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Researcher · Google (United States) · United States

Julian Martin Eisenschlos

Julian Martin Eisenschlos publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, on topics such as Natural Language Processing Techniques, Topic Modeling and Multimodal Machine Learning Applications.

OpenAlex
World rank
#2,381,953
of 7,710,434 ranked researchers
Rank in United States
#707,242
of 1,627,098
Works
50
Citations
1.3k
Citations per work
26.8
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Julian Martin Eisenschlos

What does Julian Martin Eisenschlos research?

Julian Martin Eisenschlos's work is mostly in Computer Science (81%), Decision Sciences (10%), Psychology (2%).

Physical Sciences: 41 works · 82.0% of their workComputer Science: 40 works · 80.6% of their workArtificial Intelligence: 29 works · 58.3% of their workComputer Vision and Pattern Recognition: 9 works · 18.8% of their workInformation Systems: 2 works · 3.5% of their workMathematics: 1 works · 1.4% of their workApplied Mathematics: 1 works · 1.4% of their workSocial Sciences: 6 works · 12.5% of their workDecision Sciences: 5 works · 10.4% of their workManagement Science and Operations Research: 5 works · 10.4% of their workPsychology: 1 works · 2.1% of their workExperimental and Cognitive Psychology: 1 works · 2.1% of their workEverything else: 3 works · 5.5% of their workTHEIR WORKJulian MartinEisenschlos50works
Physical Sciences82%Social Sciences12%

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 Science4080.6%
    2. Mathematics11.4%
    1. Decision Sciences510.4%
    2. Psychology12.1%
  3. Everything else35.5%
  1. 1Artificial Intelligence58% of their works
  2. 2Computer Vision and Pattern Recognition19% of their works
  3. 3Management Science and Operations Research10% of their works
  4. 4Information Systems4% of their works
  5. 5Experimental and Cognitive Psychology2% of their works
  6. 6Applied Mathematics1% of their works

Research topics

Which keywords describe Julian Martin Eisenschlos's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Word Representation, Deep Learning, Image Captioning and Visual Question Answering.

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. Neural Networks594 topics
  2. Neural Machine Translation331 topic
  3. Statistical Machine Translation331 topic
  4. Machine Translation311 topic
  5. Word Representation311 topic
  6. Deep Learning202 topics
  7. Image Captioning171 topic
  8. Visual Question Answering171 topic
  9. Data Cleaning151 topic
  10. Record Linkage151 topic
  11. Automatic81 topic
  12. Extraction81 topic
  13. Domain Adaptation31 topic
  14. Feature Matching31 topic
  15. Local Descriptors31 topic
  16. Readability Assessment31 topic
  17. Text Simplification31 topic
  18. Transfer Learning31 topic

Where does Julian Martin Eisenschlos work?

Julian Martin Eisenschlos's main affiliation in the publication record is Google (United States), United States.

How many publications and citations does Julian Martin Eisenschlos have?

OpenAlex counts 50 works and 1,341 citations for Julian Martin Eisenschlos, an h-index of 12, ranking #2,381,953 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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