Science Explorer Back to mapMap
Discussion
Researcher · University of Malta · Malta

Dávid Melhárt

Dávid Melhárt publishes mostly in Artificial Intelligence, Experimental and Cognitive Psychology and Sociology and Political Science, on topics such as Artificial Intelligence in Games, Emotion and Mood Recognition and Digital Games and Media.

ORCID 0000-0002-2692-7061 OpenAlex
World rank
#2,452,397
of 7,710,434 ranked researchers
Rank in Malta
#246
of 946
Works
28
Citations
208
Citations per work
7.4
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Dávid Melhárt

What does Dávid Melhárt research?

Dávid Melhárt's work is mostly in Computer Science (36%), Psychology (25%), Social Sciences (12%).

Social Sciences: 10 works · 36.7% of their workPsychology: 7 works · 24.9% of their workExperimental and Cognitive Psychology: 5 works · 17.1% of their workDevelopmental and Educational Psychology: 1 works · 3.9% of their workSocial Psychology: 1 works · 3.9% of their workSocial Sciences: 3 works · 11.8% of their workSociology and Political Science: 3 works · 11.8% of their workPhysical Sciences: 10 works · 35.5% of their workComputer Science: 10 works · 35.5% of their workArtificial Intelligence: 8 works · 27.6% of their workComputer Vision and Pattern Recognition: 2 works · 7.9% of their workEverything else: 8 works · 27.8% of their workTHEIR WORKDávid Melhárt28works
Physical Sciences36%Social Sciences37%

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. Psychology724.9%
    2. Social Sciences311.8%
    1. Computer Science1035.5%
  3. Everything else827.8%
  1. 1Artificial Intelligence28% of their works
  2. 2Experimental and Cognitive Psychology17% of their works
  3. 3Sociology and Political Science12% of their works
  4. 4Computer Vision and Pattern Recognition8% of their works
  5. 5Developmental and Educational Psychology4% of their works
  6. 6Social Psychology4% of their works

Research topics

Which keywords describe Dávid Melhárt's research?

The keywords of their largest research topics: Deep Learning, Emotion Recognition, Facial Expression, Monte Carlo Tree Search, Multimodal Data, Procedural Content Generation, Online Gaming and Video Games.

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. Deep Learning153 topics
  2. Emotion Recognition132 topics
  3. Facial Expression101 topic
  4. Monte Carlo Tree Search101 topic
  5. Multimodal Data101 topic
  6. Procedural Content Generation101 topic
  7. Online Gaming91 topic
  8. Video Games91 topic
  9. Content-Based Retrieval31 topic
  10. Network Analysis31 topic
  11. Opinion Mining31 topic
  12. Psychopathology31 topic
  13. Sentiment Analysis31 topic
  14. Video Summarization31 topic
  15. Consumer Perception21 topic
  16. Neural Networks21 topic
  17. Self-Organizing Maps21 topic
  18. Sensory Analysis21 topic

Where does Dávid Melhárt work?

Dávid Melhárt's main affiliation in the publication record is University of Malta, Malta.

How many publications and citations does Dávid Melhárt have?

OpenAlex counts 28 works and 208 citations for Dávid Melhárt, an h-index of 8, ranking #2,452,397 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

Ask a question or share a note about Dávid Melhárt. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.