Citations per year, relative to JJ Allaire JJ Allaire (= 1×)
peers
Yihui Xie
Countries citing papers authored by JJ Allaire
Since
Specialization
Citations
This map shows the geographic impact of JJ Allaire'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 JJ Allaire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JJ Allaire more than expected).
This network shows the impact of papers produced by JJ Allaire. 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 JJ Allaire. The network helps show where JJ Allaire may publish in the future.
Co-authorship network of co-authors of JJ Allaire
This figure shows the co-authorship network connecting the top 25 collaborators of JJ Allaire.
A scholar is included among the top collaborators of JJ Allaire 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 JJ Allaire. JJ Allaire is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Allaire, JJ & François Chollet. (2021). R Interface to 'Keras' [R package keras version 2.6.1].1 indexed citations
2.
Xie, Yihui, et al.. (2020). HTML Widgets for R [R package htmlwidgets version 1.5.3].2 indexed citations
3.
Iannone, Richard, et al.. (2020). R Markdown Format for Flexible Dashboards [R package flexdashboard version 0.5.2].3 indexed citations
4.
Schloerke, Barret, et al.. (2020). Interactive Tutorials for R [R package learnr version 0.10.1].2 indexed citations
5.
Allaire, JJ, et al.. (2020). R Interface to 'TensorFlow' [R package tensorflow version 2.2.0].2 indexed citations
6.
Ushey, Kevin, et al.. (2020). Safely Access the RStudio API [R package rstudioapi version 0.13].1 indexed citations
7.
Allaire, JJ, et al.. (2019). Render Markdown with the C Library 'Sundown' [R package markdown version 1.1].8 indexed citations
8.
Chollet, François & JJ Allaire. (2018). Deep Learning with R. CERN Document Server (European Organization for Nuclear Research).61 indexed citations
9.
Chollet, François & JJ Allaire. (2018). Deep Learning mit R und Keras.4 indexed citations
Xie, Yihui, JJ Allaire, & Garrett Grolemund. (2018). R Markdown: The Definitive Guide. CERN Bulletin.79 indexed citations
12.
Allaire, JJ, et al.. (2018). Distill for R Markdown.
13.
Allaire, JJ, et al.. (2018). Interface to 'TensorFlow' Estimators [R package tfestimators version 1.9.1].1 indexed citations
14.
Allaire, JJ, et al.. (2017). D3 JavaScript Network Graphs from R [R package networkD3 version 0.4].15 indexed citations
15.
Chollet, François & JJ Allaire. (2017). TensorFlow for R: Image Classification on Small Datasets with Keras.1 indexed citations
16.
Chollet, François & JJ Allaire. (2017). RStudio AI Blog: Time Series Forecasting with Recurrent Neural Networks.
17.
Allaire, JJ, et al.. (2016). Parallel Programming Tools for 'Rcpp'.1 indexed citations
18.
Chang, Winston, Joe Cheng, JJ Allaire, Yihui Xie, & Jonathan McPherson. (2016). Web Application Framework for R.170 indexed citations
19.
Xie, Yihui, et al.. (2015). HTML Widgets for R.3 indexed citations
20.
Gandrud, Christopher, et al.. (2015). D3 JavaScript Network Graphs from R.19 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.