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Researcher · Princeton University · United States

Akshay K. Jagadish

Akshay K. Jagadish publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology, on topics such as Explainable Artificial Intelligence (XAI), Topic Modeling and Child and Animal Learning Development.

OpenAlex
World rank
#2,475,532
of 7,710,434 ranked researchers
Rank in United States
#731,053
of 1,627,098
Works
23
Citations
233
Citations per work
10.1
h-index
5
i10-index 4Top 82% in Artificial Intelligence
Akshay K. Jagadish

What does Akshay K. Jagadish research?

Akshay K. Jagadish's work is mostly in Computer Science (50%), Psychology (14%), Neuroscience (14%).

Physical Sciences: 11 works · 50.0% of their workComputer Science: 11 works · 50.0% of their workArtificial Intelligence: 11 works · 46.9% of their workComputational Theory and Mathematics: 1 works · 3.1% of their workSocial Sciences: 5 works · 21.9% of their workPsychology: 3 works · 14.1% of their workDevelopmental and Educational Psychology: 2 works · 7.8% of their workSocial Psychology: 1 works · 6.3% of their workSocial Sciences: 2 works · 7.8% of their workCultural Studies: 2 works · 7.8% of their workLife Sciences: 3 works · 14.1% of their workNeuroscience: 3 works · 14.1% of their workCognitive Neuroscience: 3 works · 14.1% of their workEverything else: 3 works · 14.0% of their workTHEIR WORKAkshay K.Jagadish23works
Life Sciences14%Physical Sciences50%Social Sciences22%

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 Science1150.0%
    1. Psychology314.1%
    2. Social Sciences27.8%
    1. Neuroscience314.1%
  4. Everything else314.0%
  1. 1Artificial Intelligence47% of their works
  2. 2Cognitive Neuroscience14% of their works
  3. 3Developmental and Educational Psychology8% of their works
  4. 4Cultural Studies8% of their works
  5. 5Social Psychology6% of their works
  6. 6Computational Theory and Mathematics3% of their works

Research topics

Which keywords describe Akshay K. Jagadish's research?

The keywords of their largest research topics: Interpretable Models, Machine Learning Interpretability, Neural Networks, Social Cognition, Language, Machine Translation, Word Representation and Child Development.

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 19 words, with their numbers
  1. Interpretable Models101 topic
  2. Machine Learning Interpretability101 topic
  3. Neural Networks92 topics
  4. Social Cognition82 topics
  5. Language72 topics
  6. Machine Translation71 topic
  7. Word Representation71 topic
  8. Child Development51 topic
  9. Cultural Evolution51 topic
  10. Social Learning51 topic
  11. Theory of Mind51 topic
  12. Embodied Cognition31 topic
  13. Neural Machine Translation31 topic
  14. Predictive Brain Theory31 topic
  15. Statistical Machine Translation31 topic
  16. Cognition21 topic
  17. Heuristic Search21 topic
  18. Physics of Mind21 topic
  19. Planning Systems21 topic

Where does Akshay K. Jagadish work?

Akshay K. Jagadish's main affiliation in the publication record is Princeton University, United States.

How many publications and citations does Akshay K. Jagadish have?

OpenAlex counts 23 works and 233 citations for Akshay K. Jagadish, an h-index of 5, ranking #2,475,532 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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