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Researcher · ETH Zurich · Switzerland

Nikolai Kalischek

Nikolai Kalischek publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Computer Graphics and Visualization Techniques, Generative Adversarial Networks and Image Synthesis and Cocoa and Sweet Potato Agronomy.

ORCID 0000-0002-4137-0142 OpenAlex
World rank
#2,429,998
of 7,710,434 ranked researchers
Rank in Switzerland
#37,487
of 80,918
Works
30
Citations
534
Citations per work
17.8
h-index
7
i10-index 4Top 69% in Computer Vision and Pattern Recognition
Nikolai Kalischek

What does Nikolai Kalischek research?

Nikolai Kalischek's work is mostly in Computer Science (48%), Engineering (9%), Agricultural and Biological Sciences (7%).

Physical Sciences: 19 works · 63.7% of their workComputer Science: 14 works · 48.2% of their workComputer Vision and Pattern Recognition: 9 works · 29.3% of their workArtificial Intelligence: 3 works · 10.3% of their workComputer Graphics and Computer-Aided Design: 3 works · 8.6% of their workEngineering: 3 works · 8.6% of their workComputational Mechanics: 3 works · 8.6% of their workEnvironmental Science: 2 works · 6.9% of their workEcology: 2 works · 6.9% of their workEverything else: 9 works · 29.4% of their workLife Sciences: 2 works · 6.9% of their workAgricultural and Biological Sciences: 2 works · 6.9% of their workHorticulture: 2 works · 6.9% of their workTHEIR WORKNikolai Kalischek30works
Life Sciences7%Physical Sciences64%

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 Science1448.2%
    2. Engineering38.6%
    3. Environmental Science26.9%
  2. Everything else929.4%
    1. Agricultural and Biological Sciences26.9%
  1. 1Computer Vision and Pattern Recognition29% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Computational Mechanics9% of their works
  4. 4Computer Graphics and Computer-Aided Design9% of their works
  5. 5Horticulture7% of their works
  6. 6Ecology7% of their works

Research topics

Which keywords describe Nikolai Kalischek's research?

The keywords of their largest research topics: Unsupervised Learning, Deep Learning, Representation Learning, Agroforestry, Biodiversity Conservation, Computer Graphics, Generative Adversarial Networks and Image Synthesis.

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. Unsupervised Learning113 topics
  2. Deep Learning92 topics
  3. Representation Learning72 topics
  4. Agroforestry62 topics
  5. Biodiversity Conservation62 topics
  6. Computer Graphics51 topic
  7. Generative Adversarial Networks51 topic
  8. Image Synthesis51 topic
  9. Visualization51 topic
  10. 3D Reconstruction41 topic
  11. Cacao41 topic
  12. Climate Change Resilience41 topic
  13. Depth Estimation41 topic
  14. Point Clouds41 topic
  15. Stereo Vision41 topic
  16. Forest Carbon Stocks31 topic
  17. Lidar Remote Sensing31 topic
  18. Domain Adaptation21 topic
  19. Indigenous Fruits21 topic
  20. Transfer Learning21 topic
  21. Tree Domestication21 topic

Where does Nikolai Kalischek work?

Nikolai Kalischek's main affiliation in the publication record is ETH Zurich, Switzerland.

How many publications and citations does Nikolai Kalischek have?

OpenAlex counts 30 works and 534 citations for Nikolai Kalischek, an h-index of 7, ranking #2,429,998 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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