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Researcher · German Research Centre for Artificial Intelligence · Germany

Benjamin Bischke

Benjamin Bischke publishes mostly in Media Technology, Ecology and Computer Vision and Pattern Recognition, on topics such as Remote-Sensing Image Classification, Remote Sensing in Agriculture and Smart Agriculture and AI.

ORCID 0000-0002-6473-3348 OpenAlex
World rank
#1,329,940
of 7,710,434 ranked researchers
Rank in Germany
#65,532
of 364,343
Works
54
Citations
3k
Citations per work
55.4
h-index
16
i10-index 20Top 14% in Media Technology
Benjamin Bischke

What does Benjamin Bischke research?

Benjamin Bischke's work is mostly in Computer Science (20%), Environmental Science (19%), Engineering (14%).

Physical Sciences: 29 works · 53.3% of their workComputer Science: 11 works · 20.5% of their workComputer Vision and Pattern Recognition: 6 works · 11.5% of their workArtificial Intelligence: 5 works · 9.0% of their workEnvironmental Science: 10 works · 18.9% of their workEcology: 7 works · 12.3% of their workEnvironmental Engineering: 4 works · 6.6% of their workEngineering: 8 works · 13.9% of their workMedia Technology: 8 works · 13.9% of their workEverything else: 20 works · 37.7% of their workLife Sciences: 5 works · 9.0% of their workAgricultural and Biological Sciences: 5 works · 9.0% of their workPlant Science: 5 works · 9.0% of their workTHEIR WORKBenjamin Bischke54works
Life Sciences9%Physical Sciences53%

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 Science1120.5%
    2. Environmental Science1018.9%
    3. Engineering813.9%
  2. Everything else2037.7%
    1. Agricultural and Biological Sciences59.0%
  1. 1Media Technology14% of their works
  2. 2Ecology12% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Plant Science9% of their works
  5. 5Artificial Intelligence9% of their works
  6. 6Environmental Engineering7% of their works

Research topics

Which keywords describe Benjamin Bischke's research?

The keywords of their largest research topics: Remote Sensing, Deep Learning, Machine Learning, Biomass Estimation, Hyperspectral, Image Analysis, Phenology and Vegetation Monitoring.

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. Remote Sensing485 topics
  2. Deep Learning354 topics
  3. Machine Learning222 topics
  4. Biomass Estimation212 topics
  5. Hyperspectral171 topic
  6. Image Analysis171 topic
  7. Phenology151 topic
  8. Vegetation Monitoring151 topic
  9. Plant Disease Detection71 topic
  10. Smart Farming71 topic
  11. Forest Carbon Stocks61 topic
  12. Geohazards61 topic
  13. High-Resolution Imagery61 topic
  14. Hyperspectral Imaging61 topic
  15. Lidar Remote Sensing61 topic
  16. Road Extraction61 topic
  17. Anomaly Detection51 topic
  18. Unsupervised51 topic
  19. Climate Change41 topic
  20. Flood Risk41 topic

Where does Benjamin Bischke work?

Benjamin Bischke's main affiliation in the publication record is German Research Centre for Artificial Intelligence, Germany.

How many publications and citations does Benjamin Bischke have?

OpenAlex counts 54 works and 2,989 citations for Benjamin Bischke, an h-index of 16, ranking #1,329,940 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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