Smitha Milli
Impact in
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- Decision-Making and Behavioral Economics
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- Ethics and Social Impacts of AI
- Experimental Behavioral Economics Studies
Papers in
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- Artificial Intelligence in Games 1
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- Digital Marketing and Social Media 2
- Co-authors
- Anca D. Dragan (3 shared papers)John P. Miller (1 shared paper)Moritz Hardt (2 shared papers)Thomas L. Griffiths (2 shared papers)Falk Lieder (2 shared papers)David Bamman (1 shared paper)John A. Miller (1 shared paper)Micah Carroll (1 shared paper)
- Journals
- Annals of the New York Academy of Sciences (1 paper)Cognition (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Smitha Milli
8 papers receiving 116 citations
Smitha Milli's Hit Papers
Peers
Comparison fields: 5 of 48
- General Decision Sciences 10
- Safety Research 27
- Management Science and Operations Research 27
- Artificial Intelligence 42
- Cognitive Neuroscience 15
Countries citing papers authored by Smitha Milli
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
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-authors
The 15 scholars most cited alongside Smitha Milli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 50 | |
| 2 | 2021 | 22 | |
| 3 | Engagement, user satisfaction, and the amplification of divisive content on social media Hit paper breakdown → | 2025 | 14 |
| 4 | 2016 | 13 | |
| 5 | Strategic Classification is Causal Modeling in Disguise | 2020 | 10 |
| 6 | 2017 | 7 | |
| 7 | Reward-rational (implicit) choice: A unifying formalism for reward learning | 2020 | 4 |
| 8 | 2016 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2022 | 0 |
About Smitha Milli
Smitha Milli is a scholar working on Artificial Intelligence, Sociology and Political Science, General Decision Sciences, Communication and Cognitive Neuroscience, having authored 10 papers that have together received 121 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (3 papers), Digital Marketing and Social Media (2 papers), Neural and Behavioral Psychology Studies (2 papers), Complex Network Analysis Techniques (1 paper), Social Media and Politics (1 paper), Wikis in Education and Collaboration (1 paper), Artificial Intelligence in Games (1 paper) and Digital Humanities and Scholarship (1 paper). The work is most often cited by research in General Decision Sciences (10 citations), Safety Research (27 citations), Management Science and Operations Research (27 citations), Artificial Intelligence (42 citations) and Cognitive Neuroscience (15 citations). Smitha Milli has collaborated with scholars based in United States and Germany. Frequent co-authors include Anca D. Dragan, John P. Miller, Moritz Hardt, Thomas L. Griffiths, Falk Lieder, David Bamman, John A. Miller, Micah Carroll, Marti A. Hearst and Ravi Iyer. Their work appears in journals such as Annals of the New York Academy of Sciences, Cognition, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Neural Information Processing Systems.
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.