Hope Schroeder
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
-
- Topic Modeling 4
- Co-authors
- Ziv Epstein (3 shared papers)Amy Smith (2 shared papers)Morgan R. Frank (1 shared paper)Olga Russakovsky (1 shared paper)Hany Farid (1 shared paper)Aaron Hertzmann (1 shared paper)Memo Akten (1 shared paper)Matthew Groh (1 shared paper)
- Journals
- European Journal of Cultural Studies (1 paper)interactions (1 paper)Science (1 paper)ArXiv.org (1 paper)IT University Of Copenhagen (IT University of Copenhagen) (1 paper)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Hope Schroeder
10 papers receiving 415 citations
Hope Schroeder's Hit Papers
Peers
Comparison fields: 5 of 88
- Health Informatics 50
- Human-Computer Interaction 41
- Safety Research 60
- Computer Science Applications 21
- Artificial Intelligence 117
Countries citing papers authored by Hope Schroeder
This map shows the geographic impact of Hope Schroeder'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 Hope Schroeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hope Schroeder more than expected).
Fields of papers citing papers by Hope Schroeder
This network shows the impact of papers produced by Hope Schroeder. 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 Hope Schroeder. The network helps show where Hope Schroeder may publish in the future.
Co-authors
The 25 scholars most cited alongside Hope Schroeder, 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 | Art and the science of generative AI Hit paper breakdown → | 2023 | 363 |
| 2 | Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review Hit paper breakdown → | 2025 | 26 |
| 3 | 2024 | 21 | |
| 4 | 2025 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | Just Put a Human in the Loop? Investigating LLM-Assisted Annotation for Subjective Tasks | 2025 | 0 |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 |
About Hope Schroeder
Hope Schroeder is a scholar working on Artificial Intelligence, Sociology and Political Science, Safety Research, Management Science and Operations Research and Education, having authored 14 papers that have together received 433 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Ethics and Social Impacts of AI (2 papers), Computational and Text Analysis Methods (1 paper), Spatial Cognition and Navigation (1 paper), Virtual Reality Applications and Impacts (1 paper), Qualitative Research Methods and Applications (1 paper), Artificial Intelligence in Law (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Health Informatics (50 citations), Human-Computer Interaction (41 citations), Safety Research (60 citations), Computer Science Applications (21 citations) and Artificial Intelligence (117 citations). Hope Schroeder has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Ziv Epstein, Amy Smith, Morgan R. Frank, Olga Russakovsky, Hany Farid, Aaron Hertzmann, Memo Akten, Matthew Groh, Laura Herman and Neil Leach. Their work appears in journals such as European Journal of Cultural Studies, interactions, Science, ArXiv.org and IT University Of Copenhagen (IT University of Copenhagen).
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.