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Researcher · Berliner Hochschule für Technik · Germany

Felix Bießmann

Felix Bießmann publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition, on topics such as Neural dynamics and brain function, Machine Learning and Data Classification and Explainable Artificial Intelligence (XAI).

ORCID 0000-0002-3422-1026 OpenAlex
World rank
#373,704
of 7,710,434 ranked researchers
Rank in Germany
#18,476
of 364,343
Works
145
Citations
4.5k
Citations per work
30.8
h-index
24
i10-index 34Top 8.5% in Artificial Intelligence
Felix Bießmann

What does Felix Bießmann research?

Felix Bießmann's work is mostly in Computer Science (32%), Neuroscience (11%), Environmental Science (5%).

Everything else: 71 works · 49.1% of their workPhysical Sciences: 53 works · 36.7% of their workComputer Science: 46 works · 31.5% of their workArtificial Intelligence: 32 works · 22.1% of their workComputer Vision and Pattern Recognition: 9 works · 6.4% of their workSignal Processing: 4 works · 3.0% of their workEnvironmental Science: 8 works · 5.2% of their workEnvironmental Engineering: 8 works · 5.2% of their workLife Sciences: 16 works · 10.9% of their workNeuroscience: 16 works · 10.9% of their workCognitive Neuroscience: 16 works · 10.9% of their workHealth Sciences: 5 works · 3.3% of their workMedicine: 5 works · 3.3% of their workHealth Informatics: 5 works · 3.3% of their workTHEIR WORKFelix Bießmann145works
Life Sciences11%Physical Sciences37%Health Sciences3%

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 else7149.1%
    1. Computer Science4631.5%
    2. Environmental Science85.2%
    1. Neuroscience1610.9%
    1. Medicine53.3%
  1. 1Artificial Intelligence22% of their works
  2. 2Cognitive Neuroscience11% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Environmental Engineering5% of their works
  5. 5Health Informatics3% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Felix Bießmann's research?

The keywords of their largest research topics: Deep Neural Networks, Big Data, Cortical Networks, Neuronal Oscillations, Hyperparameter Optimization, Noisy Labels, Artificial Intelligence and Interpretable Models.

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. Deep Neural Networks232 topics
  2. Big Data202 topics
  3. Cortical Networks131 topic
  4. Neuronal Oscillations131 topic
  5. Hyperparameter Optimization121 topic
  6. Noisy Labels121 topic
  7. Artificial Intelligence111 topic
  8. Interpretable Models111 topic
  9. Machine Learning111 topic
  10. Machine Learning Interpretability111 topic
  11. Brain-Computer Interfaces91 topic
  12. Data Cleaning91 topic
  13. EEG Analysis91 topic
  14. Functional Connectivity91 topic
  15. Record Linkage91 topic
  16. Resting-State fMRI91 topic
  17. Neural Networks81 topic
  18. Self-Organizing Maps81 topic

Where does Felix Bießmann work?

Felix Bießmann's main affiliation in the publication record is Berliner Hochschule für Technik, Germany.

How many publications and citations does Felix Bießmann have?

OpenAlex counts 145 works and 4,465 citations for Felix Bießmann, an h-index of 24, ranking #373,704 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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