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Researcher · BioNTech (Germany) · Germany

Karim Beguir

Karim Beguir publishes mostly in Molecular Biology, Artificial Intelligence and Infectious Diseases, on topics such as Reinforcement Learning in Robotics, Genomics and Phylogenetic Studies and RNA and protein synthesis mechanisms.

ORCID 0000-0002-2789-6527 OpenAlex
World rank
#942,035
of 7,710,434 ranked researchers
Rank in Germany
#46,412
of 364,343
Works
46
Citations
1.2k
Citations per work
26.7
h-index
13
i10-index 19Top 59% in Molecular Biology
Karim Beguir

What does Karim Beguir research?

Karim Beguir's work is mostly in Biochemistry, Genetics and Molecular Biology (36%), Computer Science (26%), Medicine (5%).

Life Sciences: 17 works · 36.1% of their workBiochemistry, Genetics and Molecular Biology: 17 works · 36.1% of their workMolecular Biology: 17 works · 36.1% of their workPhysical Sciences: 15 works · 33.2% of their workComputer Science: 12 works · 25.6% of their workArtificial Intelligence: 12 works · 25.6% of their workChemistry: 2 works · 3.8% of their workSpectroscopy: 2 works · 3.8% of their workEngineering: 2 works · 3.8% of their workControl and Systems Engineering: 2 works · 3.8% of their workEverything else: 11 works · 23.1% of their workHealth Sciences: 2 works · 5.3% of their workMedicine: 2 works · 5.3% of their workInfectious Diseases: 2 works · 5.3% of their workSocial Sciences: 1 works · 2.3% of their workSocial Sciences: 1 works · 2.3% of their workSociology and Political Science: 1 works · 2.3% of their workTHEIR WORKKarim Beguir46works
Life Sciences36%Physical Sciences33%Health Sciences5%Social Sciences2%

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 Biology1736.1%
    1. Computer Science1225.6%
    2. Chemistry23.8%
    3. Engineering23.8%
  3. Everything else1123.1%
    1. Medicine25.3%
    1. Social Sciences12.3%
  1. 1Molecular Biology36% of their works
  2. 2Artificial Intelligence26% of their works
  3. 3Infectious Diseases5% of their works
  4. 4Control and Systems Engineering4% of their works
  5. 5Spectroscopy4% of their works
  6. 6Sociology and Political Science2% of their works

Research topics

Which keywords describe Karim Beguir's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Machine Learning, Ribosome, RNA-Seq, sequence alignment and Translation.

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. Deep Learning202 topics
  2. Neural Networks161 topic
  3. Reinforcement Learning161 topic
  4. Machine Learning122 topics
  5. RNA-Seq101 topic
  6. Ribosome101 topic
  7. Translation101 topic
  8. sequence alignment101 topic
  9. Protein81 topic
  10. Subcellular Localization81 topic
  11. Epitope Prediction71 topic
  12. Peptide-MHC Binding71 topic
  13. Coronavirus51 topic
  14. SARS-CoV-251 topic
  15. Classification41 topic
  16. Genetic Programming41 topic
  17. Grasping41 topic
  18. Robot Learning41 topic

Where does Karim Beguir work?

Karim Beguir's main affiliation in the publication record is BioNTech (Germany), Germany.

How many publications and citations does Karim Beguir have?

OpenAlex counts 46 works and 1,226 citations for Karim Beguir, an h-index of 13, ranking #942,035 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.

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