Cornelia Denz

Atomic and Molecular Physics, and Optics · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Cornelia Denz trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kishan Dholakia (in Atomic and Molecular Physics, and Optics)
  2. Miles J. Padgett (in Atomic and Molecular Physics, and Optics)
  3. David G. Grier (in Atomic and Molecular Physics, and Optics)
  4. David A. B. Miller (in Artificial Intelligence)
  5. Michael Mazilu (in Atomic and Molecular Physics, and Optics)
  6. Demetrios N. Christodoulides (in Atomic and Molecular Physics, and Optics)
  7. George Barbastathis (in Atomic and Molecular Physics, and Optics)
  8. J. Baumgartl (in Atomic and Molecular Physics, and Optics)
  9. Q. Zhan (in Atomic and Molecular Physics, and Optics)
  10. G. Siviloglou (in Atomic and Molecular Physics, and Optics)

Who trusts Cornelia Denz

  1. Peter Leonard McMahon (in Artificial Intelligence)

Papers from Cornelia Denz's perspective

Ordered by how strongly the researchers Cornelia Denz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Terabit-Scale Orbital Angular Momentum Mode Division Multiplexing in Fibers (Science)
  2. Free-space information transfer using light beams carrying orbital angular momentum. (Optics Express)
  3. Subdiffraction resolution in continuous samples
  4. Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy (Journal of Microscopy)
  5. Spin-orbit hybrid entanglement of photons and quantum contextuality
  6. Magnetic monopole field exposed by electrons (Nature Physics)
  7. Single-pixel imaging via compressive sampling (IEEE Signal Processing Magazine)
  8. Space-division multiplexing in optical fibres (Nature Photonics)
  9. Longitudinal field modes probed by single molecules. (Physical Review Letters)
  10. Introduction to Optical Microscopy

Their papers