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Microsoft (Denmark)

Denmark

50 papers here2.5k citations across 50
fields
  • cond-mat.mes-hall40
  • cond-mat.mtrl-sci3
  • quant-ph2
  • cs.CR1
  • cs.CV1
  • cs.DB1
  • cs.NI1
  • cs.SI1
ROR 015drfm81OpenAlex

affiliations via OpenAlex

output
20182024
most citedEvidence of topological superconductivity in planar Josephson junctions

403 citations

researchers with a paper here
  • P. Krogstrup27 · h 50
  • C. Marcus23 · h 74
  • K. Petersson11 · h 24
  • S. Gronin8 · h 18
  • D. Sabonis7 · h 14
  • L. Casparis7 · h 20
  • L. Kouwenhoven7 · h 101
  • A. Kringhøj6 · h 10
  • F. Malinowski6 · h 16
  • G. Gardner6 · h 37
  • G. Ménard2 profiles6 · h 10
  • M. Manfra6 · h 57
collaborating institutions
  • University of CopenhagenDK44 papers
  • Microsoft (United States)US16 papers
  • Delft University of TechnologyNL14 papers
  • QuTechNL9 papers
  • University of California, Santa BarbaraUS9 papers
  • Purdue University West LafayetteUS8 papers
  • California NanoSystems InstituteUS3 papers
  • IBM Research - ZurichCH3 papers
  • Institute of Science and Technology AustriaAT3 papers
  • Technical University of DenmarkDK3 papers
  • Eindhoven University of TechnologyNL2 papers
  • Forschungszentrum JülichDE2 papers
Showing 2020 · cs.CVShow all

1 paper · 2 filters

cs.CV2020★ 3 cited

On the Limits to Multi-Modal Popularity Prediction on Instagram -- A New Robust, Efficient and Explainable Baseline

Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen

Our global population contributes visual content on platforms like Instagram, attempting to express themselves and engage their audiences, at an unprecedented and increasing rate.…

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