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Researcher · BASF (Germany) · Germany

Miriam Mathea

Miriam Mathea publishes mostly in Computational Theory and Mathematics, Materials Chemistry and Artificial Intelligence, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Imbalanced Data Classification Techniques.

ORCID 0000-0002-3214-1487 OpenAlex
World rank
#1,235,745
of 7,710,434 ranked researchers
Rank in Germany
#60,877
of 364,343
Works
49
Citations
3.3k
Citations per work
67.6
h-index
16
i10-index 21Top 21% in Computational Theory and Mathematics
Miriam Mathea

What does Miriam Mathea research?

Miriam Mathea's work is mostly in Computer Science (42%), Materials Science (17%), Biochemistry, Genetics and Molecular Biology (11%).

Physical Sciences: 30 works · 61.7% of their workComputer Science: 20 works · 41.7% of their workComputational Theory and Mathematics: 12 works · 25.0% of their workArtificial Intelligence: 8 works · 16.7% of their workMaterials Science: 8 works · 16.7% of their workMaterials Chemistry: 8 works · 16.7% of their workEngineering: 2 works · 3.3% of their workControl and Systems Engineering: 2 works · 3.3% of their workEverything else: 12 works · 24.2% of their workLife Sciences: 5 works · 10.8% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 10.8% of their workMolecular Biology: 5 works · 10.8% of their workHealth Sciences: 2 works · 3.3% of their workMedicine: 2 works · 3.3% of their workEpidemiology: 2 works · 3.3% of their workTHEIR WORKMiriam Mathea49works
Life Sciences11%Physical Sciences62%Health 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 Science2041.7%
    2. Materials Science816.7%
    3. Engineering23.3%
  2. Everything else1224.2%
    1. Biochemistry, Genetics and Molecular Biology510.8%
    1. Medicine23.3%
  1. 1Computational Theory and Mathematics25% of their works
  2. 2Materials Chemistry17% of their works
  3. 3Artificial Intelligence17% of their works
  4. 4Molecular Biology11% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Epidemiology3% of their works

Research topics

Which keywords describe Miriam Mathea's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, High-Throughput, Materials Informatics, Classification, Biomarkers and Genomics.

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. Machine Learning502 topics
  2. Molecular Docking301 topic
  3. Virtual Screening301 topic
  4. High-Throughput201 topic
  5. Materials Informatics201 topic
  6. Classification92 topics
  7. Biomarkers82 topics
  8. Genomics82 topics
  9. Imbalanced Data51 topic
  10. SMOTE51 topic
  11. Bioinformatics41 topic
  12. Education41 topic
  13. Graph Neural Networks41 topic
  14. Hyperparameter Optimization41 topic
  15. Knowledge Graph Embedding41 topic
  16. Mass Spectrometry41 topic
  17. Metabolomics41 topic
  18. Noisy Labels41 topic
  19. Sepsis41 topic
  20. Septic Shock41 topic

Where does Miriam Mathea work?

Miriam Mathea's main affiliation in the publication record is BASF (Germany), Germany.

How many publications and citations does Miriam Mathea have?

OpenAlex counts 49 works and 3,314 citations for Miriam Mathea, an h-index of 16, ranking #1,235,745 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.

Discussion

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