Julia Silge

1.8k total citations · 2 hit papers
9 papers, 985 citations indexed

About

Julia Silge is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Julia Silge has authored 9 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Astronomy and Astrophysics, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Julia Silge's work include Advanced Text Analysis Techniques (2 papers), Galaxies: Formation, Evolution, Phenomena (2 papers) and Stellar, planetary, and galactic studies (2 papers). Julia Silge is often cited by papers focused on Advanced Text Analysis Techniques (2 papers), Galaxies: Formation, Evolution, Phenomena (2 papers) and Stellar, planetary, and galactic studies (2 papers). Julia Silge collaborates with scholars based in United States and Austria. Julia Silge's co-authors include David M. Robinson, David J. Robinson, Karl Gebhardt, Marcel Bergmann, D. O. Richstone, Jim Hester, John C. Nash and Spencer Graves and has published in prestigious journals such as The Astronomical Journal, The R Journal and INFM-OAR (INFN Catania).

In The Last Decade

Julia Silge

6 papers receiving 928 citations

Hit Papers

align trajectories

What are hit papers?

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.

tidytext: Text Mining and Analysis Using Tidy Data Principles in R

2016 561 citations Julia Silge, David M. Robinson The Journal of Open Source Software profile →
Text Mining with R: A Tidy Approach

2017 326 citations Julia Silge, David J. Robinson CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Silge United States	5	259	189	100	88	87	9	985
Federica Russo Netherlands	20	370 1.4×	196 1.0×	48 0.5×	42 0.5×	23 0.3×	86	1.8k
James Johnson United Kingdom	13	498 1.9×	104 0.6×	40 0.4×	229 2.6×	19 0.2×	40	1.5k
Lisa Singh United States	16	287 1.1×	335 1.8×	66 0.7×	69 0.8×	44 0.5×	88	982
Will Grant Australia	18	525 2.0×	81 0.4×	61 0.6×	386 4.4×	11 0.1×	38	1.3k
Anne Beaulieu Netherlands	21	382 1.5×	69 0.4×	61 0.6×	132 1.5×	14 0.2×	66	1.4k
Gary Edmond Australia	19	229 0.9×	100 0.5×	154 1.5×	14 0.2×	50 0.6×	107	1.1k
Iina Hellsten Netherlands	22	646 2.5×	126 0.7×	58 0.6×	432 4.9×	57 0.7×	64	1.5k
Alondra Nelson United States	13	386 1.5×	47 0.2×	43 0.4×	60 0.7×	32 0.4×	27	1.3k
Petter Törnberg Netherlands	18	626 2.4×	176 0.9×	40 0.4×	377 4.3×	83 1.0×	47	1.2k
Benjamin Lauderdale United Kingdom	22	397 1.5×	161 0.9×	28 0.3×	162 1.8×	170 2.0×	52	1.8k

Countries citing papers authored by Julia Silge

Since Specialization

Citations

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

Fields of papers citing papers by Julia Silge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Silge

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Robinson, David J. & Julia Silge. (2021). Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools [R package tidytext version 0.3.1].

2.

Silge, Julia, et al.. (2021). Supervised Machine Learning for Text Analysis in R. 35 indexed citations

3.

Silge, Julia, et al.. (2020). Weighted Tidy Log Odds Ratio [R package tidylo version 0.1.0]. 1 indexed citations

4.

Silge, Julia, John C. Nash, & Spencer Graves. (2019). Navigating the R Package Universe. The R Journal. 10(2). 558–558. 1 indexed citations

5.

Silge, Julia & David J. Robinson. (2017). Text Mining with R: A Tidy Approach. CERN Document Server (European Organization for Nuclear Research). 326 indexed citations breakdown →

6.

Silge, Julia & David M. Robinson. (2016). tidytext: Text Mining and Analysis Using Tidy Data Principles in R. The Journal of Open Source Software. 1(3). 37–37. 561 indexed citations breakdown →

7.

Silge, Julia, David M. Robinson, & Jim Hester. (2016). tidytext: tidytext v0.1.1. INFM-OAR (INFN Catania). 1 indexed citations

8.

Silge, Julia, Karl Gebhardt, Marcel Bergmann, & D. O. Richstone. (2005). Gemini Near Infrared Spectrograph Observations of the Central Supermassive Black Hole in Centaurus A. The Astronomical Journal. 130(2). 406–417. 41 indexed citations

9.

Silge, Julia & Karl Gebhardt. (2003). Dust and the Infrared Kinematic Properties of Early-Type Galaxies. The Astronomical Journal. 125(6). 2809–2823. 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.

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