEverything else: 7 works · 17.6% of their workTHEIR WORKRebekah Overdorf37works
Physical Sciences62%Social Sciences21%

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 Science2157.7%
    2. Physics and Astronomy24.1%
    1. Social Sciences820.6%
  3. Everything else717.6%
  1. 1Artificial Intelligence28% of their works
  2. 2Information Systems23% of their works
  3. 3Sociology and Political Science21% of their works
  4. 4Statistical and Nonlinear Physics4% of their works
  5. 5Signal Processing4% of their works
  6. 6Computer Vision and Pattern Recognition3% of their works

Research topics

Which keywords describe Rebekah Overdorf's research?

The keywords of their largest research topics: Machine Learning, Social Media, Deep Learning, Behavioral Analysis, Detection, Phishing, Spam Detection and Cyberbullying.

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
  1. Machine Learning425 topics
  2. Social Media252 topics
  3. Deep Learning233 topics
  4. Behavioral Analysis192 topics
  5. Detection182 topics
  6. Phishing151 topic
  7. Spam Detection151 topic
  8. Cyberbullying141 topic
  9. Hate Speech141 topic
  10. Fake News111 topic
  11. Misinformation111 topic
  12. Text Classification62 topics
  13. Classification51 topic
  14. Internet Traffic51 topic
  15. Android Malware41 topic
  16. Authorship Attribution41 topic
  17. Cybercrime41 topic
  18. Dark Web41 topic
  19. Security Analysis41 topic
  20. Stylometry41 topic
  21. Neural Networks21 topic
  22. Word Representation21 topic

Where does Rebekah Overdorf work?

Rebekah Overdorf's main affiliation in the publication record is École Polytechnique Fédérale de Lausanne, Switzerland.

How many publications and citations does Rebekah Overdorf have?

OpenAlex counts 37 works and 358 citations for Rebekah Overdorf, an h-index of 12, ranking #1,236,974 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.

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