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Researcher · NEC (Germany) · Germany

Carolin Lawrence

Carolin Lawrence publishes mostly in Artificial Intelligence, Management Science and Operations Research and Health Informatics, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Graph Neural Networks.

OpenAlex
World rank
#5,051,693
of 7,710,434 ranked researchers
Rank in Germany
#260,925
of 364,343
Works
64
Citations
264
Citations per work
4.1
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Carolin Lawrence

What does Carolin Lawrence research?

Carolin Lawrence's work is mostly in Computer Science (77%), Decision Sciences (5%), Medicine (3%).

Physical Sciences: 49 works · 76.6% of their workComputer Science: 49 works · 76.6% of their workArtificial Intelligence: 48 works · 74.4% of their workComputer Vision and Pattern Recognition: 1 works · 2.2% of their workEverything else: 9 works · 13.4% of their workSocial Sciences: 3 works · 5.0% of their workDecision Sciences: 3 works · 5.0% of their workManagement Science and Operations Research: 2 works · 2.8% of their workInformation Systems and Management: 1 works · 2.2% of their workHealth Sciences: 2 works · 2.8% of their workMedicine: 2 works · 2.8% of their workHealth Informatics: 2 works · 2.8% of their workLife Sciences: 1 works · 2.2% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.2% of their workMolecular Biology: 1 works · 2.2% of their workTHEIR WORKCarolin Lawrence64works
Life Sciences2%Physical Sciences77%Health Sciences3%Social Sciences5%

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 Science4976.6%
  2. Everything else913.4%
    1. Decision Sciences35.0%
    1. Medicine22.8%
    1. Biochemistry, Genetics and Molecular Biology12.2%
  1. 1Artificial Intelligence74% of their works
  2. 2Management Science and Operations Research3% of their works
  3. 3Health Informatics3% of their works
  4. 4Molecular Biology2% of their works
  5. 5Computer Vision and Pattern Recognition2% of their works
  6. 6Information Systems and Management2% of their works

Research topics

Which keywords describe Carolin Lawrence's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Neural Machine Translation, Statistical Machine Translation, Semi-Supervised Learning and Machine Learning.

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 20 words, with their numbers
  1. Neural Networks442 topics
  2. Machine Translation361 topic
  3. Word Representation361 topic
  4. Deep Learning334 topics
  5. Neural Machine Translation211 topic
  6. Statistical Machine Translation211 topic
  7. Semi-Supervised Learning192 topics
  8. Machine Learning152 topics
  9. Graph Neural Networks121 topic
  10. Knowledge Graph Embedding121 topic
  11. Adversarial Examples81 topic
  12. Ontology81 topic
  13. Robustness81 topic
  14. Semantic Web81 topic
  15. Active Learning71 topic
  16. Gaussian Processes71 topic
  17. Interpretable Models71 topic
  18. Machine Learning Interpretability71 topic
  19. Electronic Health Records61 topic
  20. Healthcare61 topic

Where does Carolin Lawrence work?

Carolin Lawrence's main affiliation in the publication record is NEC (Germany), Germany.

How many publications and citations does Carolin Lawrence have?

OpenAlex counts 64 works and 264 citations for Carolin Lawrence, an h-index of 8, ranking #5,051,693 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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