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Researcher · Universidade Federal de Uberlândia · Brazil

Rita Maria Silva Julia

Rita Maria Silva Julia publishes mostly in Artificial Intelligence, Economics and Econometrics and Computer Vision and Pattern Recognition, on topics such as Artificial Intelligence in Games, Reinforcement Learning in Robotics and Sports Analytics and Performance.

ORCID 0000-0001-5181-5451 OpenAlex
World rank
#5,413,135
of 7,710,434 ranked researchers
Rank in Brazil
#112,297
of 253,246
Works
45
Citations
197
Citations per work
4.4
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Rita Maria Silva Julia

What does Rita Maria Silva Julia research?

Rita Maria Silva Julia's work is mostly in Computer Science (68%), Economics, Econometrics and Finance (6%).

Physical Sciences: 30 works · 67.6% of their workComputer Science: 30 works · 67.6% of their workArtificial Intelligence: 21 works · 47.6% of their workComputer Vision and Pattern Recognition: 3 works · 5.6% of their workInformation Systems: 3 works · 5.6% of their workSignal Processing: 2 works · 4.8% of their workComputational Theory and Mathematics: 2 works · 4.0% of their workEverything else: 12 works · 25.9% of their workSocial Sciences: 3 works · 6.5% of their workEconomics, Econometrics and Finance: 3 works · 6.5% of their workEconomics and Econometrics: 3 works · 6.5% of their workTHEIR WORKRita Maria SilvaJulia45works
Physical Sciences68%Social Sciences6%

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 Science3067.6%
  2. Everything else1225.9%
    1. Economics, Econometrics and Finance36.5%
  1. 1Artificial Intelligence48% of their works
  2. 2Economics and Econometrics6% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Information Systems6% of their works
  5. 5Signal Processing5% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Rita Maria Silva Julia's research?

The keywords of their largest research topics: Monte Carlo Tree Search, Procedural Content Generation, Deep Learning, Evolutionary Algorithms, Machine Learning, Neural Networks, Reinforcement Learning and Competitive Balance.

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.

All 19 words, with their numbers
  1. Monte Carlo Tree Search241 topic
  2. Procedural Content Generation241 topic
  3. Deep Learning152 topics
  4. Evolutionary Algorithms122 topics
  5. Machine Learning122 topics
  6. Neural Networks101 topic
  7. Reinforcement Learning101 topic
  8. Competitive Balance81 topic
  9. Prediction Markets81 topic
  10. Classification71 topic
  11. Genetic Programming71 topic
  12. Clustering51 topic
  13. Content-Based Retrieval51 topic
  14. Data Mining51 topic
  15. Differential Evolution51 topic
  16. Frequent Patterns51 topic
  17. Particle Swarm Optimization51 topic
  18. Time Series51 topic
  19. Video Summarization51 topic

Where does Rita Maria Silva Julia work?

Rita Maria Silva Julia's main affiliation in the publication record is Universidade Federal de Uberlândia, Brazil.

How many publications and citations does Rita Maria Silva Julia have?

OpenAlex counts 45 works and 197 citations for Rita Maria Silva Julia, an h-index of 6, ranking #5,413,135 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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