Alyssa Glass
- Artificial Intelligence top 10%
- Sociology and Political Science
- Social Psychology
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Michael WolvertonDeborah L. McGuinnessBarbara J. GroszRuth RosenholtzBongwon SuhAllison WoodruffM. Louise JefferyNiklas Höhne
- Topics
- Multi-Agent Systems and Negotiation (4 papers)Semantic Web and Ontologies (3 papers)Logic, Reasoning, and Knowledge (2 papers)
- Journals
- Climate PolicyAutonomous Agents and Multi-Agent SystemsDigital Access to Scholarship at Harvard (DASH) (Harvard University)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Alyssa Glass
12 papers receiving 279 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 125
- Sociology and Political Science 53
- Social Psychology 44
- Computer Vision and Pattern Recognition 44
- Information Systems 43
Countries citing papers authored by Alyssa Glass
This map shows the geographic impact of Alyssa Glass'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 Alyssa Glass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alyssa Glass more than expected).
Fields of papers citing papers by Alyssa Glass
This network shows the impact of papers produced by Alyssa Glass. 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 Alyssa Glass. The network helps show where Alyssa Glass may publish in the future.
Co-authorship network of co-authors of Alyssa Glass
This figure shows the co-authorship network connecting the top 25 collaborators of Alyssa Glass. A scholar is included among the top collaborators of Alyssa Glass 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 Alyssa Glass. Alyssa Glass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 1 | |
| 3 | Trustable Task Processing Systems. | 1 |
| 4 | 129 | |
| 5 | 1 | |
| 6 | A Categorization of Explanation Questions for Task Processing Systems. | 11 |
| 7 | Explaining Task Processing in Cognitive Assistants That Learn. | 8 |
| 8 | 7 | |
| 9 | 44 | |
| 10 | 2 | |
| 11 | 37 | |
| 12 | Creating Socially Conscious Agents: Decision-Making in the Context of Group Commitments | 1 |
About Alyssa Glass
Alyssa Glass is a scholar working on Information Systems and Management, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 12 papers that have together received 303 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (4 papers), Semantic Web and Ontologies (3 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Information Systems and Management (42 citations), Human-Computer Interaction (28 citations) and Safety Research (33 citations). Alyssa Glass has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Michael Wolverton, Deborah L. McGuinness, Barbara J. Grosz, Ruth Rosenholtz, Bongwon Suh, Allison Woodruff, M. Louise Jeffery, Niklas Höhne, Frederic Hans and Andreas Geiges. Their work appears in journals such as Climate Policy, Autonomous Agents and Multi-Agent Systems and Digital Access to Scholarship at Harvard (DASH) (Harvard University).
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.