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Researcher · Ludwig-Maximilians-Universität München · Germany

Simon Tietze

Simon Tietze publishes mostly in Molecular Biology, Computational Theory and Mathematics and Modeling and Simulation, on topics such as Computational Drug Discovery Methods, Protein Structure and Dynamics and COVID-19 epidemiological studies.

OpenAlex
World rank
#1,837,991
of 7,710,434 ranked researchers
Rank in Germany
#90,701
of 364,343
Works
16
Citations
859
Citations per work
53.7
h-index
10
i10-index 10Top 76% in Molecular Biology
Simon Tietze

What does Simon Tietze research?

Simon Tietze's work is mostly in Biochemistry, Genetics and Molecular Biology (24%), Computer Science (10%), Mathematics (7%).

Everything else: 7 works · 45.2% of their workLife Sciences: 4 works · 23.8% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 23.8% of their workMolecular Biology: 4 works · 23.8% of their workPhysical Sciences: 3 works · 21.4% of their workComputer Science: 2 works · 9.5% of their workComputational Theory and Mathematics: 2 works · 9.5% of their workMathematics: 1 works · 7.1% of their workModeling and Simulation: 1 works · 7.1% of their workChemistry: 1 works · 4.8% of their workSpectroscopy: 1 works · 4.8% of their workSocial Sciences: 2 works · 9.6% of their workEconomics, Econometrics and Finance: 1 works · 4.8% of their workEconomics and Econometrics: 1 works · 4.8% of their workPsychology: 1 works · 4.8% of their workClinical Psychology: 1 works · 4.8% of their workTHEIR WORKSimon Tietze16works
Life Sciences24%Physical Sciences21%Social Sciences10%

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. Everything else745.2%
    1. Biochemistry, Genetics and Molecular Biology423.8%
    1. Computer Science29.5%
    2. Mathematics17.1%
    3. Chemistry14.8%
    1. Economics, Econometrics and Finance14.8%
    2. Psychology14.8%
  1. 1Molecular Biology24% of their works
  2. 2Computational Theory and Mathematics10% of their works
  3. 3Modeling and Simulation7% of their works
  4. 4Spectroscopy5% of their works
  5. 5Economics and Econometrics5% of their works
  6. 6Clinical Psychology5% of their works

Research topics

Which keywords describe Simon Tietze's research?

The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Molecular Docking, Virtual Screening, COVID-19, Modeling, Protein and Structure.

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. Machine Learning62 topics
  2. Molecular Dynamics52 topics
  3. Molecular Docking41 topic
  4. Virtual Screening41 topic
  5. COVID-1931 topic
  6. Modeling31 topic
  7. Protein31 topic
  8. Structure31 topic
  9. Brain-Computer Interfaces21 topic
  10. Chiral Separation21 topic
  11. DNA21 topic
  12. Drug Discovery21 topic
  13. EEG Analysis21 topic
  14. High-Throughput21 topic
  15. Liquid Chromatography21 topic
  16. Materials Informatics21 topic
  17. Peptide Synthesis21 topic
  18. Topoisomerases21 topic

Where does Simon Tietze work?

Simon Tietze's main affiliation in the publication record is Ludwig-Maximilians-Universität München, Germany.

How many publications and citations does Simon Tietze have?

OpenAlex counts 16 works and 859 citations for Simon Tietze, an h-index of 10, ranking #1,837,991 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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