Science Explorer Back to mapMap
Discussion
Researcher · Jožef Stefan Institute · Slovenia

Matjaž Gams

Matjaž Gams publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Context-Aware Activity Recognition Systems, Anomaly Detection Techniques and Applications and Gait Recognition and Analysis.

ORCID 0000-0002-5747-0711 OpenAlex
World rank
#863,957
of 7,710,434 ranked researchers
Rank in Slovenia
#511
of 9,404
Works
280
Citations
4.3k
Citations per work
15.5
h-index
32
i10-index 82Top 4% in Artificial Intelligence
Matjaž Gams

What does Matjaž Gams research?

Matjaž Gams's work is mostly in Computer Science (48%), Engineering (4%).

Physical Sciences: 148 works · 52.7% of their workComputer Science: 135 works · 48.2% of their workArtificial Intelligence: 70 works · 24.9% of their workComputer Vision and Pattern Recognition: 30 works · 10.7% of their workInformation Systems: 15 works · 5.2% of their workComputer Networks and Communications: 11 works · 4.0% of their workSignal Processing: 10 works · 3.4% of their workEngineering: 13 works · 4.5% of their workBiomedical Engineering: 13 works · 4.5% of their workEverything else: 132 works · 47.3% of their workTHEIR WORKMatjaž Gams280works
Physical Sciences53%

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 Science13548.2%
    2. Engineering134.5%
  2. Everything else13247.3%
  1. 1Artificial Intelligence25% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Information Systems5% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Matjaž Gams's research?

The keywords of their largest research topics: Deep Learning, Activity Recognition, Pervasive Computing, Time Series, Anomaly Detection, Unsupervised, Machine Learning and Artificial Intelligence.

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. Deep Learning1254 topics
  2. Activity Recognition571 topic
  3. Pervasive Computing571 topic
  4. Time Series462 topics
  5. Anomaly Detection321 topic
  6. Unsupervised321 topic
  7. Machine Learning262 topics
  8. Artificial Intelligence232 topics
  9. Gait Recognition221 topic
  10. Human Identification221 topic
  11. Clustering141 topic
  12. Dynamic Time Warping141 topic
  13. Neural Machine Translation141 topic
  14. Statistical Machine Translation141 topic
  15. Data Mining131 topic
  16. Frequent Patterns131 topic
  17. Healthcare131 topic
  18. Medical Imaging131 topic
  19. Agent-Based Modeling101 topic
  20. Multi-Agent Systems101 topic

Where does Matjaž Gams work?

Matjaž Gams's main affiliation in the publication record is Jožef Stefan Institute, Slovenia.

How many publications and citations does Matjaž Gams have?

OpenAlex counts 280 works and 4,345 citations for Matjaž Gams, an h-index of 32, ranking #863,957 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 Matjaž Gams. Posts are plain text and can be reported.