Susan McRoy
Impact in
- Artificial Intelligence top 5%
- Speech and dialogue systems
- Natural Language Processing Techniques
- Topic Modeling
- Multi-Agent Systems and Negotiation
- Semantic Web and Ontologies
- Intelligent Tutoring Systems and Adaptive Learning
- Computer Science Applications top 10%
Papers in
-
- Speech and dialogue systems 26
- Natural Language Processing Techniques 25
- Topic Modeling 17
- Multi-Agent Systems and Negotiation 10
- Semantic Web and Ontologies 5
Susan McRoy
60 papers receiving 689 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 443
- Computer Science Applications 46
- Health Informatics 9
- Human-Computer Interaction 32
- Language and Linguistics 57
Countries citing papers authored by Susan McRoy
This map shows the geographic impact of Susan McRoy'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 Susan McRoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan McRoy more than expected).
Fields of papers citing papers by Susan McRoy
This network shows the impact of papers produced by Susan McRoy. 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 Susan McRoy. The network helps show where Susan McRoy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan McRoy, 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 | 10 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 14 | |
| 7 | 2014 | 15 | |
| 8 | 2013 | 36 | |
| 9 | 2013 | 53 | |
| 10 | INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference | 2012 | 4 |
| 11 | 2011 | 58 | |
| 12 | Evaluating Factors Impacting the Accuracy of Forced Alignments in a Multimodal Corpus. | 2004 | 8 |
| 13 | 2002 | 3 | |
| 14 | 2001 | 8 | |
| 15 | 1999 | 4 | |
| 16 | A Natural Language Generation Component for Dialog Systems | 1999 | 2 |
| 17 | 1998 | 30 | |
| 18 | 1998 | 8 | |
| 19 | 1995 | 55 | |
| 20 | 1990 | 5 |
About Susan McRoy
Susan McRoy is a scholar working on Artificial Intelligence, Human-Computer Interaction, Language and Linguistics, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 778 indexed citations. Recurring topics across this work include Speech and dialogue systems (26 papers), Natural Language Processing Techniques (25 papers), Topic Modeling (17 papers), Multi-Agent Systems and Negotiation (10 papers), Semantic Web and Ontologies (5 papers), Language, Discourse, Communication Strategies (4 papers), Health Literacy and Information Accessibility (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (443 citations), Computer Science Applications (46 citations), Health Informatics (9 citations), Human-Computer Interaction (32 citations) and Language and Linguistics (57 citations). Susan McRoy has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Syed S. Ali, Graeme Hirst, Hayeon Song, Emily Cramer, Reva Freedman, Hong Tao, Hong Yu, Rashmi Prasad, Aravind K. Joshi and Philip Edmonds. Their work appears in journals such as Computational Linguistics, International Journal of Human-Computer Studies, Cognitive Science, Natural Language Engineering and User Modeling and User-Adapted 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.