Frank Lemke
Frank Lemke publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Statistical and Computational Modeling, Computational Drug Discovery Methods and Analytical Chemistry and Chromatography.
- World rank
- #3,823,510 of 7,710,434 ranked researchers
- Rank in Germany
- #191,791 of 364,343
- Works
- 28
- Citations
- 342
- Citations per work
- 12.2
What does Frank Lemke research?
Frank Lemke's work is mostly in Computer Science (32%), Decision Sciences (9%), Chemistry (7%).
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
- Physical Sciences1449.2%
- Computer Science932.2%
- Chemistry26.8%
- Engineering15.1%
- Materials Science15.1%
- Everything else1242.3%
- Social Sciences28.5%
- Decision Sciences28.5%
- 1Artificial Intelligence20% of their works
- 2Computational Theory and Mathematics12% of their works
- 3Management Science and Operations Research8% of their works
- 4Spectroscopy7% of their works
- 5Materials Chemistry5% of their works
- 6Control and Systems Engineering5% of their works
Research topics
Which keywords describe Frank Lemke's research?
The keywords of their largest research topics: Machine Learning, Data Mining, GMDH-type Neural Networks, Inductive Modeling, Deep Learning, Neural Networks, Molecular Docking and Virtual Screening.
- Self-Organizing Maps
- Materials Informatics
- High-Throughput
- Econophysics
- Time Series Forecasting
- Liquid Chromatography
- Virtual Screening
- Neural Networks
- Inductive Modeling
- Data Mining
- Machine Learning
- GMDH-type Neural Networks
- Deep Learning
- Molecular Docking
- Chiral Separation
- Stock Market Prediction
- Backpropagation Learning
- Electricity Price Forecasting
- Load Forecasting
- Multifractal Analysis
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
- Machine Learning163 topics
- Data Mining102 topics
- GMDH-type Neural Networks81 topic
- Inductive Modeling81 topic
- Deep Learning73 topics
- Neural Networks73 topics
- Molecular Docking61 topic
- Virtual Screening61 topic
- Chiral Separation31 topic
- Liquid Chromatography31 topic
- Stock Market Prediction31 topic
- Time Series Forecasting31 topic
- Backpropagation Learning21 topic
- Econophysics21 topic
- Electricity Price Forecasting21 topic
- High-Throughput21 topic
- Load Forecasting21 topic
- Materials Informatics21 topic
- Multifractal Analysis21 topic
- Self-Organizing Maps21 topic
Where does Frank Lemke work?
Frank Lemke's main affiliation in the publication record is Software (Germany), Germany.
How many publications and citations does Frank Lemke have?
OpenAlex counts 28 works and 342 citations for Frank Lemke, an h-index of 9, ranking #3,823,510 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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