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Researcher · Heidelberg Institute for Theoretical Studies · Germany

Martin Golebiewski

Martin Golebiewski publishes mostly in Molecular Biology, Information Systems and Management and Information Systems, on topics such as Bioinformatics and Genomic Networks, Scientific Computing and Data Management and Gene Regulatory Network Analysis.

ORCID 0000-0002-8683-7084 OpenAlex
World rank
#657,720
of 7,710,434 ranked researchers
Rank in Germany
#32,405
of 364,343
Works
108
Citations
2.8k
Citations per work
26.1
h-index
22
i10-index 40Top 28% in Molecular Biology
Martin Golebiewski

What does Martin Golebiewski research?

Martin Golebiewski's work is mostly in Biochemistry, Genetics and Molecular Biology (59%), Decision Sciences (15%), Computer Science (11%).

Life Sciences: 64 works · 59.0% of their workBiochemistry, Genetics and Molecular Biology: 64 works · 59.0% of their workMolecular Biology: 61 works · 56.3% of their workBiophysics: 3 works · 2.7% of their workSocial Sciences: 16 works · 15.2% of their workDecision Sciences: 16 works · 15.2% of their workInformation Systems and Management: 14 works · 13.3% of their workManagement Science and Operations Research: 2 works · 1.9% of their workEverything else: 16 works · 14.8% of their workPhysical Sciences: 12 works · 11.0% of their workComputer Science: 12 works · 11.0% of their workInformation Systems: 9 works · 8.0% of their workComputational Theory and Mathematics: 3 works · 3.0% of their workTHEIR WORKMartinGolebiewski108works
Life Sciences59%Physical Sciences11%Social Sciences15%

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. Biochemistry, Genetics and Molecular Biology6459.0%
    1. Decision Sciences1615.2%
  3. Everything else1614.8%
    1. Computer Science1211.0%
  1. 1Molecular Biology56% of their works
  2. 2Information Systems and Management13% of their works
  3. 3Information Systems8% of their works
  4. 4Computational Theory and Mathematics3% of their works
  5. 5Biophysics3% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Martin Golebiewski's research?

The keywords of their largest research topics: Synthetic Biology, Bioinformatics, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Reproducibility, Scientific Workflows, Gene Regulatory Networks and Stochastic Gene Expression.

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. Synthetic Biology622 topics
  2. Bioinformatics442 topics
  3. Gene Set Enrichment Analysis411 topic
  4. Protein-Protein Interaction Networks411 topic
  5. Reproducibility351 topic
  6. Scientific Workflows351 topic
  7. Gene Regulatory Networks341 topic
  8. Stochastic Gene Expression341 topic
  9. Genome-Scale Models281 topic
  10. Metabolic Engineering281 topic
  11. Biomedical Ontologies261 topic
  12. Text Mining261 topic
  13. Data Sharing211 topic
  14. Scientific Data Management211 topic
  15. Education91 topic
  16. Training91 topic
  17. Molecular Docking81 topic
  18. Virtual Screening81 topic

Where does Martin Golebiewski work?

Martin Golebiewski's main affiliation in the publication record is Heidelberg Institute for Theoretical Studies, Germany.

How many publications and citations does Martin Golebiewski have?

OpenAlex counts 108 works and 2,820 citations for Martin Golebiewski, an h-index of 22, ranking #657,720 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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