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Researcher · Davidson College · United States

Margaret P. Munger

Margaret P. Munger publishes mostly in Cognitive Neuroscience, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, on topics such as Visual perception and processing mechanisms, Spatial Cognition and Navigation and Face Recognition and Perception.

OpenAlex
World rank
#3,667,384
of 7,710,434 ranked researchers
Rank in United States
#1,017,156
of 1,627,098
Works
25
Citations
541
Citations per work
21.6
h-index
12
i10-index 13Top 54% in Cognitive Neuroscience
Margaret P. Munger

What does Margaret P. Munger research?

Margaret P. Munger's work is mostly in Neuroscience (27%), Psychology (27%), Computer Science (10%).

Life Sciences: 7 works · 27.1% of their workNeuroscience: 7 works · 27.1% of their workCognitive Neuroscience: 7 works · 27.1% of their workSocial Sciences: 7 works · 27.1% of their workPsychology: 7 works · 27.1% of their workDevelopmental and Educational Psychology: 3 works · 10.4% of their workSocial Psychology: 3 works · 10.4% of their workExperimental and Cognitive Psychology: 2 works · 6.3% of their workEverything else: 6 works · 25.0% of their workPhysical Sciences: 5 works · 20.8% of their workComputer Science: 3 works · 10.4% of their workComputer Vision and Pattern Recognition: 3 works · 10.4% of their workEngineering: 3 works · 10.4% of their workAutomotive Engineering: 3 works · 10.4% of their workTHEIR WORKMargaret P.Munger25works
Life Sciences27%Physical Sciences21%Social Sciences27%

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. Neuroscience727.1%
    1. Psychology727.1%
  3. Everything else625.0%
    1. Computer Science310.4%
    2. Engineering310.4%
  1. 1Cognitive Neuroscience27% of their works
  2. 2Developmental and Educational Psychology10% of their works
  3. 3Computer Vision and Pattern Recognition10% of their works
  4. 4Automotive Engineering10% of their works
  5. 5Social Psychology10% of their works
  6. 6Experimental and Cognitive Psychology6% of their works

Research topics

Which keywords describe Margaret P. Munger's research?

The keywords of their largest research topics: Social Cognition, Neural Mechanisms, Neural Processing, Visual Perception, Spatial Ability, STEM Education, Child Development and Cognitive Load Theory.

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. Social Cognition93 topics
  2. Neural Mechanisms62 topics
  3. Neural Processing61 topic
  4. Visual Perception61 topic
  5. STEM Education51 topic
  6. Spatial Ability51 topic
  7. Child Development31 topic
  8. Cognitive Load Theory31 topic
  9. Embodiment31 topic
  10. Face Perception31 topic
  11. Mirror Neuron System31 topic
  12. Multimedia Learning31 topic
  13. Saliency Detection31 topic
  14. Theory of Mind31 topic
  15. Visual Attention31 topic
  16. Visual Cortex31 topic
  17. Ancient DNA11 topic
  18. Genomic Analysis11 topic

Where does Margaret P. Munger work?

Margaret P. Munger's main affiliation in the publication record is Davidson College, United States.

How many publications and citations does Margaret P. Munger have?

OpenAlex counts 25 works and 541 citations for Margaret P. Munger, an h-index of 12, ranking #3,667,384 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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