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Researcher · Flensburg University of Applied Sciences · Germany

Nils Porsche

Nils Porsche publishes mostly in Artificial Intelligence, Surgery and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Cell Image Analysis Techniques and Digital Imaging for Blood Diseases.

ORCID 0009-0005-3672-9316 OpenAlex
World rank
#4,015,452
of 7,710,434 ranked researchers
Rank in Germany
#202,110
of 364,343
Works
17
Citations
2
Citations per work
0.1
h-index
1
i10-index 0Top 99% in Artificial Intelligence
Nils Porsche

What does Nils Porsche research?

Nils Porsche's work is mostly in Computer Science (35%), Medicine (35%), Biochemistry, Genetics and Molecular Biology (12%).

Physical Sciences: 6 works · 34.9% of their workComputer Science: 6 works · 34.9% of their workArtificial Intelligence: 4 works · 20.9% of their workComputer Vision and Pattern Recognition: 2 works · 14.0% of their workHealth Sciences: 6 works · 34.9% of their workMedicine: 6 works · 34.9% of their workSurgery: 3 works · 18.6% of their workOncology: 2 works · 9.3% of their workEpidemiology: 1 works · 7.0% of their workEverything else: 3 works · 18.6% of their workLife Sciences: 2 works · 11.6% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 11.6% of their workBiophysics: 2 works · 11.6% of their workTHEIR WORKNils Porsche17works
Life Sciences12%Physical Sciences35%Health Sciences35%

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 Science634.9%
    1. Medicine634.9%
  3. Everything else318.6%
    1. Biochemistry, Genetics and Molecular Biology211.6%
  1. 1Artificial Intelligence21% of their works
  2. 2Surgery19% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Biophysics12% of their works
  5. 5Oncology9% of their works
  6. 6Epidemiology7% of their works

Research topics

Which keywords describe Nils Porsche's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Image Processing and Epidemiology.

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. Machine Learning204 topics
  2. Deep Learning183 topics
  3. Convolutional Neural Networks132 topics
  4. Medical Image Analysis132 topics
  5. Computer-Aided Detection91 topic
  6. Histopathology Images91 topic
  7. Image Processing92 topics
  8. Epidemiology72 topics
  9. Bioimage Analysis51 topic
  10. High-Content Screening51 topic
  11. Dermoscopy41 topic
  12. Leukemia Classification41 topic
  13. Malaria Parasite Detection41 topic
  14. Melanoma41 topic
  15. Esophageal Carcinoma31 topic
  16. Nasal Surgery31 topic
  17. Nonmelanoma Skin Cancer31 topic
  18. Preoperative Chemoradiotherapy31 topic
  19. Rhinoplasty31 topic
  20. Skin Cancers31 topic
  21. Gene Expression21 topic
  22. Microarray21 topic

Where does Nils Porsche work?

Nils Porsche's main affiliation in the publication record is Flensburg University of Applied Sciences, Germany.

How many publications and citations does Nils Porsche have?

OpenAlex counts 17 works and 2 citations for Nils Porsche, an h-index of 1, ranking #4,015,452 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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