Science Explorer Back to mapMap
Discussion
Researcher · Instituto de Telecomunicações · Portugal

Mário A. T. Figueiredo

Mário A. T. Figueiredo publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Sparse and Compressive Sensing Techniques, Image and Signal Denoising Methods and Advanced Image Processing Techniques.

ORCID 0000-0002-0970-7745 OpenAlex
World rank
#174,649
of 7,710,434 ranked researchers
Rank in Portugal
#405
of 41,760
Works
402
Citations
27k
Citations per work
67.4
h-index
60
i10-index 163Top 0.6% in Computer Vision and Pattern Recognition
Mário A. T. Figueiredo

What does Mário A. T. Figueiredo research?

Mário A. T. Figueiredo's work is mostly in Computer Science (54%), Engineering (18%).

Physical Sciences: 291 works · 72.3% of their workComputer Science: 216 works · 53.8% of their workComputer Vision and Pattern Recognition: 103 works · 25.6% of their workArtificial Intelligence: 98 works · 24.5% of their workSignal Processing: 15 works · 3.7% of their workEngineering: 74 works · 18.5% of their workComputational Mechanics: 35 works · 8.7% of their workMedia Technology: 23 works · 5.8% of their workBiomedical Engineering: 16 works · 4.0% of their workEverything else: 111 works · 27.7% of their workTHEIR WORKMário A. T.Figueiredo402works
Physical Sciences72%

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 Science21653.8%
    2. Engineering7418.5%
  2. Everything else11127.7%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Computational Mechanics9% of their works
  4. 4Media Technology6% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Mário A. T. Figueiredo's research?

The keywords of their largest research topics: Deep Learning, Sparse Representation, Compressed Sensing, Signal Recovery, Image Denoising, Sparse Representations, Support Vector Machines and Image.

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 19 words, with their numbers
  1. Deep Learning1824 topics
  2. Sparse Representation1543 topics
  3. Compressed Sensing871 topic
  4. Signal Recovery871 topic
  5. Image Denoising831 topic
  6. Sparse Representations831 topic
  7. Support Vector Machines612 topics
  8. Image361 topic
  9. Super-Resolution361 topic
  10. Image Segmentation331 topic
  11. Medical Image Analysis331 topic
  12. Clustering311 topic
  13. Dimensionality Reduction311 topic
  14. Face Recognition311 topic
  15. Mixture Models311 topic
  16. Hyperspectral301 topic
  17. Image Analysis301 topic
  18. Clustering Algorithms271 topic
  19. K-means271 topic

Where does Mário A. T. Figueiredo work?

Mário A. T. Figueiredo's main affiliation in the publication record is Instituto de Telecomunicações, Portugal.

How many publications and citations does Mário A. T. Figueiredo have?

OpenAlex counts 402 works and 27,077 citations for Mário A. T. Figueiredo, an h-index of 60, ranking #174,649 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 Mário A. T. Figueiredo. 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.