Brian E. Granger

2007–2017

A researcher in the Science corpus: 5 papers; trusts 0 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Whom Brian E. Granger trusts overall

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

  1. Fernando Pérez

Who trusts Brian E. Granger overall

  1. K. Jarrod Millman
  2. Christoph Weniger
  3. Leonardo Uieda
  4. Anubhav Jain
  5. G. Feiden
  6. Sergey E. Koposov
  7. Fernando Pérez
  8. S. Garrison-Kimmel
  9. John J. Vickers
  10. Jonathan J. Helmus

Papers from Brian E. Granger's perspective

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

  1. A new efficient algorithm for computing Gröbner bases without reduction to zero (F5) (International Symposium on Symbolic and Algebraic Computation)
  2. Google App Engine
  3. Learning Python
  4. MPFR: A multiple-precision binary floating-point library with correct rounding (TOMS)
  5. What every computer scientist should know about floating-point arithmetic
  6. The SciPy Documentation Project (Technical Overview)
  7. Gentleman R: R: A language for data analysis and graphics
  8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  9. Python Programming Language (USENIX Annual Technical Conference)
  10. MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Their papers