Ashton Anderson

3.7k total citations · 2 hit papers
47 papers, 1.9k citations indexed

About

Ashton Anderson is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Ashton Anderson has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Sociology and Political Science, 17 papers in Statistical and Nonlinear Physics and 11 papers in Artificial Intelligence. Recurrent topics in Ashton Anderson's work include Opinion Dynamics and Social Influence (13 papers), Complex Network Analysis Techniques (12 papers) and Digital Marketing and Social Media (7 papers). Ashton Anderson is often cited by papers focused on Opinion Dynamics and Social Influence (13 papers), Complex Network Analysis Techniques (12 papers) and Digital Marketing and Social Media (7 papers). Ashton Anderson collaborates with scholars based in Canada, United States and United Kingdom. Ashton Anderson's co-authors include Jon Kleinberg, Jure Leskovec, Daniel P. Huttenlocher, Sharad Goel, Duncan J. Watts, Jake M. Hofman, Lucas Maystre, Mounia Lalmas, Rishabh Mehrotra and Robert West and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Management Science.

In The Last Decade

Ashton Anderson

41 papers receiving 1.8k citations

Hit Papers

The Structural Virality of Online Diffusion 2014 2026 2018 2022 2015 2014 100 200 300
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.

  1. The Structural Virality of Online Diffusion
    2015 360 citations Sharad Goel, Ashton Anderson et al. profile →
  2. Engaging with massive online courses
    2014 343 citations Ashton Anderson, Jon Kleinberg et al. profile →

Peers

Ashton Anderson
Justin Cheng United States
Casey Dugan United States
Claudia Hauff Netherlands
Wai‐Tat Fu United States
Dan Frankowski United States
Jaime Arguello United States
Brian Keegan United States
Soo Young Rieh United States
Haiyi Zhu United States
Al Mamunur Rashid United States
Justin Cheng United States
Ashton Anderson
Citations per year, relative to Ashton Anderson Ashton Anderson (= 1×) peers Justin Cheng

Countries citing papers authored by Ashton Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Ashton Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashton Anderson

This figure shows the co-authorship network connecting the top 25 collaborators of Ashton Anderson. A scholar is included among the top collaborators of Ashton Anderson 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 Ashton Anderson. Ashton Anderson 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.
2.
Anderson, Ashton, et al.. (2025). Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking. 1–18. 5 indexed citations
3.
Anderson, Ashton, et al.. (2025). Capturing Dynamics in Online Public Discourse: A Case Study of Universal Basic Income Discussions on Reddit. Proceedings of the International AAAI Conference on Web and Social Media. 19. 1021–1037.
4.
5.
Gligorić, Kristina, et al.. (2023). Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report). PLoS ONE. 18(3). e0281682–e0281682. 9 indexed citations
6.
Anderson, Ashton, et al.. (2023). Reddit in the Time of COVID. Proceedings of the International AAAI Conference on Web and Social Media. 17. 878–889. 2 indexed citations
7.
Anderson, Ashton, et al.. (2022). Quantifying the Creator Economy: A Large-Scale Analysis of Patreon. Proceedings of the International AAAI Conference on Web and Social Media. 16. 829–840. 7 indexed citations
8.
Wang, Yu, et al.. (2022). Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. arXiv (Cornell University). 34. 6 indexed citations
9.
Gligorić, Kristina, et al.. (2021). Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol). PLoS ONE. 16(9). e0257091–e0257091. 5 indexed citations
10.
Anderson, Ashton, et al.. (2021). Imagine All the People: Characterizing Social Music Sharing on Reddit. Proceedings of the International AAAI Conference on Web and Social Media. 15. 739–750. 3 indexed citations
11.
Anderson, Ashton, et al.. (2020). Quantifying social organization and political polarization in online platforms. arXiv (Cornell University). 80 indexed citations
12.
Anderson, Ashton, et al.. (2019). Understanding the Origins of Bias in Word Embeddings. International Conference on Machine Learning. 803–811. 15 indexed citations
13.
Anderson, Ashton, et al.. (2018). Personal bests as reference points. Proceedings of the National Academy of Sciences. 115(8). 1772–1776. 20 indexed citations
14.
Gligorić, Kristina, Ashton Anderson, & Robert West. (2018). How Character Limits Affect the Style and Success of Microposts: The Case of Twitter's Switch from 140 to 280. arXiv (Cornell University). 1 indexed citations
15.
Gligorić, Kristina, Ashton Anderson, & Robert West. (2018). How Constraints Affect Content: The Case of Twitter’s Switch from 140 to 280 Characters. Proceedings of the International AAAI Conference on Web and Social Media. 12(1). 33 indexed citations
16.
Martin, Travis, Jake M. Hofman, Amit Sharma, Duncan J. Watts, & Ashton Anderson. (2016). Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter.
17.
Scott, Alison, et al.. (2016). Experiences of Students in Recovery on a Rural College Campus. SAGE Open. 6(4). 18 indexed citations
18.
Anderson, Ashton, Sharad Goel, Gregory A. Huber, Neil Malhotra, & Duncan J. Watts. (2014). Political Ideology and Racial Preferences in Online Dating. Sociological Science. 28–40. 41 indexed citations
19.
Anderson, Ashton, Dan Jurafsky, & Daniel A. McFarland. (2012). Towards a Computational History of the ACL: 1980-2008. Meeting of the Association for Computational Linguistics. 13–21. 25 indexed citations
20.
Anderson, Ashton, Yoav Shoham, & Alon Altman. (2010). Internal implementation. Adaptive Agents and Multi-Agents Systems. 191–198. 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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