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Researcher · Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · Portugal

Sandra Pereira Gama

Sandra Pereira Gama publishes mostly in Developmental and Educational Psychology, Computer Vision and Pattern Recognition and Computer Science Applications, on topics such as Educational Games and Gamification, Data Visualization and Analytics and Online Learning and Analytics.

ORCID 0000-0002-9679-7004 OpenAlex
World rank
#1,483,452
of 7,710,434 ranked researchers
Rank in Portugal
#6,114
of 41,760
Works
69
Citations
1.6k
Citations per work
22.7
h-index
14
i10-index 17Top 34% in Developmental and Educational Psychology
Sandra Pereira Gama

What does Sandra Pereira Gama research?

Sandra Pereira Gama's work is mostly in Computer Science (41%), Psychology (14%), Social Sciences (10%).

Physical Sciences: 28 works · 40.6% of their workComputer Science: 28 works · 40.6% of their workComputer Vision and Pattern Recognition: 9 works · 13.2% of their workComputer Science Applications: 7 works · 10.5% of their workArtificial Intelligence: 7 works · 9.5% of their workHuman-Computer Interaction: 5 works · 7.4% of their workEverything else: 25 works · 35.7% of their workSocial Sciences: 16 works · 23.7% of their workPsychology: 9 works · 13.7% of their workDevelopmental and Educational Psychology: 9 works · 13.7% of their workSocial Sciences: 7 works · 10.0% of their workSociology and Political Science: 7 works · 10.0% of their workTHEIR WORKSandra PereiraGama69works
Physical Sciences41%Social Sciences24%

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 Science2840.6%
  2. Everything else2535.7%
    1. Psychology913.7%
    2. Social Sciences710.0%
  1. 1Developmental and Educational Psychology14% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Computer Science Applications10% of their works
  4. 4Sociology and Political Science10% of their works
  5. 5Artificial Intelligence10% of their works
  6. 6Human-Computer Interaction7% of their works

Research topics

Which keywords describe Sandra Pereira Gama's research?

The keywords of their largest research topics: Student Engagement, Learning Outcomes, Game-Based Learning, Gamification, Information Visualization, Visual Analytics, Learning Analytics and Educational Data Mining.

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. Student Engagement362 topics
  2. Learning Outcomes262 topics
  3. Game-Based Learning221 topic
  4. Gamification221 topic
  5. Information Visualization201 topic
  6. Visual Analytics201 topic
  7. Learning Analytics192 topics
  8. Educational Data Mining141 topic
  9. Massive Open Online Courses141 topic
  10. Social Interaction112 topics
  11. Automatic71 topic
  12. Extraction71 topic
  13. Online Gaming71 topic
  14. Video Games71 topic
  15. Addiction51 topic
  16. Computational Thinking51 topic
  17. Programming Education51 topic
  18. Social Media51 topic
  19. Embodiment41 topic
  20. Presence41 topic

Where does Sandra Pereira Gama work?

Sandra Pereira Gama's main affiliation in the publication record is Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal.

How many publications and citations does Sandra Pereira Gama have?

OpenAlex counts 69 works and 1,564 citations for Sandra Pereira Gama, an h-index of 14, ranking #1,483,452 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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