Andrea Kübler

Cognitive Neuroscience · 2001–2016

A researcher in the Science corpus: 12 papers; trusts 23 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Andrea Kübler trusts overall

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

  1. Emanuel Donchin
  2. Eric W. Sellers
  3. Dean J. Krusienski
  4. Niels Birbaumer
  5. Jonathan R. Wolpaw
  6. Gert Pfurtscheller
  7. Dennis J. McFarland
  8. Gernot R. Müller-Putz
  9. Adrian Furdea
  10. Xiaorong Gao

Who trusts Andrea Kübler overall

  1. Benjamin Blankertz
  2. Brendan Z. Allison
  3. Niels Birbaumer
  4. Ali Bashashati
  5. Adrian Furdea
  6. Jonathan R. Wolpaw
  7. Christa Neuper
  8. Luis F. Nicolás-Alonso
  9. Yousef Rezaei Tabar
  10. Mehrdad Fatourechi

Papers from Andrea Kübler's perspective

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

  1. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  2. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. (IEEE transactions on rehabilitation engineering)
  3. BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm (IEEE Transactions on Biomedical Engineering)
  4. Brain-computer communication: unlocking the locked in. (Psychological bulletin)
  5. A P300-based brain-computer interface: initial tests by ALS patients. (Clinical Neurophysiology)
  6. Brain-computer interface research at the Wadsworth Center. (IEEE transactions on rehabilitation engineering)
  7. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
  8. An improved P300-based brain-computer interface (IEEE transactions on neural systems and rehabilitation engineering)
  9. A comparison of classification techniques for the P300 Speller (Journal of Neural Engineering)
  10. A brain–computer interface using electrocorticographic signals in humans (Journal of Neural Engineering)

Their papers