| SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nature Methods 17, 261–272, 2020 | 25845 | 2020 |
| Array programming with NumPy CR Harris, KJ Millman, SJ van der Walt, R Gommers, P Virtanen, ... Nature 585 (7825), 357-362, 2020 | 15709 | 2020 |
| Python for scientists and engineers KJ Millman, M Aivazis Computing in Science & Engineering 13 (2), 9-12, 2011 | 1105 | 2011 |
| Data sharing for computational neuroscience JL Teeters, KD Harris, KJ Millman, BA Olshausen, FT Sommer Neuroinformatics 6 (1), 47-55, 2008 | 150 | 2008 |
| Learning sparse codes with a mixture-of-Gaussians prior BA Olshausen, KJ Millman Advances in Neural Information Processing Systems 12, 841-847, 1999 | 129 | 1999 |
| Analysis of functional Magnetic Resonance Imaging in Python KJ Millman, M Brett Computing in Science & Engineering 9 (3), 52-55, 2007 | 85 | 2007 |
| Developing Open-Source Scientific Practice KJ Millman, F Pérez Implementing Reproducible Research, 149-183, 2014 | 47* | 2014 |
| Learning from open source software projects to improve scientific review SS Ghosh, A Klein, B Avants, KJ Millman Frontiers in Computational Neuroscience 6, 2012 | 28 | 2012 |
| Changing computational research. The challenges ahead. C Neylon, J Aerts, CT Brown, SJ Coles, L Hatton, D Lemire, KJ Millman, ... Source Code for Biology and Medicine 7 (1), 2, 2012 | 17 | 2012 |
| Teaching Computational Reproducibility for Neuroimaging KJ Millman, M Brett, R Barnowski, JB Poline Frontiers in Neuroscience 12 (727), 2018 | 16 | 2018 |
| Permute—a Python package for permutation tests and confidence sets KJ Millman University of California, Berkeley, 2015 | 5 | 2015 |
Bruno OlshausenProfessor, UC BerkeleyDirección de correo verificada de berkeley.edu
