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Researcher · Fujitsu (China) · China

Omer Hofman

Omer Hofman publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Topic Modeling and Anomaly Detection Techniques and Applications.

ORCID 0009-0006-0136-9792 OpenAlex
World rank
#3,091,384
of 7,710,434 ranked researchers
Rank in China
#486,087
of 978,568
Works
27
Citations
25
Citations per work
0.9
h-index
3
i10-index 0Top 95% in Artificial Intelligence
Omer Hofman

What does Omer Hofman research?

Omer Hofman's work is mostly in Computer Science (82%), Biochemistry, Genetics and Molecular Biology (3%), Social Sciences (3%).

Physical Sciences: 22 works · 81.7% of their workComputer Science: 22 works · 81.7% of their workArtificial Intelligence: 13 works · 49.3% of their workInformation Systems: 4 works · 15.5% of their workComputer Vision and Pattern Recognition: 4 works · 14.1% of their workSignal Processing: 1 works · 2.8% of their workEverything else: 3 works · 12.7% of their workLife Sciences: 1 works · 2.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.8% of their workMolecular Biology: 1 works · 2.8% of their workSocial Sciences: 1 works · 2.8% of their workSocial Sciences: 1 works · 2.8% of their workSociology and Political Science: 1 works · 2.8% of their workTHEIR WORKOmer Hofman27works
Life Sciences3%Physical Sciences82%Social 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 Science2281.7%
  2. Everything else312.7%
    1. Biochemistry, Genetics and Molecular Biology12.8%
    1. Social Sciences12.8%
  1. 1Artificial Intelligence49% of their works
  2. 2Information Systems16% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Signal Processing3% of their works
  5. 5Sociology and Political Science3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Omer Hofman's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Learning, Adversarial Examples, Robustness, Machine Translation, Word Representation and Anomaly Detection.

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. Neural Networks204 topics
  2. Deep Learning153 topics
  3. Machine Learning112 topics
  4. Adversarial Examples81 topic
  5. Robustness81 topic
  6. Machine Translation51 topic
  7. Word Representation51 topic
  8. Anomaly Detection41 topic
  9. SQL Injection41 topic
  10. Static Analysis41 topic
  11. Unsupervised41 topic
  12. Agent-Based Modeling31 topic
  13. Generative Adversarial Networks31 topic
  14. Image Synthesis31 topic
  15. Multi-Agent Systems31 topic
  16. Phishing31 topic
  17. Spam Detection31 topic
  18. Anthrax21 topic
  19. Tularemia21 topic

Where does Omer Hofman work?

Omer Hofman's main affiliation in the publication record is Fujitsu (China), China.

How many publications and citations does Omer Hofman have?

OpenAlex counts 27 works and 25 citations for Omer Hofman, an h-index of 3, ranking #3,091,384 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

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