Science Explorer Back to mapMap
Discussion
Researcher · Universidade Estadual de Campinas (UNICAMP) · Brazil

Siome Klein Goldenstein

Siome Klein Goldenstein publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Image and Video Retrieval Techniques, Digital Media Forensic Detection and Video Analysis and Summarization.

OpenAlex
World rank
#334,307
of 7,710,434 ranked researchers
Rank in Brazil
#1,429
of 253,246
Works
116
Citations
3.1k
Citations per work
26.9
h-index
30
i10-index 65Top 5.1% in Computer Vision and Pattern Recognition
Siome Klein Goldenstein

What does Siome Klein Goldenstein research?

Siome Klein Goldenstein's work is mostly in Computer Science (64%), Engineering (3%), Neuroscience (2%).

Physical Sciences: 78 works · 66.9% of their workComputer Science: 74 works · 64.2% of their workComputer Vision and Pattern Recognition: 56 works · 48.2% of their workArtificial Intelligence: 10 works · 8.7% of their workSignal Processing: 5 works · 4.3% of their workHuman-Computer Interaction: 3 works · 3.0% of their workEngineering: 3 works · 2.7% of their workComputational Mechanics: 3 works · 2.7% of their workEverything else: 36 works · 30.8% of their workLife Sciences: 3 works · 2.3% of their workNeuroscience: 3 works · 2.3% of their workCognitive Neuroscience: 3 works · 2.3% of their workTHEIR WORKSiome KleinGoldenstein116works
Life Sciences2%Physical Sciences67%

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 Science7464.2%
    2. Engineering32.7%
  2. Everything else3630.8%
    1. Neuroscience32.3%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Signal Processing4% of their works
  4. 4Human-Computer Interaction3% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Siome Klein Goldenstein's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Digital Forensics, Feature Matching, Image Forgery Detection, Local Descriptors, Content-Based Retrieval and Video Summarization.

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 18 words, with their numbers
  1. Deep Learning625 topics
  2. Convolutional Networks212 topics
  3. Digital Forensics171 topic
  4. Feature Matching171 topic
  5. Image Forgery Detection171 topic
  6. Local Descriptors171 topic
  7. Content-Based Retrieval141 topic
  8. Video Summarization141 topic
  9. Depth Estimation111 topic
  10. Stereo Vision111 topic
  11. Action Recognition101 topic
  12. Content-Based Image Retrieval101 topic
  13. Object Tracking101 topic
  14. Pose Estimation101 topic
  15. Shape Matching101 topic
  16. Visual Tracking101 topic
  17. Anomaly Detection81 topic
  18. Unsupervised81 topic

Where does Siome Klein Goldenstein work?

Siome Klein Goldenstein's main affiliation in the publication record is Universidade Estadual de Campinas (UNICAMP), Brazil.

How many publications and citations does Siome Klein Goldenstein have?

OpenAlex counts 116 works and 3,117 citations for Siome Klein Goldenstein, an h-index of 30, ranking #334,307 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.

Discussion

Ask a question or share a note about Siome Klein Goldenstein. Posts are plain text and can be reported.