Smitha Milli
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Privacy-Preserving Technologies in Data
Papers in
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- Decision-Making and Behavioral Economics 4
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- Ethics and Social Impacts of AI 3
- Co-authors
- Anca D. Dragan (4 shared papers)Moritz Hardt (4 shared papers)Ludwig Schmidt (1 shared paper)John P. Miller (1 shared paper)Falk Lieder (3 shared papers)Thomas L. Griffiths (3 shared papers)Micah Carroll (1 shared paper)Luca Belli (2 shared papers)
- Journals
- Annals of the New York Academy of Sciences (1 paper)Cognition (1 paper)International Conference on Machine Learning (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Workshop on Innovative Use of NLP for Building Educational Applications (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Smitha Milli
12 papers receiving 348 citations
Smitha Milli's Hit Papers
Peers
Comparison fields: 5 of 51
- Safety Research 89
- Artificial Intelligence 150
- General Decision Sciences 13
- Management Science and Operations Research 25
- General Social Sciences 4
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 21 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 | 98 | |
| 2 | 2019 | 83 | |
| 3 | Engagement, user satisfaction, and the amplification of divisive content on social media Hit paper breakdown → | 2025 | 51 |
| 4 | 2021 | 27 | |
| 5 | 2021 | 25 | |
| 6 | 2017 | 23 | |
| 7 | Strategic Classification is Causal Modeling in Disguise | 2020 | 17 |
| 8 | 2016 | 14 | |
| 9 | 2017 | 10 | |
| 10 | 2018 | 5 | |
| 11 | 2016 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2022 | 0 | |
| 14 | 2024 | 0 |
About Smitha Milli
Smitha Milli is a scholar working on General Decision Sciences, Safety Research, Artificial Intelligence, Statistics and Probability and Information Systems, having authored 14 papers that have together received 355 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (4 papers), Ethics and Social Impacts of AI (3 papers), Advanced Causal Inference Techniques (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Recommender Systems and Techniques (2 papers), Information Retrieval and Search Behavior (2 papers), Psychiatry, Mental Health, Neuroscience (1 paper) and Reinforcement Learning in Robotics (1 paper). The work is most often cited by research in Safety Research (89 citations), Artificial Intelligence (150 citations), General Decision Sciences (13 citations), Management Science and Operations Research (25 citations) and General Social Sciences (4 citations). Smitha Milli has collaborated with scholars based in United States and Germany. Frequent co-authors include Anca D. Dragan, Moritz Hardt, Ludwig Schmidt, John P. Miller, Falk Lieder, Thomas L. Griffiths, Micah Carroll, Luca Belli, John Arthur Miller and David Bamman. Their work appears in journals such as Annals of the New York Academy of Sciences, Cognition, International Conference on Machine Learning, International Joint Conference on Artificial Intelligence and Workshop on Innovative Use of NLP for Building Educational Applications.
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.