Jörg Neugebauer

Materials Chemistry · 2000–2019

A researcher in the Science corpus: 33 papers; trusts 16 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jörg Neugebauer trusts overall

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

  1. Axel D. Becke
  2. J. Perdew
  3. Levente Vitos
  4. M. Ernzerhof
  5. David Weininger
  6. L. Eon Bottou
  7. Kieron Burke
  8. Brian Cantor
  9. C. Walle
  10. Gustavo E. Scuseria

Who trusts Jörg Neugebauer overall

  1. A. Janotti
  2. J. L. Lyons
  3. Yuji Ikeda
  4. Audrius Alkauskas
  5. C. Walle
  6. Blazej Grabowski
  7. S. Lany
  8. Justin R. Weber
  9. C. G. Van de Walle
  10. Christoph Freysoldt

Papers from Jörg Neugebauer's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Learning representations by back-propagating errors
  3. Stochastic Gradient Learning in Neural Networks
  4. Inhomogeneous Electron Gas
  5. Relative effects of enthalpy and entropy on the phase stability of equiatomic high-entropy alloys
  6. Neural Networks: Tricks of the Trade
  7. A Model of Inductive Bias Learning
  8. Phoneme recognition using time-delay neural networks
  9. A Chemist's Guide to Density Functional Theory
  10. Approximation by superpositions of a sigmoidal function

Their papers