Science Explorer Back to mapMap
Discussion
Researcher · Simula Research Laboratory · Norway

Michael Riegler

Michael Riegler publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques and Video Analysis and Summarization.

ORCID 0000-0002-6937-986X OpenAlex
World rank
#3,089,627
of 7,710,434 ranked researchers
Rank in Norway
#18,681
of 33,005
Works
100
Citations
682
Citations per work
6.8
h-index
14
i10-index 22Top 27% in Computer Vision and Pattern Recognition
Michael Riegler

What does Michael Riegler research?

Michael Riegler's work is mostly in Computer Science (60%), Medicine (3%).

Physical Sciences: 60 works · 60.5% of their workComputer Science: 60 works · 60.5% of their workComputer Vision and Pattern Recognition: 24 works · 24.2% of their workArtificial Intelligence: 20 works · 20.4% of their workComputer Networks and Communications: 9 works · 9.1% of their workInformation Systems: 3 works · 3.4% of their workSignal Processing: 3 works · 3.4% of their workEverything else: 37 works · 36.9% of their workHealth Sciences: 3 works · 2.6% of their workMedicine: 3 works · 2.6% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 2.6% of their workTHEIR WORKMichael Riegler100works
Physical Sciences60%Health Sciences3%

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 Science6060.5%
  2. Everything else3736.9%
    1. Medicine32.6%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Computer Networks and Communications9% of their works
  4. 4Information Systems3% of their works
  5. 5Signal Processing3% of their works
  6. 6Radiology, Nuclear Medicine and Imaging3% of their works

Research topics

Which keywords describe Michael Riegler's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Image Captioning, Visual Question Answering, Content-Based Retrieval, Feature Matching, Local Descriptors 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. 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 18 words, with their numbers
  1. Deep Learning374 topics
  2. Machine Learning284 topics
  3. Image Captioning131 topic
  4. Visual Question Answering131 topic
  5. Content-Based Retrieval101 topic
  6. Feature Matching101 topic
  7. Local Descriptors101 topic
  8. Video Summarization101 topic
  9. Content-Based Image Retrieval81 topic
  10. Shape Matching81 topic
  11. Histopathology Images71 topic
  12. Intrusion Detection71 topic
  13. Medical Image Analysis71 topic
  14. Network Security71 topic
  15. Autonomic Computing61 topic
  16. Cyber-Physical Systems61 topic
  17. Self-Adaptive Systems61 topic
  18. Smart Grid61 topic

Where does Michael Riegler work?

Michael Riegler's main affiliation in the publication record is Simula Research Laboratory, Norway.

How many publications and citations does Michael Riegler have?

OpenAlex counts 100 works and 682 citations for Michael Riegler, an h-index of 14, ranking #3,089,627 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 Michael Riegler. 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.