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Researcher · Bayer (Germany) · Germany

Joerg Wichard

Joerg Wichard publishes mostly in Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, on topics such as Computational Drug Discovery Methods, Carcinogens and Genotoxicity Assessment and Neural Networks and Applications.

ORCID 0000-0002-6846-7446 OpenAlex
World rank
#639,490
of 7,710,434 ranked researchers
Rank in Germany
#31,462
of 364,343
Works
61
Citations
2.4k
Citations per work
39.5
h-index
26
i10-index 39Top 7.4% in Computational Theory and Mathematics
Joerg Wichard

What does Joerg Wichard research?

Joerg Wichard's work is mostly in Computer Science (35%), Biochemistry, Genetics and Molecular Biology (19%), Materials Science (3%).

Everything else: 26 works · 43.0% of their workPhysical Sciences: 23 works · 38.4% of their workComputer Science: 21 works · 35.1% of their workComputational Theory and Mathematics: 11 works · 18.1% of their workArtificial Intelligence: 8 works · 13.2% of their workSignal Processing: 2 works · 3.8% of their workMaterials Science: 2 works · 3.3% of their workMaterials Chemistry: 2 works · 3.3% of their workLife Sciences: 11 works · 18.6% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 18.6% of their workMolecular Biology: 7 works · 11.5% of their workCancer Research: 4 works · 7.1% of their workTHEIR WORKJoerg Wichard61works
Life Sciences19%Physical Sciences38%

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 else2643.0%
    1. Computer Science2135.1%
    2. Materials Science23.3%
    1. Biochemistry, Genetics and Molecular Biology1118.6%
  1. 1Computational Theory and Mathematics18% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Molecular Biology12% of their works
  4. 4Cancer Research7% of their works
  5. 5Signal Processing4% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Joerg Wichard's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Deep Learning, Comet Assay, Genotoxicity Testing, Neural Networks and Self-Organizing Maps.

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. Machine Learning423 topics
  2. Molecular Docking301 topic
  3. Virtual Screening301 topic
  4. Deep Learning253 topics
  5. Comet Assay131 topic
  6. Genotoxicity Testing131 topic
  7. Neural Networks121 topic
  8. Self-Organizing Maps121 topic
  9. Clustering71 topic
  10. Time Series71 topic
  11. Bioimage Analysis61 topic
  12. High-Content Screening61 topic
  13. High-Throughput61 topic
  14. Materials Informatics61 topic
  15. ARRIVE Guidelines51 topic
  16. Animal Research Reporting51 topic
  17. Drug Discovery51 topic
  18. Peptide Synthesis51 topic

Where does Joerg Wichard work?

Joerg Wichard's main affiliation in the publication record is Bayer (Germany), Germany.

How many publications and citations does Joerg Wichard have?

OpenAlex counts 61 works and 2,411 citations for Joerg Wichard, an h-index of 26, ranking #639,490 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.

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