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Researcher · Honda (Japan) · Japan

Viktor Losing

Viktor Losing publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition, on topics such as Data Stream Mining Techniques, Machine Learning and Data Classification and Anomaly Detection Techniques and Applications.

ORCID 0000-0002-7444-1904 OpenAlex
World rank
#3,103,252
of 7,710,434 ranked researchers
Rank in Japan
#70,677
of 383,136
Works
29
Citations
878
Citations per work
30.3
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Viktor Losing

What does Viktor Losing research?

Viktor Losing's work is mostly in Computer Science (66%), Engineering (11%), Decision Sciences (9%).

Physical Sciences: 22 works · 76.8% of their workComputer Science: 19 works · 66.1% of their workArtificial Intelligence: 15 works · 51.8% of their workComputer Vision and Pattern Recognition: 3 works · 8.9% of their workComputer Networks and Communications: 2 works · 5.4% of their workEngineering: 3 works · 10.7% of their workBiomedical Engineering: 2 works · 7.1% of their workAutomotive Engineering: 1 works · 3.6% of their workEverything else: 4 works · 14.3% of their workSocial Sciences: 3 works · 8.9% of their workDecision Sciences: 3 works · 8.9% of their workManagement Science and Operations Research: 3 works · 8.9% of their workTHEIR WORKViktor Losing29works
Physical Sciences77%Social Sciences9%

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 Science1966.1%
    2. Engineering310.7%
  2. Everything else414.3%
    1. Decision Sciences38.9%
  1. 1Artificial Intelligence52% of their works
  2. 2Management Science and Operations Research9% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Biomedical Engineering7% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Automotive Engineering4% of their works

Research topics

Which keywords describe Viktor Losing's research?

The keywords of their largest research topics: Online Learning, Hyperparameter Optimization, Concept Drift, Data Streams, Instance Selection, Noisy Labels, Deep Learning and Neural Networks.

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. Online Learning152 topics
  2. Hyperparameter Optimization142 topics
  3. Concept Drift101 topic
  4. Data Streams101 topic
  5. Instance Selection91 topic
  6. Noisy Labels91 topic
  7. Deep Learning72 topics
  8. Neural Networks72 topics
  9. Anomaly Detection51 topic
  10. Bandit Optimization51 topic
  11. Bayesian Optimization51 topic
  12. Unsupervised51 topic
  13. Action Recognition21 topic
  14. Caching21 topic
  15. Information-Centric Networking21 topic
  16. Machine Translation21 topic
  17. Pose Estimation21 topic
  18. Word Representation21 topic
  19. Cross-modal Plasticity11 topic
  20. Tactile Perception11 topic

Where does Viktor Losing work?

Viktor Losing's main affiliation in the publication record is Honda (Japan), Japan.

How many publications and citations does Viktor Losing have?

OpenAlex counts 29 works and 878 citations for Viktor Losing, an h-index of 9, ranking #3,103,252 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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