Emily Dinan
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Information Systems top 10%
- Social Psychology
- Co-authors
- Jason WestonArthur SzlamJack UrbanekSaizheng ZhangDouwe KielaAlexander MillerStephen RollerY-Lan Boureau
- Topics
- Topic Modeling (8 papers)Natural Language Processing Techniques (6 papers)Speech and dialogue systems (4 papers)
- Journals
- Transactions of the Association for Computational LinguisticsarXiv (Cornell University)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Emily Dinan
10 papers receiving 909 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 924
- Computer Vision and Pattern Recognition 155
- Human-Computer Interaction 59
- Information Systems 57
- Social Psychology 46
Countries citing papers authored by Emily Dinan
This map shows the geographic impact of Emily Dinan'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 Emily Dinan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Dinan more than expected).
Fields of papers citing papers by Emily Dinan
This network shows the impact of papers produced by Emily Dinan. 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 Emily Dinan. The network helps show where Emily Dinan may publish in the future.
Co-authorship network of co-authors of Emily Dinan
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Dinan. A scholar is included among the top collaborators of Emily Dinan 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 Emily Dinan. Emily Dinan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 24 | |
| 4 | 30 | |
| 5 | 44 | |
| 6 | 2 | |
| 7 | Neural Text Generation With Unlikelihood Training | 46 |
| 8 | 7 | |
| 9 | Personalizing Dialogue Agents: I have a dog, do you have pets too?breakdown → | 641 |
| 10 | Wizard of Wikipedia: Knowledge-Powered Conversational Agents | 94 |
| 11 | 84 |
About Emily Dinan
Emily Dinan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 11 papers that have together received 978 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (924 citations), Health Informatics (18 citations) and Human-Computer Interaction (59 citations). Emily Dinan has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Jason Weston, Arthur Szlam, Jack Urbanek, Saizheng Zhang, Douwe Kiela, Alexander Miller, Stephen Roller, Y-Lan Boureau, Kurt Shuster and Angela Fan. Their work appears in journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.