Mariah Schrum
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Social Psychology top 10%
- Social Robot Interaction and HRI
- Human-Automation Interaction and Safety
Papers in
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- Reinforcement Learning in Robotics 3
- AI in Service Interactions 2
-
- Social Robot Interaction and HRI 4
- Human-Automation Interaction and Safety 2
- Co-authors
- Matthew Gombolay (13 shared papers)Michael Johnson (3 shared papers)Nakul Gopalan (3 shared papers)Andrew Silva (3 shared papers)Ayanna M. Howard (2 shared papers)Chung Hyuk Park (1 shared paper)Manisha Natarajan (2 shared papers)Andrew Best (1 shared paper)
- Journals
- IEEE Transactions on Robotics (1 paper)Annals of Clinical and Translational Neurology (1 paper)International Journal of Human-Computer Interaction (1 paper)World Neurosurgery (1 paper)ACM Transactions on Human-Robot Interaction (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Mariah Schrum
15 papers receiving 247 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 16
- Social Psychology 97
- Human-Computer Interaction 25
- Safety Research 32
- Artificial Intelligence 102
Countries citing papers authored by Mariah Schrum
This map shows the geographic impact of Mariah Schrum'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 Mariah Schrum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariah Schrum more than expected).
Fields of papers citing papers by Mariah Schrum
This network shows the impact of papers produced by Mariah Schrum. 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 Mariah Schrum. The network helps show where Mariah Schrum may publish in the future.
Co-authors
The 20 scholars most cited alongside Mariah Schrum, 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 | 2022 | 53 | |
| 2 | 2020 | 48 | |
| 3 | 2022 | 23 | |
| 4 | 2019 | 20 | |
| 5 | 2019 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 11 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 2 |
About Mariah Schrum
Mariah Schrum is a scholar working on Artificial Intelligence, Social Psychology, Control and Systems Engineering, Safety Research and Applied Psychology, having authored 15 papers that have together received 256 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (4 papers), Behavioral Health and Interventions (3 papers), Reinforcement Learning in Robotics (3 papers), Ethics and Social Impacts of AI (3 papers), Human-Automation Interaction and Safety (2 papers), Robot Manipulation and Learning (2 papers), Occupational Health and Safety Research (2 papers) and AI in Service Interactions (2 papers). The work is most often cited by research in Health Informatics (16 citations), Social Psychology (97 citations), Human-Computer Interaction (25 citations), Safety Research (32 citations) and Artificial Intelligence (102 citations). Mariah Schrum has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Matthew Gombolay, Michael Johnson, Nakul Gopalan, Andrew Silva, Ayanna M. Howard, Chung Hyuk Park, Manisha Natarajan, Andrew Best, Sonia Chernova and Grace Gombolay. Their work appears in journals such as IEEE Transactions on Robotics, Annals of Clinical and Translational Neurology, International Journal of Human-Computer Interaction, World Neurosurgery and ACM Transactions on Human-Robot 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.