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researcher

G. Goltsman

34 papers hereh-index 325.8k citations202 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author21
  • last author8

Across the 29 of 34 papers where every author was matched, so the position is known.

fields
  • cond-mat.supr-con11
  • physics.ins-det9
  • cond-mat.mes-hall5
  • physics.optics3
  • quant-ph3
  • cond-mat.mtrl-sci1
same name
  • G. Goltsman — 9 papers, h 28
  • G. Goltsman — 2 papers
  • G. Goltsman — 1 paper, h 5
  • G. Goltsman — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062026
most citedHigh Speed and High Efficiency Travelling Wave Single-Photon Detectors Embedded in Nanophotonic Circuits

481 citations · 2k across the 34 of their papers we have counts for

collaborators
Showing 2014Show all

3 papers · 1 filter

cond-mat.supr-con2014★ 1 cited

Dark counts initiated by macroscopic quantum tunneling in NbN superconducting photon detectors

A. Murphy, A. Semenov, A. Korneev +3

We perform measurements of the switching current distributions of three w = 120 nm wide, 4 nm thick NbN superconducting strips which are used for single-photon detectors. These str…

physics.atm-clus2014★ 11 cited

A superconducting NbN detector for neutral nanoparticles

M. Marksteiner, A. Divochiy, M. Sclafani +6

We present a proof-of-principle study of superconducting single photon detectors (SSPD) for the detection of individual neutral molecules/nanoparticles at low energies. The new det…

physics.ins-det2014★ 21 cited

Sensitivity of a superconducting nanowire detector for single ions at low energy

M. Sclafani, M. Marksteiner, F. McLennar Keir +5

We report on the characterization of a superconducting nanowire detector for ions at low kinetic energies. We measure the absolute single particle detection efficiency η and trac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.