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Researcher · Human Resources Research Organization · United States

Martin C. Yu

Martin C. Yu publishes mostly in Management Science and Operations Research, Education and Artificial Intelligence, on topics such as Decision-Making and Behavioral Economics, Psychometric Methodologies and Testing and Topic Modeling.

ORCID 0000-0003-3670-5443 OpenAlex
World rank
#2,174,816
of 7,710,434 ranked researchers
Rank in United States
#653,592
of 1,627,098
Works
17
Citations
297
Citations per work
17.5
h-index
7
i10-index 7Top 65% in Management Science and Operations Research
Martin C. Yu

What does Martin C. Yu research?

Martin C. Yu's work is mostly in Decision Sciences (20%), Social Sciences (15%), Computer Science (9%).

Everything else: 9 works · 52.3% of their workSocial Sciences: 6 works · 34.7% of their workDecision Sciences: 3 works · 19.5% of their workManagement Science and Operations Research: 2 works · 13.0% of their workGeneral Decision Sciences: 1 works · 6.5% of their workSocial Sciences: 3 works · 15.2% of their workEducation: 1 works · 8.7% of their workSociology and Political Science: 1 works · 6.5% of their workPhysical Sciences: 1 works · 8.7% of their workComputer Science: 1 works · 8.7% of their workArtificial Intelligence: 1 works · 8.7% of their workLife Sciences: 1 works · 4.3% of their workNeuroscience: 1 works · 4.3% of their workCognitive Neuroscience: 1 works · 4.3% of their workTHEIR WORKMartin C. Yu17works
Life Sciences4%Physical Sciences9%Social Sciences35%

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. Everything else952.3%
    1. Decision Sciences319.5%
    2. Social Sciences315.2%
    1. Computer Science18.7%
    1. Neuroscience14.3%
  1. 1Management Science and Operations Research13% of their works
  2. 2Education9% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Sociology and Political Science6% of their works
  5. 5General Decision Sciences6% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe Martin C. Yu's research?

The keywords of their largest research topics: Decision Making, Measurement Invariance, Risk Aversion, Structural Equation Modeling, Time Discounting, Inter-Rater Reliability, Kappa Statistic and Neural Networks.

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 17 words, with their numbers
  1. Decision Making42 topics
  2. Measurement Invariance31 topic
  3. Risk Aversion31 topic
  4. Structural Equation Modeling31 topic
  5. Time Discounting31 topic
  6. Inter-Rater Reliability21 topic
  7. Kappa Statistic21 topic
  8. Neural Networks21 topic
  9. Word Representation21 topic
  10. Affective States11 topic
  11. Biomedical Ontologies11 topic
  12. Brain-Computer Interfaces11 topic
  13. Cognitive Control11 topic
  14. EEG Analysis11 topic
  15. Intelligent Tutoring Systems11 topic
  16. Neural Mechanisms11 topic
  17. Text Mining11 topic

Where does Martin C. Yu work?

Martin C. Yu's main affiliation in the publication record is Human Resources Research Organization, United States.

How many publications and citations does Martin C. Yu have?

OpenAlex counts 17 works and 297 citations for Martin C. Yu, an h-index of 7, ranking #2,174,816 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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