Smitha Milli

615 total citations · 1 hit paper
10 papers, 121 citations indexed

About

Smitha Milli is a scholar working on Artificial Intelligence, Sociology and Political Science and General Decision Sciences. According to data from OpenAlex, Smitha Milli has authored 10 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Sociology and Political Science and 3 papers in General Decision Sciences. Recurrent topics in Smitha Milli's work include Decision-Making and Behavioral Economics (3 papers), Digital Marketing and Social Media (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Smitha Milli is often cited by papers focused on Decision-Making and Behavioral Economics (3 papers), Digital Marketing and Social Media (2 papers) and Neural and Behavioral Psychology Studies (2 papers). Smitha Milli collaborates with scholars based in United States and Germany. Smitha Milli's co-authors include Anca D. Dragan, Moritz Hardt, John P. Miller, Falk Lieder, Thomas L. Griffiths, David Bamman, John A. Miller, Micah Carroll, Marti A. Hearst and Bonnie L. Barrilleaux and has published in prestigious journals such as Annals of the New York Academy of Sciences, Cognition and arXiv (Cornell University).

In The Last Decade

Smitha Milli

8 papers receiving 116 citations

Hit Papers

Engagement, user satisfaction, and the amplification of d... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Smitha Milli United States 6 42 27 27 26 15 10 121
Lucy Campbell-Gillingham United Kingdom 3 25 0.6× 29 1.1× 8 0.3× 27 1.0× 7 0.5× 4 100
Snehalkumar S. Gaikwad United States 4 40 1.0× 63 2.3× 15 0.6× 11 0.4× 37 2.5× 5 126
Isabel O. Gallegos United States 3 79 1.9× 17 0.6× 8 0.3× 17 0.7× 5 0.3× 6 156
Myra Cheng United States 4 73 1.7× 36 1.3× 5 0.2× 27 1.0× 10 0.7× 8 191
Joe Barrow United States 5 134 3.2× 17 0.6× 15 0.6× 20 0.8× 6 0.4× 9 210
Hansa Srinivasan United States 2 39 0.9× 52 1.9× 15 0.6× 21 0.8× 9 0.6× 3 92
Julia Noordegraaf Netherlands 6 17 0.4× 8 0.3× 7 0.3× 32 1.2× 7 0.5× 35 160
Nripsuta Ani Saxena United States 5 82 2.0× 106 3.9× 7 0.3× 46 1.8× 30 2.0× 7 158
Markus Anderljung Canada 5 49 1.2× 54 2.0× 6 0.2× 12 0.5× 13 0.9× 10 120
Kamrun Naher Keya United States 6 119 2.8× 92 3.4× 30 1.1× 27 1.0× 8 0.5× 10 200

Countries citing papers authored by Smitha Milli

Since Specialization
Citations

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

Fields of papers citing papers by Smitha Milli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smitha Milli

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

All Works

10 of 10 papers shown
1.
Stray, Jonathan, Bonnie L. Barrilleaux, Ravi Iyer, et al.. (2025). Ranking by engagement and non‐engagement signals: Learnings from industry. Annals of the New York Academy of Sciences. 1551(1). 19–32.
2.
Milli, Smitha, et al.. (2025). Engagement, user satisfaction, and the amplification of divisive content on social media. PNAS Nexus. 4(3). pgaf062–pgaf062. 14 indexed citations breakdown →
3.
Milli, Smitha, Luca Belli, & Moritz Hardt. (2022). Causal Inference Struggles with Agency on Online Platforms. arXiv (Cornell University). 357–365.
4.
Milli, Smitha, Falk Lieder, & Thomas L. Griffiths. (2021). A rational reinterpretation of dual-process theories. Cognition. 217. 104881–104881. 22 indexed citations
5.
Miller, John A. & Smitha Milli. (2020). Strategic Classification is Causal Modeling in Disguise. International Conference on Machine Learning. 1. 6917–6926. 10 indexed citations
6.
Milli, Smitha, et al.. (2020). Reward-rational (implicit) choice: A unifying formalism for reward learning. Neural Information Processing Systems. 33. 4415–4426. 4 indexed citations
7.
Milli, Smitha, John P. Miller, Anca D. Dragan, & Moritz Hardt. (2019). The Social Cost of Strategic Classification. 230–239. 50 indexed citations
8.
Milli, Smitha, Falk Lieder, & Thomas L. Griffiths. (2017). When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 7 indexed citations
9.
Milli, Smitha & Marti A. Hearst. (2016). Augmenting Course Material with Open Access Textbooks. 229–234. 1 indexed citations
10.
Milli, Smitha & David Bamman. (2016). Beyond Canonical Texts: A Computational Analysis of Fanfiction. 2048–2053. 13 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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