Julie Shah
- Social Psychology top 0.5%
- Human-Automation Interaction and Safety 33
- Social Robot Interaction and HRI 14
- Health Informatics top 1%
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 27
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- AI-based Problem Solving and Planning 25
- Reinforcement Learning in Robotics 17
- Explainable Artificial Intelligence (XAI) 14
- Topic Modeling 12
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- Robotic Path Planning Algorithms 10
- Co-authors
- Przemyslaw A. LasotaTerrence FongVaibhav UnhelkarStefanos NikolaidisMatthew GombolayClaudia Pérez-D’ArpinoBradley HayesCynthia Breazeal
- Journals
- IEEE Robotics and Automation Letters (5 papers)Journal of Artificial Intelligence Research (4 papers)The International Journal of Robotics Research (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Julie Shah
132 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 139
- Social Psychology 1.4k
- Health Informatics 93
- Control and Systems Engineering 1.2k
- Radiological and Ultrasound Technology 261
- Industrial and Manufacturing Engineering 495
Countries citing papers authored by Julie Shah
This map shows the geographic impact of Julie Shah'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 Julie Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Shah more than expected).
Fields of papers citing papers by Julie Shah
This network shows the impact of papers produced by Julie Shah. 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 Julie Shah. The network helps show where Julie Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julie Shah, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 8 | |
| 6 | 2018 | 102 | |
| 7 | Bayesian Inference of Temporal Task Specifications from Demonstrations | 2018 | 29 |
| 8 | 2018 | 19 | |
| 9 | 2017 | 55 | |
| 10 | Learning to tutor from expert demonstrators via apprenticeship scheduling | 2017 | 1 |
| 11 | Fast motion prediction for collaborative robotics | 2016 | 1 |
| 12 | Apprenticeship scheduling: learning to schedule from human experts | 2016 | 17 |
| 13 | Co-optimizating multi-agent placement with task assignment and scheduling | 2016 | 14 |
| 14 | 2015 | 98 | |
| 15 | Mind the Gap: a generative approach to interpretable feature selection and extraction | 2015 | 53 |
| 16 | Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification | 2015 | 1 |
| 17 | Coordination of Human-Robot Teaming with Human Task Preferences. | 2015 | 24 |
| 18 | Fairness in Multi-Agent Sequential Decision-Making | 2014 | 14 |
| 19 | 2013 | 77 | |
| 20 | Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation | 2008 | 17 |
About Julie Shah
Julie Shah is a scholar working on Artificial Intelligence, Health Informatics and Social Psychology, having authored 139 papers that have together received 4.0k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (33 papers), Robot Manipulation and Learning (27 papers), AI-based Problem Solving and Planning (25 papers), Reinforcement Learning in Robotics (17 papers), Explainable Artificial Intelligence (XAI) (14 papers), Social Robot Interaction and HRI (14 papers), Topic Modeling (12 papers) and Robotic Path Planning Algorithms (10 papers). The work is most often cited by research in Social Psychology (1.4k citations), Health Informatics (93 citations) and Control and Systems Engineering (1.2k citations). Julie Shah has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Przemyslaw A. Lasota, Terrence Fong, Vaibhav Unhelkar, Stefanos Nikolaidis, Matthew Gombolay, Claudia Pérez-D’Arpino, Bradley Hayes, Cynthia Breazeal, Brian Williams and Been Kim. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Artificial Intelligence Research, The International Journal of Robotics Research, Human Factors The Journal of the Human Factors and Ergonomics Society and International Journal of Human-Computer Interaction.
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.