J. Vanderplas

Astronomy and Astrophysics · 2009–2020

A researcher in the Science corpus: 9 papers; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Astronomy and Astrophysics — 52 citations into it; #8,191 of 10,964 by trust here, #3,576 by citations
• Artificial Intelligence — 42 citations into it; #25,963 of 35,345 by trust here, #315 by citations
• Instrumentation — 20 citations into it
• ML Systems & Hardware — 18 citations into it
• Statistics and Probability — 12 citations into it
• Computational Mechanics — 11 citations into it
• Hardware and Architecture — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom J. Vanderplas trusts overall

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

1. M. Zechmeister
2. M. Kürster
3. Jens Keiner
4. B. Sesar
5. A. Cumming
6. S. Vaughan
7. Tomás Cipra
8. Stefan Kunis
9. Saul A. Teukolsky
10. Željko Ivezic´

Who trusts J. Vanderplas overall

1. James R. A. Davenport
2. Daniel Foreman-Mackey
3. E. Agol
4. Sivaram Ambikasaran
5. R. Angus

Papers from J. Vanderplas's perspective

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

1. Sloan Digital Sky Survey Standard Star Catalog for Stripe 82: The Dawn of Industrial 1% Optical Photometry
2. Exploring the Variable Sky with the Sloan Digital Sky Survey
3. The Sloan Digital Sky Survey: Technical Summary
4. The Sloan Digital Sky Survey monitor telescope pipeline
5. THE SLOAN DIGITAL SKY SURVEY-II: PHOTOMETRY AND SUPERNOVA IA LIGHT CURVES FROM THE 2005 DATA
6. Sloan Digital Sky Survey: Early Data Release
7. SDSS data management and photometric quality assessment
8. The Pan-STARRS wide-field optical/NIR imaging survey (Astronomical Telescopes + Instrumentation)
9. Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
10. The generalised Lomb-Scargle periodogram. A new formalism for the floating-mean and Keplerian periodograms

Their papers

• Scikit-learn: Machine Learning in Python (2011) — 91,720 citations
• SciPy 1.0: fundamental algorithms for scientific computing in Python (2019) — 33,467 citations
• LSST Science Book, Version 2.0 (2009) — 1,420 citations
• Understanding the Lomb–Scargle Periodogram (2017) — 912 citations
• Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python (2020) — 1,246 citations
• The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package (2018) — 6,365 citations
• PERIODOGRAMS FOR MULTIBAND ASTRONOMICAL TIME SERIES (2015) — 168 citations
• Hierarchical Probabilistic Models for Group Anomaly Detection (2011) — 96 citations
• FIRST-YEAR SLOAN DIGITAL SKY SURVEY-II SUPERNOVA RESULTS: HUBBLE DIAGRAM AND COSMOLOGICAL PARAMETERS (2009) — 606 citations