Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
corner.py: Scatterplot matrices in Python
20161.3k citationsDaniel Foreman-MackeyThe Journal of Open Source Softwareprofile →
Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series
2017370 citationsDaniel Foreman-Mackey, Eric Agol et al.The Astronomical Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel Foreman-Mackey
Since
Specialization
Citations
This map shows the geographic impact of Daniel Foreman-Mackey'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 Daniel Foreman-Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Foreman-Mackey more than expected).
Fields of papers citing papers by Daniel Foreman-Mackey
This network shows the impact of papers produced by Daniel Foreman-Mackey. 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 Daniel Foreman-Mackey. The network helps show where Daniel Foreman-Mackey may publish in the future.
Co-authorship network of co-authors of Daniel Foreman-Mackey
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Foreman-Mackey.
A scholar is included among the top collaborators of Daniel Foreman-Mackey 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 Daniel Foreman-Mackey. Daniel Foreman-Mackey is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Luger, Rodrigo, Eric Agol, Daniel Foreman-Mackey, et al.. (2018). STARRY: Analytic computation of occultation light curves. Astrophysics Source Code Library.
16.
Foreman-Mackey, Daniel, Eric Agol, Sivaram Ambikasaran, & Ruth Angus. (2017). celerite: Scalable 1D Gaussian Processes in C++, Python, and Julia. ascl.2 indexed citations
17.
Hogg, David W., Andrew R. Casey, Melissa Ness, et al.. (2016). Chemical Tagging can Work: Identificaton of Stellar Phase-Space Structures Purely by Chemical-Abudance Similarity. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).51 indexed citations
Angus, Ruth, S. Aigrain, & Daniel Foreman-Mackey. (2015). Probabilistic stellar rotation periods with Gaussian processes. 29. 2258396.1 indexed citations
20.
Ambikasaran, Sivaram, Daniel Foreman-Mackey, Leslie Greengard, David W. Hogg, & Michael O’Neil. (2014). Fast Direct Methods for Gaussian Processes and the Analysis of NASA Kepler Mission Data. arXiv (Cornell University).7 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.