Susan McRoy

1.3k citations
72 papers · 933 · h-index 17

Impact in

    • 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

Papers in

    • Speech and dialogue systems 29
    • Natural Language Processing Techniques 26
    • Topic Modeling 16
    • Multi-Agent Systems and Negotiation 11
    • Semantic Web and Ontologies 5
    • Mobile Health and mHealth Applications 4
    • Health Literacy and Information Accessibility 3

Susan McRoy

65 papers receiving 834 citations

Peers

Susan McRoy
Comparison fields: 5 of 104
  • Artificial Intelligence 546
  • Computer Science Applications 65
  • Human-Computer Interaction 43
  • Language and Linguistics 63
  • Developmental and Educational Psychology 68
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Susan McRoy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Susan McRoy Line = papers co-authored together Susan McRoy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199568
2 201168
3 200064
4 199461
5 201354
6
What is an Intelligent Tutoring System
200049
7
Abductive interpretation and reinterpretation of natural language utterances
199347
8 200343
9 199837
10 201336
11 201825
12 201924
13 201524
14 199923
15 199020
16 201416
17 200016
18 201815
19 199315
20 200014

About Susan McRoy

Susan McRoy is a scholar working on Artificial Intelligence, General Health Professions, Information Systems, Language and Linguistics and Human-Computer Interaction, having authored 72 papers that have together received 933 indexed citations. Recurring topics across this work include Speech and dialogue systems (29 papers), Natural Language Processing Techniques (26 papers), Topic Modeling (16 papers), Multi-Agent Systems and Negotiation (11 papers), Semantic Web and Ontologies (5 papers), Mobile Health and mHealth Applications (4 papers), Language, Discourse, Communication Strategies (4 papers) and Health Literacy and Information Accessibility (3 papers). The work is most often cited by research in Artificial Intelligence (546 citations), Computer Science Applications (65 citations), Human-Computer Interaction (43 citations), Language and Linguistics (63 citations) and Developmental and Educational Psychology (68 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, Syed Sohaib Ali, Hong Yu, Rashmi Prasad, Hong Tao and Aravind K. Joshi. Their work appears in journals such as Natural Language Engineering, User Modeling and User-Adapted Interaction, International Journal of Human-Computer Studies, Computational Linguistics and Cognitive Science.

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.

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