Kate Forbes-Riley
- Artificial Intelligence top 2%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 5%
- Computer Science Applications top 5%
- Social Psychology top 10%
- Co-authors
- Diane LitmanMihai RotaruJoel TetreaultAmruta PurandareHua AiAlison K. HuettnerKurt VanLehnScott Silliman
- Topics
- Intelligent Tutoring Systems and Adaptive Learning (22 papers)Speech and dialogue systems (19 papers)Topic Modeling (14 papers)
- Partner nations
- United States
In The Last Decade
Kate Forbes-Riley
24 papers receiving 603 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 556
- Experimental and Cognitive Psychology 202
- Developmental and Educational Psychology 150
- Computer Science Applications 101
- Social Psychology 88
Countries citing papers authored by Kate Forbes-Riley
This map shows the geographic impact of Kate Forbes-Riley'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 Kate Forbes-Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Forbes-Riley more than expected).
Fields of papers citing papers by Kate Forbes-Riley
This network shows the impact of papers produced by Kate Forbes-Riley. 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 Kate Forbes-Riley. The network helps show where Kate Forbes-Riley may publish in the future.
Co-authorship network of co-authors of Kate Forbes-Riley
This figure shows the co-authorship network connecting the top 25 collaborators of Kate Forbes-Riley. A scholar is included among the top collaborators of Kate Forbes-Riley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kate Forbes-Riley. Kate Forbes-Riley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Adapting to Multiple Affective States in Spoken Dialogue | 21 |
| 3 | 4 | |
| 4 | Using Performance Trajectories to Analyze the Immediate Impact of User State Misclassification in an Adaptive Spoken Dialogue System | 1 |
| 5 | Improving (Meta)Cognitive Tutoring by Detecting and Responding to Uncertainty. | 3 |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 49 | |
| 9 | Comparing Linguistic Features for Modeling Learning in Computer Tutoring | 9 |
| 10 | 45 | |
| 11 | 9 | |
| 12 | 34 | |
| 13 | 52 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | Dialogue-Learning Correlations in Spoken Dialogue Tutoring | 22 |
| 17 | 26 | |
| 18 | 27 | |
| 19 | 80 | |
| 20 | Annotating Student Emotional States in Spoken Tutoring Dialogues | 24 |
About Kate Forbes-Riley
Kate Forbes-Riley is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 24 papers that have together received 676 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (22 papers), Speech and dialogue systems (19 papers) and Topic Modeling (14 papers). The work is most often cited by research in Computer Science Applications (101 citations), Artificial Intelligence (556 citations) and Experimental and Cognitive Psychology (202 citations). Kate Forbes-Riley has collaborated with scholars based in United States. Frequent co-authors include Diane Litman, Mihai Rotaru, Joel Tetreault, Amruta Purandare, Hua Ai, Alison K. Huettner, Kurt VanLehn, Scott Silliman, Carolyn Penstein Rosé and Dumisizwe Bhembe. Their work appears in journals such as Speech Communication, Computer Speech & Language 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.