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Researcher · STMicroelectronics (Switzerland) · Switzerland

Thomas Boesch

Thomas Boesch publishes mostly in Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition, on topics such as Advanced Memory and Neural Computing, Parallel Computing and Optimization Techniques and CCD and CMOS Imaging Sensors.

ORCID 0009-0003-7927-8047 OpenAlex
World rank
#2,815,009
of 7,710,434 ranked researchers
Rank in Switzerland
#42,342
of 80,918
Works
17
Citations
278
Citations per work
16.4
h-index
5
i10-index 4Top 89% in Electrical and Electronic Engineering
Thomas Boesch

What does Thomas Boesch research?

Thomas Boesch's work is mostly in Computer Science (50%), Engineering (36%).

Physical Sciences: 15 works · 86.4% of their workComputer Science: 8 works · 50.0% of their workHardware and Architecture: 3 works · 18.2% of their workComputer Vision and Pattern Recognition: 2 works · 11.4% of their workArtificial Intelligence: 2 works · 9.1% of their workComputer Networks and Communications: 1 works · 6.8% of their workInformation Systems: 1 works · 4.5% of their workEngineering: 6 works · 36.4% of their workElectrical and Electronic Engineering: 6 works · 36.4% of their workEverything else: 2 works · 13.6% of their workTHEIR WORKThomas Boesch17works
Physical Sciences86%

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. Computer Science850.0%
    2. Engineering636.4%
  2. Everything else213.6%
  1. 1Electrical and Electronic Engineering36% of their works
  2. 2Hardware and Architecture18% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Artificial Intelligence9% of their works
  5. 5Computer Networks and Communications7% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Thomas Boesch's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Memristor, Neuromorphic Computing, Parallel Computing, Performance Optimization, CMOS Image Sensors and High-Speed Imaging.

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. Neural Networks102 topics
  2. Deep Learning83 topics
  3. Memristor71 topic
  4. Neuromorphic Computing71 topic
  5. Parallel Computing61 topic
  6. Performance Optimization61 topic
  7. CMOS Image Sensors41 topic
  8. High-Speed Imaging41 topic
  9. Backpropagation Learning31 topic
  10. Convolutional Neural Networks31 topic
  11. Image Recognition31 topic
  12. Self-Organizing Maps31 topic
  13. Big Data21 topic
  14. Cloud Computing21 topic
  15. Feature Matching21 topic
  16. High-Level Synthesis21 topic
  17. Local Descriptors21 topic
  18. Reconfigurable Computing21 topic

Where does Thomas Boesch work?

Thomas Boesch's main affiliation in the publication record is STMicroelectronics (Switzerland), Switzerland.

How many publications and citations does Thomas Boesch have?

OpenAlex counts 17 works and 278 citations for Thomas Boesch, an h-index of 5, ranking #2,815,009 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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