Jacob T. VanderPlas

460 total citations
12 papers, 243 citations indexed

About

Jacob T. VanderPlas is a scholar working on Information Systems and Management, Instrumentation and Information Systems. According to data from OpenAlex, Jacob T. VanderPlas has authored 12 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems and Management, 3 papers in Instrumentation and 2 papers in Information Systems. Recurrent topics in Jacob T. VanderPlas's work include Astronomy and Astrophysical Research (3 papers), Scientific Computing and Data Management (3 papers) and Research Data Management Practices (2 papers). Jacob T. VanderPlas is often cited by papers focused on Astronomy and Astrophysical Research (3 papers), Scientific Computing and Data Management (3 papers) and Research Data Management Practices (2 papers). Jacob T. VanderPlas collaborates with scholars based in United States, Netherlands and Australia. Jacob T. VanderPlas's co-authors include Andrew J. Connolly, Željko Ivezić, Alexander Gray, Ariel Rokem, Karthik Ram, David W. Hogg, A. A. Arendt, Daniela Huppenkothen, Magdalena Bałazińska and Marina Meilă and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Machine Learning Research and Proceedings of the VLDB Endowment.

In The Last Decade

Jacob T. VanderPlas

12 papers receiving 238 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jacob T. VanderPlas United States	8	60	45	45	45	33	12	243
Olivia Choudhury United States	9	61 1.0×	62 1.4×	117 2.6×	23 0.5×	72 2.2×	20	311
Thomas Uram United States	10	29 0.5×	126 2.8×	38 0.8×	71 1.6×	44 1.3×	37	314
Julián Garrido Spain	11	154 2.6×	44 1.0×	52 1.2×	56 1.2×	50 1.5×	37	293
Arthur Trew United Kingdom	10	14 0.2×	96 2.1×	24 0.5×	19 0.4×	51 1.5×	39	294
R. C. Thomas United States	9	37 0.6×	53 1.2×	35 0.8×	38 0.8×	29 0.9×	19	157
José Enrique Ruiz Spain	9	151 2.5×	73 1.6×	80 1.8×	95 2.1×	22 0.7×	25	268
Lucia Morganti Italy	9	178 3.0×	73 1.6×	31 0.7×	10 0.2×	24 0.7×	27	297
S. Chandra India	11	222 3.7×	81 1.8×	144 3.2×	20 0.4×	63 1.9×	39	446
Christopher Stoughton United States	5	27 0.5×	83 1.8×	29 0.6×	29 0.6×	34 1.0×	8	151
Sheng-Chieh Lin Canada	9	57 0.9×	13 0.3×	106 2.4×	10 0.2×	335 10.2×	28	498

Countries citing papers authored by Jacob T. VanderPlas

Since Specialization

Citations

This map shows the geographic impact of Jacob T. 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 Jacob T. VanderPlas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob T. VanderPlas more than expected).

Fields of papers citing papers by Jacob T. VanderPlas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob T. 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 Jacob T. VanderPlas. The network helps show where Jacob T. VanderPlas may publish in the future.

Co-authorship network of co-authors of Jacob T. VanderPlas

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob T. VanderPlas. A scholar is included among the top collaborators of Jacob T. VanderPlas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacob T. VanderPlas. Jacob T. VanderPlas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Connolly, Andrew J., et al.. (2020). Statistics, Data Mining, and Machine Learning in Astronomy. Princeton University Press eBooks. 9 indexed citations

Ivezić, Željko, Andrew J. Connolly, Jacob T. VanderPlas, & Alexander Gray. (2019). Statistics, Data Mining, and Machine Learning in Astronomy. Princeton University Press eBooks. 59 indexed citations

Ivezić, Željko, Andrew J. Connolly, Jacob T. VanderPlas, & Alexander Gray. (2019). Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data, Updated Edition. 3 indexed citations

Smith, Arfon M., Kyle E. Niemeyer, Daniel S. Katz, et al.. (2018). Journal of Open Source Software (JOSS): design and first-year review. PeerJ Computer Science. 4. e147–e147. 32 indexed citations

Azizieh, Fawaz, Kamaludin Dingle, Raj Raghupathy, et al.. (2018). Multivariate analysis of cytokine profiles in pregnancy complications. American Journal of Reproductive Immunology. 79(3). 21 indexed citations

Huppenkothen, Daniela, A. A. Arendt, David W. Hogg, et al.. (2018). Hack weeks as a model for data science education and collaboration. Proceedings of the National Academy of Sciences. 115(36). 8872–8877. 49 indexed citations

Smith, Arfon M., George Githinji, Melissa Gymrek, et al.. (2017). Journal of Open Source Software (JOSS). Faculty of 1000 Research Ltd. 6. 1 indexed citations

Kaftan, Tomer, Alvin Cheung, Magdalena Bałazińska, et al.. (2017). Comparative evaluation of big-data systems on scientific image analytics workloads. Proceedings of the VLDB Endowment. 10(11). 1226–1237. 38 indexed citations

McQueen, James M., Marina Meilă, Jacob T. VanderPlas, & Zhongyue Zhang. (2016). Megaman: scalable manifold learning in python. Journal of Machine Learning Research. 17(1). 5176–5180. 14 indexed citations

10.

Aragón, Cecilia, A. A. Arendt, Brittany Fiore-Gartland, et al.. (2015). Building an Urban Data Science Summer Program at the University of Washington eScience Institute. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

11.

VanderPlas, Jacob T., et al.. (2014). AstroML: Machine learning and data mining in astronomy. Astrophysics Source Code Library. 5 indexed citations

12.

VanderPlas, Jacob T., Emad Soroush, K. Simon Krughoff, & Magdalena Bałazińska. (2013). Squeezing a Big Orange into Little Boxes: The AscotDB System for Parallel Processing of Data on a Sphere.. IEEE Data(base) Engineering Bulletin. 36. 11–20. 11 indexed citations

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.

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