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Researcher · Uber AI (United States) · United States

Matt Dickenson

Matt Dickenson publishes mostly in Artificial Intelligence, Information Systems and Political Science and International Relations, on topics such as Computational Physics and Python Applications, Data Analysis with R and Distributed and Parallel Computing Systems.

OpenAlex
World rank
#3,750,314
of 7,710,434 ranked researchers
Rank in United States
#1,036,004
of 1,627,098
Works
22
Citations
663
Citations per work
30.1
h-index
6
i10-index 6Top 74% in Artificial Intelligence
Matt Dickenson

What does Matt Dickenson research?

Matt Dickenson's work is mostly in Computer Science (52%), Social Sciences (9%), Psychology (7%).

Physical Sciences: 11 works · 52.2% of their workComputer Science: 11 works · 52.2% of their workArtificial Intelligence: 6 works · 28.3% of their workInformation Systems: 4 works · 17.4% of their workComputer Networks and Communications: 1 works · 6.5% of their workEverything else: 7 works · 30.4% of their workSocial Sciences: 3 works · 15.2% of their workSocial Sciences: 2 works · 8.7% of their workPolitical Science and International Relations: 2 works · 8.7% of their workPsychology: 1 works · 6.5% of their workExperimental and Cognitive Psychology: 1 works · 6.5% of their workLife Sciences: 0 works · 2.2% of their workNeuroscience: 0 works · 2.2% of their workCognitive Neuroscience: 0 works · 2.2% of their workTHEIR WORKMatt Dickenson22works
Life Sciences2%Physical Sciences52%Social Sciences15%

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 Science1152.2%
  2. Everything else730.4%
    1. Social Sciences28.7%
    2. Psychology16.5%
    1. Neuroscience02.2%
  1. 1Artificial Intelligence28% of their works
  2. 2Information Systems17% of their works
  3. 3Political Science and International Relations9% of their works
  4. 4Experimental and Cognitive Psychology6% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Matt Dickenson's research?

The keywords of their largest research topics: Machine Learning, Statistical Modeling, Python, Scientific Computing, Achievement Motivation, Distributed Systems, Grid Computing and R language.

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 18 words, with their numbers
  1. Machine Learning92 topics
  2. Statistical Modeling92 topics
  3. Python71 topic
  4. Scientific Computing71 topic
  5. Achievement Motivation21 topic
  6. Distributed Systems21 topic
  7. Grid Computing21 topic
  8. R language21 topic
  9. Self-Efficacy21 topic
  10. Statistical Analysis21 topic
  11. Answer Set Programming11 topic
  12. Compression11 topic
  13. Differential Evolution11 topic
  14. Education11 topic
  15. Modal Logic11 topic
  16. Neuroscience11 topic
  17. Particle Swarm Optimization11 topic
  18. Suffix Arrays11 topic

Where does Matt Dickenson work?

Matt Dickenson's main affiliation in the publication record is Uber AI (United States), United States.

How many publications and citations does Matt Dickenson have?

OpenAlex counts 22 works and 663 citations for Matt Dickenson, an h-index of 6, ranking #3,750,314 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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