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Researcher · Systems, Applications & Products in Data Processing (Germany) · Germany

Miriam Exel

Miriam Exel publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.

OpenAlex
World rank
#5,163,167
of 7,710,434 ranked researchers
Rank in Germany
#266,964
of 364,343
Works
23
Citations
99
Citations per work
4.3
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Miriam Exel

What does Miriam Exel research?

Miriam Exel's work is mostly in Computer Science (74%), Engineering (4%), Arts and Humanities (4%).

Physical Sciences: 18 works · 77.2% of their workComputer Science: 17 works · 73.7% of their workArtificial Intelligence: 12 works · 52.6% of their workComputational Theory and Mathematics: 2 works · 8.8% of their workInformation Systems: 2 works · 7.0% of their workHardware and Architecture: 1 works · 5.3% of their workEngineering: 1 works · 3.5% of their workBuilding and Construction: 1 works · 3.5% of their workEverything else: 4 works · 19.3% of their workSocial Sciences: 1 works · 3.5% of their workArts and Humanities: 1 works · 3.5% of their workLanguage and Linguistics: 1 works · 3.5% of their workTHEIR WORKMiriam Exel23works
Physical Sciences77%Social Sciences4%

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 Science1773.7%
    2. Engineering13.5%
  2. Everything else419.3%
    1. Arts and Humanities13.5%
  1. 1Artificial Intelligence53% of their works
  2. 2Computational Theory and Mathematics9% of their works
  3. 3Information Systems7% of their works
  4. 4Hardware and Architecture5% of their works
  5. 5Building and Construction4% of their works
  6. 6Language and Linguistics4% of their works

Research topics

Which keywords describe Miriam Exel's research?

The keywords of their largest research topics: Neural Machine Translation, Statistical Machine Translation, Neural Networks, Machine Translation, Word Representation, Machine Learning, Code Clone Detection and Model Checking.

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. Neural Machine Translation141 topic
  2. Statistical Machine Translation141 topic
  3. Neural Networks122 topics
  4. Machine Translation91 topic
  5. Word Representation91 topic
  6. Machine Learning62 topics
  7. Code Clone Detection31 topic
  8. Model Checking31 topic
  9. Readability Assessment31 topic
  10. Refactoring31 topic
  11. Symbolic Model Checker31 topic
  12. Text Simplification31 topic
  13. Bayesian Networks21 topic
  14. Causal Inference21 topic
  15. Continuous Queries21 topic
  16. Data Stream Management21 topic
  17. Hard Real-Time Systems21 topic
  18. Scheduling Algorithms21 topic

Where does Miriam Exel work?

Miriam Exel's main affiliation in the publication record is Systems, Applications & Products in Data Processing (Germany), Germany.

How many publications and citations does Miriam Exel have?

OpenAlex counts 23 works and 99 citations for Miriam Exel, an h-index of 5, ranking #5,163,167 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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