Emily Dinan

4.5k total citations · 1 hit paper
11 papers, 978 citations indexed

About

Emily Dinan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Sociology and Political Science. According to data from OpenAlex, Emily Dinan has authored 11 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Sociology and Political Science. Recurrent topics in Emily Dinan's work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (4 papers). Emily Dinan is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (4 papers). Emily Dinan collaborates with scholars based in Israel, United States and Italy. Emily Dinan's 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 and has published in prestigious 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).

In The Last Decade

Emily Dinan

10 papers receiving 909 citations

Hit Papers

Personalizing Dialogue Agents: I have a dog, do you have ... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emily Dinan Israel 8 924 155 59 57 46 11 978
Chien-Sheng Wu United States 15 755 0.8× 117 0.8× 33 0.6× 71 1.2× 31 0.7× 55 870
Jack Urbanek Israel 5 627 0.7× 104 0.7× 56 0.9× 38 0.7× 38 0.8× 6 668
Iulian Vlad Serban Canada 10 977 1.1× 201 1.3× 16 0.3× 87 1.5× 47 1.0× 14 1.1k
Di Li China 5 331 0.4× 57 0.4× 22 0.4× 35 0.6× 72 1.6× 6 428
Ryan Lowe Canada 8 755 0.8× 140 0.9× 17 0.3× 74 1.3× 39 0.8× 12 813
Wookhee Min United States 12 244 0.3× 65 0.4× 21 0.4× 36 0.6× 18 0.4× 52 444
Stephen Roller United States 12 597 0.6× 130 0.8× 13 0.2× 54 0.9× 16 0.3× 16 720
Kang Min Yoo South Korea 9 286 0.3× 103 0.7× 28 0.5× 27 0.5× 10 0.2× 25 404
Silvio Amir Portugal 8 486 0.5× 62 0.4× 9 0.2× 50 0.9× 20 0.4× 17 539
Shoaib Jameel United Kingdom 11 331 0.4× 44 0.3× 7 0.1× 80 1.4× 164 3.6× 53 515

Countries citing papers authored by Emily Dinan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
2.
Abercrombie, Gavin, Shannon Spruit, Dirk Hovy, et al.. (2022). Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design. 39–52. 6 indexed citations
3.
Dinan, Emily, Gavin Abercrombie, Shannon Spruit, et al.. (2022). SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4113–4133. 24 indexed citations
4.
Mielke, Sabrina J., Arthur Szlam, Emily Dinan, & Y-Lan Boureau. (2022). Reducing Conversational Agents’ Overconfidence Through Linguistic Calibration. Transactions of the Association for Computational Linguistics. 10. 857–872. 30 indexed citations
5.
Xu, Jing, Da Young Ju, Margaret Li, et al.. (2021). Bot-Adversarial Dialogue for Safe Conversational Agents. 2950–2968. 44 indexed citations
6.
Shuster, Kurt, Jack Urbanek, Emily Dinan, Arthur Szlam, & Jason Weston. (2021). Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots. 611–624. 2 indexed citations
7.
Welleck, Sean, Ilia Kulikov, Stephen Roller, et al.. (2020). Neural Text Generation With Unlikelihood Training. International Conference on Learning Representations. 46 indexed citations
8.
Fan, Angela, Jack Urbanek, Emily Dinan, et al.. (2020). Generating Interactive Worlds with Text. Proceedings of the AAAI Conference on Artificial Intelligence. 34(2). 1693–1700. 7 indexed citations
9.
Zhang, Saizheng, Emily Dinan, Jack Urbanek, et al.. (2018). Personalizing Dialogue Agents: I have a dog, do you have pets too?. 2204–2213. 641 indexed citations breakdown →
10.
Dinan, Emily, Stephen Roller, Kurt Shuster, et al.. (2018). Wizard of Wikipedia: Knowledge-Powered Conversational Agents. arXiv (Cornell University). 94 indexed citations
11.
Weston, Jason, Emily Dinan, & Alexander Miller. (2018). Retrieve and Refine: Improved Sequence Generation Models For Dialogue. 87–92. 84 indexed citations

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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