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Researcher · Robert Bosch (Germany) · Germany

Fabian Timm

Fabian Timm publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, on topics such as Advanced Neural Network Applications, Autonomous Vehicle Technology and Safety and Industrial Vision Systems and Defect Detection.

OpenAlex
World rank
#3,431,301
of 7,710,434 ranked researchers
Rank in Germany
#171,223
of 364,343
Works
29
Citations
1.9k
Citations per work
66.5
h-index
8
i10-index 7Top 60% in Computer Vision and Pattern Recognition
Fabian Timm

What does Fabian Timm research?

Fabian Timm's work is mostly in Computer Science (47%), Engineering (29%).

Physical Sciences: 22 works · 76.5% of their workComputer Science: 14 works · 47.1% of their workComputer Vision and Pattern Recognition: 11 works · 36.5% of their workArtificial Intelligence: 3 works · 10.6% of their workEngineering: 9 works · 29.4% of their workAutomotive Engineering: 3 works · 10.6% of their workIndustrial and Manufacturing Engineering: 2 works · 8.2% of their workMedia Technology: 2 works · 7.1% of their workAerospace Engineering: 1 works · 3.5% of their workEverything else: 7 works · 23.5% of their workTHEIR WORKFabian Timm29works
Physical Sciences76%

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 Science1447.1%
    2. Engineering929.4%
  2. Everything else723.5%
  1. 1Computer Vision and Pattern Recognition36% of their works
  2. 2Automotive Engineering11% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Industrial and Manufacturing Engineering8% of their works
  5. 5Media Technology7% of their works
  6. 6Aerospace Engineering4% of their works

Research topics

Which keywords describe Fabian Timm's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Computer Vision, Image Recognition, Machine Learning, Machine Vision, Object Detection and Autonomous Vehicles.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning406 topics
  2. Convolutional Neural Networks162 topics
  3. Computer Vision152 topics
  4. Image Recognition121 topic
  5. Machine Learning122 topics
  6. Machine Vision122 topics
  7. Object Detection121 topic
  8. Autonomous Vehicles91 topic
  9. Trajectory Prediction91 topic
  10. Neural Networks82 topics
  11. Fabric Defect Detection71 topic
  12. Texture Analysis71 topic
  13. Autofocusing51 topic
  14. Depth Estimation51 topic
  15. Feature Matching51 topic
  16. Local Descriptors51 topic
  17. Object Tracking41 topic
  18. Visual Tracking41 topic
  19. Adversarial Examples31 topic
  20. Hough Transform31 topic
  21. Line Detection31 topic
  22. Robustness31 topic

Where does Fabian Timm work?

Fabian Timm's main affiliation in the publication record is Robert Bosch (Germany), Germany.

How many publications and citations does Fabian Timm have?

OpenAlex counts 29 works and 1,929 citations for Fabian Timm, an h-index of 8, ranking #3,431,301 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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