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Researcher · Universidade Federal de Minas Gerais · Brazil

Daniel Xavier de Sousa

Daniel Xavier de Sousa publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Advanced Image and Video Retrieval Techniques, Machine Learning and Data Classification and Text and Document Classification Technologies.

ORCID 0000-0002-9426-9988 OpenAlex
World rank
#4,112,046
of 7,710,434 ranked researchers
Rank in Brazil
#62,494
of 253,246
Works
21
Citations
131
Citations per work
6.2
h-index
7
i10-index 5Top 65% in Artificial Intelligence
Daniel Xavier de Sousa

What does Daniel Xavier de Sousa research?

Daniel Xavier de Sousa's work is mostly in Computer Science (78%), Decision Sciences (8%).

Physical Sciences: 16 works · 78.3% of their workComputer Science: 16 works · 78.3% of their workArtificial Intelligence: 8 works · 38.3% of their workComputer Vision and Pattern Recognition: 3 works · 15.0% of their workInformation Systems: 2 works · 11.7% of their workComputer Networks and Communications: 2 works · 8.3% of their workSignal Processing: 1 works · 5.0% of their workEverything else: 3 works · 13.4% of their workSocial Sciences: 2 works · 8.3% of their workDecision Sciences: 2 works · 8.3% of their workManagement Science and Operations Research: 2 works · 8.3% of their workTHEIR WORKDaniel Xavier deSousa21works
Physical Sciences78%Social Sciences8%

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 Science1678.3%
  2. Everything else313.4%
    1. Decision Sciences28.3%
  1. 1Artificial Intelligence38% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Information Systems12% of their works
  4. 4Management Science and Operations Research8% of their works
  5. 5Computer Networks and Communications8% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Daniel Xavier de Sousa's research?

The keywords of their largest research topics: Deep Learning, Feature Matching, Information Retrieval, Local Descriptors, Text Classification, Feature Selection, Hyperparameter Optimization and Multi-label Learning.

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. Deep Learning82 topics
  2. Feature Matching61 topic
  3. Information Retrieval62 topics
  4. Local Descriptors61 topic
  5. Text Classification62 topics
  6. Feature Selection41 topic
  7. Hyperparameter Optimization41 topic
  8. Multi-label Learning41 topic
  9. Noisy Labels41 topic
  10. Data Cleaning31 topic
  11. GPS Trajectories31 topic
  12. Record Linkage31 topic
  13. Trajectory Data Mining31 topic
  14. Active Learning21 topic
  15. Continuous Queries21 topic
  16. Data Stream Management21 topic
  17. Machine Learning21 topic
  18. Neural Networks21 topic
  19. Word Representation21 topic

Where does Daniel Xavier de Sousa work?

Daniel Xavier de Sousa's main affiliation in the publication record is Universidade Federal de Minas Gerais, Brazil.

How many publications and citations does Daniel Xavier de Sousa have?

OpenAlex counts 21 works and 131 citations for Daniel Xavier de Sousa, an h-index of 7, ranking #4,112,046 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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