Jake Vanderplas
- Paul van Mulbregt
- David Cournapeau
- Pauli Virtanen
- Ralf Gommers
- Fabián Pedregosa
- Travis E. Oliphant
- Matt Haberland
- Tyler Reddy
- Evgeni Burovski
- Pearu Peterson
- Warren Weckesser
- Jonathan Bright
- Stéfan van der Walt
- Matthew Brett
- Joshua Wilson
- K. Jarrod Millman
- Nikolay Mayorov
- Andrew Nelson
- Eric D. Jones
- Robert Kern
- Eric R. Larson
- CJ Carey
- İlhan Polat
- Yu Feng
Jake Vanderplas
collaborator
line weight = collaboration weight
Works in this corpus
| Title | Position | Year | Cited |
|---|---|---|---|
| Scikit-learn: Machine Learning in Python | middle | 2012 | 64,025 |
| SciPy 1.0: fundamental algorithms for scientific computing in Python | middle | 2019 | 11,588 |
| The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package * | middle | 2018 | 7,639 |
| API design for machine learning software: experiences from the scikit-learn project | middle | 2013 | 1,804 |
| Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python | middle | 2020 | 1,683 |
Is this one person?
This record is probably one person, but at least one signal is weak. Check the evidence below before relying on the totals.
- supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
- weakens3 distinct name form(s) across this row's works. Several unrelated spellings is the usual shape of two people sharing one record.
- supportsAt most 2 distinct institution(s) inside any five-year window, which is a normal career.
- supports64% of this row's works sit in its single largest field.
- neutralConfidence is judged on the 5 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.