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Researcher · Worcester Polytechnic Institute · United States

Jacob Whitehill

Jacob Whitehill publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, on topics such as Online Learning and Analytics, Intelligent Tutoring Systems and Adaptive Learning and Speech Recognition and Synthesis.

ORCID 0000-0002-5851-312X OpenAlex
World rank
#762,142
of 7,710,434 ranked researchers
Rank in United States
#255,589
of 1,627,098
Works
104
Citations
4.3k
Citations per work
40.9
h-index
24
i10-index 43Top 8.5% in Artificial Intelligence
Jacob Whitehill

What does Jacob Whitehill research?

Jacob Whitehill's work is mostly in Computer Science (70%), Psychology (9%).

Physical Sciences: 73 works · 70.0% of their workComputer Science: 73 works · 70.0% of their workArtificial Intelligence: 33 works · 31.4% of their workComputer Vision and Pattern Recognition: 18 works · 16.9% of their workComputer Science Applications: 14 works · 13.1% of their workSignal Processing: 9 works · 8.6% of their workEverything else: 22 works · 21.3% of their workSocial Sciences: 9 works · 8.7% of their workPsychology: 9 works · 8.7% of their workExperimental and Cognitive Psychology: 6 works · 5.9% of their workDevelopmental and Educational Psychology: 3 works · 2.8% of their workTHEIR WORKJacob Whitehill104works
Physical Sciences70%Social Sciences9%

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 Science7370.0%
  2. Everything else2221.3%
    1. Psychology98.7%
  1. 1Artificial Intelligence31% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Computer Science Applications13% of their works
  4. 4Signal Processing9% of their works
  5. 5Experimental and Cognitive Psychology6% of their works
  6. 6Developmental and Educational Psychology3% of their works

Research topics

Which keywords describe Jacob Whitehill's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Face Recognition, Educational Data Mining, Learning Analytics, Affective States, Intelligent Tutoring Systems and Feature Extraction.

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
  1. Deep Learning474 topics
  2. Convolutional Neural Networks373 topics
  3. Face Recognition272 topics
  4. Educational Data Mining251 topic
  5. Learning Analytics251 topic
  6. Affective States211 topic
  7. Intelligent Tutoring Systems211 topic
  8. Feature Extraction202 topics
  9. Acoustic Modeling181 topic
  10. Deep Neural Networks181 topic
  11. Audio-Visual Speech Recognition151 topic
  12. Dimensionality Reduction151 topic
  13. Feature Selection151 topic
  14. Speech Enhancement151 topic
  15. Emotion Recognition131 topic
  16. Multimodal Data131 topic
  17. Age Estimation121 topic
  18. Facial Landmark Detection121 topic
  19. Audio Signal Classification71 topic
  20. Music Information Retrieval71 topic

Where does Jacob Whitehill work?

Jacob Whitehill's main affiliation in the publication record is Worcester Polytechnic Institute, United States.

How many publications and citations does Jacob Whitehill have?

OpenAlex counts 104 works and 4,255 citations for Jacob Whitehill, an h-index of 24, ranking #762,142 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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