Carson Sievert

4.8k total citations · 3 hit papers
12 papers, 1.9k citations indexed

About

Carson Sievert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Carson Sievert has authored 12 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Carson Sievert's work include Data Analysis with R (4 papers), Data Visualization and Analytics (2 papers) and Advanced Text Analysis Techniques (1 paper). Carson Sievert is often cited by papers focused on Data Analysis with R (4 papers), Data Visualization and Analytics (2 papers) and Advanced Text Analysis Techniques (1 paper). Carson Sievert collaborates with scholars based in United States, Israel and Austria. Carson Sievert's co-authors include Kenneth E. Shirley, Tal Galili, Jonathan Sidi, Alan O’Callaghan, Toby Dylan Hocking, Karthik Ram, Brandon Greenwell, Simon Garnier, Scott Chamberlain and Antoine Filipović-Pierucci and has published in prestigious journals such as Bioinformatics, Journal of Computational and Graphical Statistics and The R Journal.

In The Last Decade

Carson Sievert

11 papers receiving 1.8k citations

Hit Papers

LDAvis: A method for visualizing and interpreting topics 2014 2026 2018 2022 2014 2020 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carson Sievert United States 6 363 357 285 155 154 12 1.9k
Jintao Li China 28 213 0.6× 768 2.2× 221 0.8× 90 0.6× 54 0.4× 143 3.1k
Jevin D. West United States 21 142 0.4× 382 1.1× 454 1.6× 40 0.3× 131 0.9× 68 2.6k
Bettina Grün Austria 36 211 0.6× 921 2.6× 1.6k 5.6× 187 1.2× 101 0.7× 119 5.7k
Tommaso Venturini France 19 345 1.0× 312 0.9× 1.2k 4.2× 76 0.5× 88 0.6× 62 3.5k
Derek Ruths Canada 24 653 1.8× 582 1.6× 712 2.5× 47 0.3× 121 0.8× 68 2.6k
Andrej Mrvar Slovenia 20 470 1.3× 479 1.3× 665 2.3× 30 0.2× 118 0.8× 40 4.1k
Sabina Leonelli United Kingdom 33 689 1.9× 293 0.8× 440 1.5× 23 0.1× 137 0.9× 105 3.1k
John Bohannon United States 19 411 1.1× 134 0.4× 468 1.6× 16 0.1× 157 1.0× 162 2.6k
Marta Sales‐Pardo Spain 26 1.1k 2.9× 663 1.9× 290 1.0× 12 0.1× 153 1.0× 70 4.0k

Countries citing papers authored by Carson Sievert

Since Specialization
Citations

This map shows the geographic impact of Carson Sievert'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 Carson Sievert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carson Sievert more than expected).

Fields of papers citing papers by Carson Sievert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carson Sievert. 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 Carson Sievert. The network helps show where Carson Sievert may publish in the future.

Co-authorship network of co-authors of Carson Sievert

This figure shows the co-authorship network connecting the top 25 collaborators of Carson Sievert. A scholar is included among the top collaborators of Carson Sievert 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 Carson Sievert. Carson Sievert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Sievert, Carson, et al.. (2021). Create Interactive Web Graphics via 'plotly.js' [R package plotly version 4.10.0]. 6 indexed citations
2.
Cheng, Joe & Carson Sievert. (2021). Inter-Widget Interactivity for HTML Widgets [R package crosstalk version 1.1.1].
3.
Garnier, Simon, et al.. (2021). sjmgarnier/viridis: viridis 0.6.0 (pre-CRAN release). Zenodo (CERN European Organization for Nuclear Research). 58 indexed citations
4.
Sievert, Carson. (2020). Interactive Web-Based Data Visualization with R, plotly, and shiny. 534 indexed citations breakdown →
5.
Xie, Yihui, et al.. (2020). HTML Widgets for R [R package htmlwidgets version 1.5.3]. 2 indexed citations
6.
Sievert, Carson, et al.. (2018). Extending ggplot2 for Linked and Animated Web Graphics. Journal of Computational and Graphical Statistics. 28(2). 299–308. 3 indexed citations
7.
Galili, Tal, Alan O’Callaghan, Jonathan Sidi, & Carson Sievert. (2017). heatmaply: an R package for creating interactive cluster heatmaps for online publishing. Bioinformatics. 34(9). 1600–1602. 383 indexed citations breakdown →
8.
Sievert, Carson, et al.. (2015). Create Interactive Web Graphics via Plotly's JavaScript GraphingLibrary. 37 indexed citations
9.
Sievert, Carson, et al.. (2015). Interactive Visualization of Topic Models [R package LDAvis version 0.3.2]. 4 indexed citations
10.
Sievert, Carson & Kenneth E. Shirley. (2014). LDAvis: A method for visualizing and interpreting topics. 63–70. 856 indexed citations breakdown →
11.
Sievert, Carson. (2014). Taming PITCHf/x Data with XML2R and. 1 indexed citations
12.
Sievert, Carson. (2014). Taming PITCHf/x Data with XML2R and pitchRx. The R Journal. 6(1). 5–5. 5 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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