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Researcher · Delft University of Technology · Netherlands

Artur M. Schweidtmann

Artur M. Schweidtmann publishes mostly in Control and Systems Engineering, Artificial Intelligence and Materials Chemistry, on topics such as Machine Learning in Materials Science, Process Optimization and Integration and Advanced Control Systems Optimization.

ORCID 0000-0001-8885-6847 OpenAlex
World rank
#109,855
of 7,710,434 ranked researchers
Rank in Netherlands
#2,631
of 107,149
Works
153
Citations
3.7k
Citations per work
24.2
h-index
34
i10-index 62Top 3.4% in Control and Systems Engineering
Artur M. Schweidtmann

What does Artur M. Schweidtmann research?

Artur M. Schweidtmann's work is mostly in Engineering (26%), Computer Science (24%), Materials Science (11%).

Physical Sciences: 92 works · 60.2% of their workEngineering: 40 works · 26.1% of their workControl and Systems Engineering: 30 works · 19.9% of their workBiomedical Engineering: 9 works · 6.2% of their workComputer Science: 36 works · 23.5% of their workArtificial Intelligence: 21 works · 13.4% of their workComputational Theory and Mathematics: 15 works · 10.1% of their workMaterials Science: 16 works · 10.6% of their workMaterials Chemistry: 16 works · 10.6% of their workEverything else: 56 works · 36.7% of their workLife Sciences: 5 works · 3.1% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 3.1% of their workMolecular Biology: 5 works · 3.1% of their workTHEIR WORKArtur M.Schweidtmann153works
Life Sciences3%Physical Sciences60%

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. Engineering4026.1%
    2. Computer Science3623.5%
    3. Materials Science1610.6%
  2. Everything else5636.7%
    1. Biochemistry, Genetics and Molecular Biology53.1%
  1. 1Control and Systems Engineering20% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Materials Chemistry11% of their works
  4. 4Computational Theory and Mathematics10% of their works
  5. 5Biomedical Engineering6% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Artur M. Schweidtmann's research?

The keywords of their largest research topics: Machine Learning, Optimization, High-Throughput, Materials Informatics, Process Intensification, Scheduling, Model Predictive Control and Nonlinear Systems.

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 Learning733 topics
  2. Optimization592 topics
  3. High-Throughput391 topic
  4. Materials Informatics391 topic
  5. Process Intensification361 topic
  6. Scheduling361 topic
  7. Model Predictive Control231 topic
  8. Nonlinear Systems231 topic
  9. Molecular Docking211 topic
  10. Virtual Screening211 topic
  11. Evolutionary Algorithms141 topic
  12. Multiobjective Optimization141 topic
  13. Fault Detection131 topic
  14. Process Monitoring131 topic
  15. Droplet Formation121 topic
  16. Microfluidics121 topic
  17. Neural Networks91 topic
  18. Word Representation91 topic

Where does Artur M. Schweidtmann work?

Artur M. Schweidtmann's main affiliation in the publication record is Delft University of Technology, Netherlands.

How many publications and citations does Artur M. Schweidtmann have?

OpenAlex counts 153 works and 3,704 citations for Artur M. Schweidtmann, an h-index of 34, ranking #109,855 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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