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Researcher · Universidade Nova de Lisboa · Portugal

Ricardo Almeida Silva

Ricardo Almeida Silva publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Data Management and Algorithms, Geographic Information Systems Studies and Data Visualization and Analytics.

ORCID 0000-0001-5187-8604 OpenAlex
World rank
#4,449,971
of 7,710,434 ranked researchers
Rank in Portugal
#22,458
of 41,760
Works
31
Citations
197
Citations per work
6.4
h-index
7
i10-index 5Top 69% in Computer Vision and Pattern Recognition
Ricardo Almeida Silva

What does Ricardo Almeida Silva research?

Ricardo Almeida Silva's work is mostly in Computer Science (45%), Social Sciences (11%), Engineering (6%).

Physical Sciences: 16 works · 50.6% of their workComputer Science: 14 works · 45.1% of their workComputer Vision and Pattern Recognition: 5 works · 16.5% of their workSignal Processing: 5 works · 15.4% of their workArtificial Intelligence: 4 works · 13.2% of their workEngineering: 2 works · 5.5% of their workControl and Systems Engineering: 2 works · 5.5% of their workEverything else: 11 works · 35.1% of their workSocial Sciences: 4 works · 14.3% of their workSocial Sciences: 3 works · 11.0% of their workGeography, Planning and Development: 3 works · 11.0% of their workDecision Sciences: 1 works · 3.3% of their workManagement Science and Operations Research: 1 works · 3.3% of their workTHEIR WORKRicardo AlmeidaSilva31works
Physical Sciences51%Social Sciences14%

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 Science1445.1%
    2. Engineering25.5%
  2. Everything else1135.1%
    1. Social Sciences311.0%
    2. Decision Sciences13.3%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Signal Processing15% of their works
  3. 3Artificial Intelligence13% of their works
  4. 4Geography, Planning and Development11% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe Ricardo Almeida Silva's research?

The keywords of their largest research topics: GPS Trajectories, Trajectory Data Mining, Citizen Science, Big Data, Geospatial Crowdsourcing, Volunteered Geographic Information, Information Visualization and Visual Analytics.

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 20 words, with their numbers
  1. GPS Trajectories141 topic
  2. Trajectory Data Mining141 topic
  3. Citizen Science122 topics
  4. Big Data112 topics
  5. Geospatial Crowdsourcing101 topic
  6. Volunteered Geographic Information101 topic
  7. Information Visualization91 topic
  8. Visual Analytics91 topic
  9. Deep Learning83 topics
  10. Time Series Analysis42 topics
  11. Convolutional Neural Networks31 topic
  12. Grasping31 topic
  13. Image Recognition31 topic
  14. Robot Learning31 topic
  15. Climate Change21 topic
  16. R language21 topic
  17. Short-Term Forecasting21 topic
  18. Species Distribution Modeling21 topic
  19. Statistical Analysis21 topic
  20. Traffic Flow21 topic

Where does Ricardo Almeida Silva work?

Ricardo Almeida Silva's main affiliation in the publication record is Universidade Nova de Lisboa, Portugal.

How many publications and citations does Ricardo Almeida Silva have?

OpenAlex counts 31 works and 197 citations for Ricardo Almeida Silva, an h-index of 7, ranking #4,449,971 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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