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Researcher · Technical University of Munich · Germany

Thomas L. Beckers

Thomas L. Beckers publishes mostly in Control and Systems Engineering, Molecular Biology and Artificial Intelligence, on topics such as Gaussian Processes and Bayesian Inference, Control Systems and Identification and Advanced Control Systems Optimization.

ORCID 0000-0003-1718-0338 OpenAlex
World rank
#1,285,422
of 7,710,434 ranked researchers
Rank in Germany
#63,316
of 364,343
Works
198
Citations
4.9k
Citations per work
24.7
h-index
35
i10-index 73Top 3.1% in Control and Systems Engineering
Thomas L. Beckers

What does Thomas L. Beckers research?

Thomas L. Beckers's work is mostly in Engineering (21%), Biochemistry, Genetics and Molecular Biology (14%), Computer Science (11%).

Everything else: 81 works · 41.1% of their workPhysical Sciences: 73 works · 37.1% of their workEngineering: 42 works · 21.0% of their workControl and Systems Engineering: 30 works · 15.0% of their workElectrical and Electronic Engineering: 12 works · 6.0% of their workComputer Science: 21 works · 10.8% of their workArtificial Intelligence: 21 works · 10.8% of their workChemistry: 10 works · 5.3% of their workOrganic Chemistry: 10 works · 5.3% of their workLife Sciences: 28 works · 13.9% of their workBiochemistry, Genetics and Molecular Biology: 28 works · 13.9% of their workMolecular Biology: 28 works · 13.9% of their workHealth Sciences: 16 works · 7.9% of their workMedicine: 16 works · 7.9% of their workOncology: 16 works · 7.9% of their workTHEIR WORKThomas L. Beckers198works
Life Sciences14%Physical Sciences37%Health Sciences8%

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 else8141.1%
    1. Engineering4221.0%
    2. Computer Science2110.8%
    3. Chemistry105.3%
    1. Biochemistry, Genetics and Molecular Biology2813.9%
    1. Medicine167.9%
  1. 1Control and Systems Engineering15% of their works
  2. 2Molecular Biology14% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Oncology8% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Organic Chemistry5% of their works

Research topics

Which keywords describe Thomas L. Beckers's research?

The keywords of their largest research topics: Machine Learning, Gaussian Processes, Variational Inference, Parameter Estimation, System Identification, Model Predictive Control, Optimization and HDAC Inhibitors.

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 17 words, with their numbers
  1. Machine Learning402 topics
  2. Gaussian Processes281 topic
  3. Variational Inference281 topic
  4. Parameter Estimation251 topic
  5. System Identification251 topic
  6. Model Predictive Control231 topic
  7. Optimization231 topic
  8. HDAC Inhibitors211 topic
  9. Histone Deacetylases211 topic
  10. Plasmonics161 topic
  11. Thin-Film Transistors161 topic
  12. Bacterial Therapy121 topic
  13. Fault Detection121 topic
  14. Nanocavities121 topic
  15. Photonic Crystals121 topic
  16. Process Monitoring121 topic
  17. Tumor Targeting121 topic

Where does Thomas L. Beckers work?

Thomas L. Beckers's main affiliation in the publication record is Technical University of Munich, Germany.

How many publications and citations does Thomas L. Beckers have?

OpenAlex counts 198 works and 4,884 citations for Thomas L. Beckers, an h-index of 35, ranking #1,285,422 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.

Discussion

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