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Researcher · Université de Haute-Alsace · France

J.L. Buessler

J.L. Buessler publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Neural Networks and Applications, Advanced Vision and Imaging and Robot Manipulation and Learning.

OpenAlex
World rank
#5,826,776
of 7,710,434 ranked researchers
Rank in France
#247,589
of 324,115
Works
20
Citations
103
Citations per work
5.2
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
J.L. Buessler

What does J.L. Buessler research?

J.L. Buessler's work is mostly in Computer Science (43%), Engineering (18%), Neuroscience (12%).

Physical Sciences: 12 works · 61.8% of their workComputer Science: 9 works · 43.4% of their workComputer Vision and Pattern Recognition: 5 works · 26.7% of their workArtificial Intelligence: 3 works · 16.7% of their workEngineering: 4 works · 18.4% of their workControl and Systems Engineering: 2 works · 11.7% of their workMedia Technology: 1 works · 6.7% of their workEverything else: 4 works · 21.5% of their workLife Sciences: 3 works · 16.7% of their workNeuroscience: 2 works · 11.7% of their workCognitive Neuroscience: 2 works · 11.7% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 5.0% of their workBiophysics: 1 works · 5.0% of their workTHEIR WORKJ.L. Buessler20works
Life Sciences17%Physical Sciences62%

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 Science943.4%
    2. Engineering418.4%
  2. Everything else421.5%
    1. Neuroscience211.7%
    2. Biochemistry, Genetics and Molecular Biology15.0%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Control and Systems Engineering12% of their works
  4. 4Cognitive Neuroscience12% of their works
  5. 5Media Technology7% of their works
  6. 6Biophysics5% of their works

Research topics

Which keywords describe J.L. Buessler's research?

The keywords of their largest research topics: Deep Learning, Depth Estimation, Neural Networks, Backpropagation Learning, Optical Flow, Self-Organizing Maps, Stereo Vision and Grasping.

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 21 words, with their numbers
  1. Deep Learning214 topics
  2. Depth Estimation122 topics
  3. Neural Networks122 topics
  4. Backpropagation Learning81 topic
  5. Optical Flow81 topic
  6. Self-Organizing Maps81 topic
  7. Stereo Vision81 topic
  8. Grasping71 topic
  9. Image Processing72 topics
  10. Microscopy72 topics
  11. Robot Learning71 topic
  12. Autofocusing41 topic
  13. Shape from Focus41 topic
  14. 3D Mapping31 topic
  15. Bioimage Analysis31 topic
  16. Cross-modal Plasticity31 topic
  17. Feature Matching31 topic
  18. High-Content Screening31 topic
  19. Local Descriptors31 topic
  20. SLAM31 topic
  21. Tactile Perception31 topic

Where does J.L. Buessler work?

J.L. Buessler's main affiliation in the publication record is Université de Haute-Alsace, France.

How many publications and citations does J.L. Buessler have?

OpenAlex counts 20 works and 103 citations for J.L. Buessler, an h-index of 6, ranking #5,826,776 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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