Jake Vanderplas
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 5%
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Astro and Planetary Science
- Pulsars and Gravitational Waves Research
Papers in
-
- Computational Physics and Python Applications 5
- Advanced Clustering Algorithms Research 1
-
- Stellar, planetary, and galactic studies 3
- Co-authors
- Bhuvnesh Jain (1 shared paper)Arvind Satyanarayan (1 shared paper)Dominik Moritz (1 shared paper)Kanit Wongsuphasawat (1 shared paper)Jeffrey Heer (1 shared paper)Brian Granger (1 shared paper)Scott Sievert (1 shared paper)Andrew J. Connolly (3 shared papers)
- Journals
- The Astrophysical Journal Supplement Series (1 paper)The Astronomical Journal (1 paper)Astronomy and Computing (1 paper)Proceedings of the VLDB Endowment (1 paper)Journal of Cosmology and Astroparticle Physics (1 paper)
- Partner nations
- United StatesArgentina
In The Last Decade
Jake Vanderplas
16 papers receiving 1.2k citations
Jake Vanderplas's Hit Papers
Peers
Comparison fields: 5 of 156
- Instrumentation 134
- Astronomy and Astrophysics 610
- Nuclear and High Energy Physics 152
- Information Systems and Management 42
- Oceanography 71
Countries citing papers authored by Jake Vanderplas
This map shows the geographic impact of Jake Vanderplas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jake Vanderplas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Vanderplas more than expected).
Fields of papers citing papers by Jake Vanderplas
This network shows the impact of papers produced by Jake Vanderplas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jake Vanderplas. The network helps show where Jake Vanderplas may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake Vanderplas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Understanding the Lomb–Scargle Periodogram Hit paper breakdown → | 2018 | 737 |
| 2 | Python data science handbook essential tools for working with data | 2016 | 169 |
| 3 | 2018 | 136 | |
| 4 | 2017 | 78 | |
| 5 | 2011 | 47 | |
| 6 | 2011 | 27 | |
| 7 | 2018 | 27 | |
| 8 | 2015 | 22 | |
| 9 | A Practical Taxonomy of Reproducibility for Machine Learning Research | 2018 | 20 |
| 10 | 2018 | 18 | |
| 11 | 2016 | 6 | |
| 12 | 2013 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2017 | 0 | |
| 18 | Data Science mit Python | 2017 | 0 |
| 19 | 2015 | 0 | |
| 20 | 2016 | 0 |
About Jake Vanderplas
Jake Vanderplas is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Information Systems and Management, Instrumentation and Signal Processing, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Physics and Python Applications (5 papers), Stellar, planetary, and galactic studies (3 papers), Scientific Computing and Data Management (3 papers), Astronomy and Astrophysical Research (3 papers), Blind Source Separation Techniques (2 papers), Artificial Immune Systems Applications (1 paper), Advanced Clustering Algorithms Research (1 paper) and Astronomical Observations and Instrumentation (1 paper). The work is most often cited by research in Instrumentation (134 citations), Astronomy and Astrophysics (610 citations), Nuclear and High Energy Physics (152 citations), Information Systems and Management (42 citations) and Oceanography (71 citations). Jake Vanderplas has collaborated with scholars based in United States and Argentina. Frequent co-authors include Bhuvnesh Jain, Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, Jeffrey Heer, Brian Granger, Scott Sievert, Andrew J. Connolly, Jeff Schneider and Liang Xiong. Their work appears in journals such as The Astrophysical Journal Supplement Series, The Astronomical Journal, Astronomy and Computing, Proceedings of the VLDB Endowment and Journal of Cosmology and Astroparticle Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.