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Researcher · Hochschule Mittweida · Germany

David Nebel

David Nebel publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Neural Networks and Applications, Face and Expression Recognition and Image Retrieval and Classification Techniques.

OpenAlex
World rank
#5,503,101
of 7,710,434 ranked researchers
Rank in Germany
#284,178
of 364,343
Works
24
Citations
240
Citations per work
10.0
h-index
9
i10-index 9Top 49% in Artificial Intelligence
David Nebel

What does David Nebel research?

David Nebel's work is mostly in Computer Science (69%), Biochemistry, Genetics and Molecular Biology (14%), Engineering (9%).

Physical Sciences: 19 works · 77.2% of their workComputer Science: 16 works · 68.6% of their workArtificial Intelligence: 9 works · 38.6% of their workComputer Vision and Pattern Recognition: 7 works · 27.1% of their workComputational Theory and Mathematics: 1 works · 2.9% of their workEngineering: 2 works · 8.6% of their workControl and Systems Engineering: 1 works · 5.7% of their workMedia Technology: 1 works · 2.9% of their workLife Sciences: 3 works · 14.3% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 14.3% of their workMolecular Biology: 3 works · 14.3% of their workEverything else: 2 works · 8.5% of their workTHEIR WORKDavid Nebel24works
Life Sciences14%Physical Sciences77%

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 Science1668.6%
    2. Engineering28.6%
    1. Biochemistry, Genetics and Molecular Biology314.3%
  3. Everything else28.5%
  1. 1Artificial Intelligence39% of their works
  2. 2Computer Vision and Pattern Recognition27% of their works
  3. 3Molecular Biology14% of their works
  4. 4Control and Systems Engineering6% of their works
  5. 5Computational Theory and Mathematics3% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe David Nebel's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Feature Selection, Neural Networks, Self-Organizing Maps, Local Binary Patterns, Dimensionality Reduction and Face Recognition.

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 20 words, with their numbers
  1. Deep Learning182 topics
  2. Machine Learning185 topics
  3. Feature Selection143 topics
  4. Neural Networks141 topic
  5. Self-Organizing Maps141 topic
  6. Local Binary Patterns122 topics
  7. Dimensionality Reduction71 topic
  8. Face Recognition71 topic
  9. Content-Based Image Retrieval51 topic
  10. Shape Matching51 topic
  11. Classification41 topic
  12. Genetic Programming41 topic
  13. JPEG200041 topic
  14. Wavelet Compression41 topic
  15. DNA Sequences31 topic
  16. Fault Detection31 topic
  17. Gene Expression31 topic
  18. Genomic Signal Processing31 topic
  19. Microarray31 topic
  20. Process Monitoring31 topic

Where does David Nebel work?

David Nebel's main affiliation in the publication record is Hochschule Mittweida, Germany.

How many publications and citations does David Nebel have?

OpenAlex counts 24 works and 240 citations for David Nebel, an h-index of 9, ranking #5,503,101 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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