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Researcher · Nvidia (United States) · United States

Benedikt Schifferer

Benedikt Schifferer publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Multimodal Machine Learning Applications, Topic Modeling and Recommender Systems and Techniques.

ORCID 0009-0007-0941-4110 OpenAlex
World rank
#3,389,455
of 7,710,434 ranked researchers
Rank in United States
#953,721
of 1,627,098
Works
30
Citations
126
Citations per work
4.2
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Benedikt Schifferer

What does Benedikt Schifferer research?

Benedikt Schifferer's work is mostly in Computer Science (86%), Decision Sciences (5%), Engineering (2%).

Physical Sciences: 27 works · 88.5% of their workComputer Science: 26 works · 86.2% of their workArtificial Intelligence: 12 works · 39.1% of their workComputer Vision and Pattern Recognition: 11 works · 35.6% of their workInformation Systems: 3 works · 11.5% of their workEngineering: 1 works · 2.3% of their workBiomedical Engineering: 1 works · 2.3% of their workEverything else: 1 works · 4.6% of their workSocial Sciences: 1 works · 4.6% of their workDecision Sciences: 1 works · 4.6% of their workManagement Science and Operations Research: 1 works · 4.6% of their workHealth Sciences: 1 works · 2.3% of their workMedicine: 1 works · 2.3% of their workHealth Informatics: 1 works · 2.3% of their workTHEIR WORKBenediktSchifferer30works
Physical Sciences88%Health Sciences2%Social Sciences5%

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 Science2686.2%
    2. Engineering12.3%
  2. Everything else14.6%
    1. Decision Sciences14.6%
    1. Medicine12.3%
  1. 1Artificial Intelligence39% of their works
  2. 2Computer Vision and Pattern Recognition36% of their works
  3. 3Information Systems12% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Biomedical Engineering2% of their works
  6. 6Health Informatics2% of their works

Research topics

Which keywords describe Benedikt Schifferer's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Machine Translation, Word Representation, Deep Neural Networks and Collaborative Filtering.

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 19 words, with their numbers
  1. Deep Learning335 topics
  2. Neural Networks283 topics
  3. Image Captioning121 topic
  4. Visual Question Answering121 topic
  5. Machine Translation91 topic
  6. Word Representation91 topic
  7. Deep Neural Networks82 topics
  8. Collaborative Filtering71 topic
  9. Matrix Factorization71 topic
  10. Feature Matching51 topic
  11. Graph Neural Networks51 topic
  12. Knowledge Graph Embedding51 topic
  13. Local Descriptors51 topic
  14. Convolutional Neural Networks41 topic
  15. Hyperparameter Optimization41 topic
  16. Image Recognition41 topic
  17. Interpretable Models41 topic
  18. Machine Learning Interpretability41 topic
  19. Noisy Labels41 topic

Where does Benedikt Schifferer work?

Benedikt Schifferer's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Benedikt Schifferer have?

OpenAlex counts 30 works and 126 citations for Benedikt Schifferer, an h-index of 5, ranking #3,389,455 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.

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