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Researcher · Technische Hochschule Mannheim · Germany

Nikolas Ebert

Nikolas Ebert publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Spectroscopy, on topics such as Advanced Neural Network Applications, Mass Spectrometry Techniques and Applications and Cell Image Analysis Techniques.

ORCID 0000-0002-2971-1012 OpenAlex
World rank
#3,241,832
of 7,710,434 ranked researchers
Rank in Germany
#161,472
of 364,343
Works
36
Citations
102
Citations per work
2.8
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
Nikolas Ebert

What does Nikolas Ebert research?

Nikolas Ebert's work is mostly in Computer Science (46%), Biochemistry, Genetics and Molecular Biology (12%), Chemistry (10%).

Physical Sciences: 22 works · 61.8% of their workComputer Science: 16 works · 45.8% of their workComputer Vision and Pattern Recognition: 11 works · 29.8% of their workArtificial Intelligence: 6 works · 16.0% of their workChemistry: 3 works · 9.6% of their workSpectroscopy: 3 works · 9.6% of their workEngineering: 2 works · 6.4% of their workMedia Technology: 2 works · 6.4% of their workEverything else: 10 works · 26.5% of their workLife Sciences: 4 works · 11.7% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 11.7% of their workBiophysics: 2 works · 6.4% of their workMolecular Biology: 2 works · 5.3% of their workTHEIR WORKNikolas Ebert36works
Life Sciences12%Physical Sciences62%

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 Science1645.8%
    2. Chemistry39.6%
    3. Engineering26.4%
  2. Everything else1026.5%
    1. Biochemistry, Genetics and Molecular Biology411.7%
  1. 1Computer Vision and Pattern Recognition30% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Spectroscopy10% of their works
  4. 4Biophysics6% of their works
  5. 5Media Technology6% of their works
  6. 6Molecular Biology5% of their works

Research topics

Which keywords describe Nikolas Ebert's research?

The keywords of their largest research topics: Deep Learning, Mass Spectrometry, Convolutional Neural Networks, Image Recognition, Proteomics, Neural Networks, Electrospray and Ionization.

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 Learning285 topics
  2. Mass Spectrometry133 topics
  3. Convolutional Neural Networks121 topic
  4. Image Recognition121 topic
  5. Proteomics92 topics
  6. Neural Networks82 topics
  7. Electrospray51 topic
  8. Ionization51 topic
  9. Anomaly Detection41 topic
  10. Bioimage Analysis41 topic
  11. Data Analysis41 topic
  12. Digital Forensics41 topic
  13. Generative Adversarial Networks41 topic
  14. High-Content Screening41 topic
  15. Image Forgery Detection41 topic
  16. Image Synthesis41 topic
  17. Metabolomics41 topic
  18. Protein Identification41 topic
  19. Quantitative Analysis41 topic
  20. Unsupervised41 topic

Where does Nikolas Ebert work?

Nikolas Ebert's main affiliation in the publication record is Technische Hochschule Mannheim, Germany.

How many publications and citations does Nikolas Ebert have?

OpenAlex counts 36 works and 102 citations for Nikolas Ebert, an h-index of 6, ranking #3,241,832 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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