Kurt Shuster

2.6k total citations
14 papers, 351 citations indexed

About

Kurt Shuster is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Kurt Shuster has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Kurt Shuster's work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Speech and dialogue systems (8 papers). Kurt Shuster is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Speech and dialogue systems (8 papers). Kurt Shuster collaborates with scholars based in Israel, United States and Switzerland. Kurt Shuster's co-authors include Jason Weston, Samuel Humeau, Marie-Anne Lachaux, Stephen Roller, Angela Fan, Emily Dinan, Michael Auli, Arthur Szlam, Mojtaba Komeili and Sainbayar Sukhbaatar and has published in prestigious journals such as Repository for Publications and Research Data (ETH Zurich), arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Kurt Shuster

13 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt Shuster Israel 7 324 68 32 11 8 14 351
Rajen Subba United States 9 366 1.1× 83 1.2× 58 1.8× 9 0.8× 6 0.8× 18 396
Naveen Arivazhagan United States 3 214 0.7× 55 0.8× 28 0.9× 13 1.2× 8 1.0× 4 249
Nasser Zalmout United Arab Emirates 12 398 1.2× 51 0.8× 32 1.0× 16 1.5× 4 0.5× 24 423
Yiping Song China 8 421 1.3× 73 1.1× 46 1.4× 9 0.8× 9 1.1× 25 445
Rongzhong Lian Hong Kong 5 231 0.7× 53 0.8× 24 0.8× 9 0.8× 3 0.4× 12 247
Koen Deschacht Belgium 8 239 0.7× 96 1.4× 62 1.9× 17 1.5× 18 2.3× 13 316
Dan Garrette United States 11 468 1.4× 115 1.7× 41 1.3× 4 0.4× 9 1.1× 23 507
Qihuang Zhong China 7 222 0.7× 61 0.9× 19 0.6× 7 0.6× 5 0.6× 17 287
Shuailiang Zhang China 3 242 0.7× 79 1.2× 20 0.6× 8 0.7× 3 0.4× 3 264

Countries citing papers authored by Kurt Shuster

Since Specialization
Citations

This map shows the geographic impact of Kurt Shuster'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 Kurt Shuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt Shuster more than expected).

Fields of papers citing papers by Kurt Shuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt Shuster. 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 Kurt Shuster. The network helps show where Kurt Shuster may publish in the future.

Co-authorship network of co-authors of Kurt Shuster

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Shuster. A scholar is included among the top collaborators of Kurt Shuster 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 Kurt Shuster. Kurt Shuster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Xu, Jing, et al.. (2023). The CRINGE Loss: Learning what language not to model. Repository for Publications and Research Data (ETH Zurich). 8854–8874. 6 indexed citations
3.
Shuster, Kurt, et al.. (2022). Internet-Augmented Dialogue Generation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8460–8478. 94 indexed citations
5.
Shuster, Kurt, et al.. (2022). Director: Generator-Classifiers For Supervised Language Modeling. 512–526. 6 indexed citations
6.
Shuster, Kurt, Jack Urbanek, Arthur Szlam, & Jason Weston. (2022). Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. 2367–2387. 8 indexed citations
7.
Shuster, Kurt, et al.. (2021). Retrieval Augmentation Reduces Hallucination in Conversation. arXiv (Cornell University). 3784–3803. 2 indexed citations
8.
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
9.
Humeau, Samuel, Kurt Shuster, Marie-Anne Lachaux, & Jason Weston. (2020). Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring. International Conference on Learning Representations. 95 indexed citations
10.
Humeau, Samuel, Kurt Shuster, Marie-Anne Lachaux, & Jason Weston. (2019). Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers.. 9 indexed citations
11.
Shuster, Kurt, Samuel Humeau, Antoine Bordes, & Jason Weston. (2018). Engaging Image Chat: Modeling Personality in Grounded Dialogue.. arXiv (Cornell University). 7 indexed citations
12.
Dinan, Emily, Stephen Roller, Kurt Shuster, et al.. (2018). Wizard of Wikipedia: Knowledge-Powered Conversational Agents. arXiv (Cornell University). 94 indexed citations
13.
Vries, Harm de, Kurt Shuster, Dhruv Batra, et al.. (2018). Talk The Walk: Navigating Grids in New York City through Grounded Dialogue. 2 indexed citations
14.
Das, Subrata K., et al.. (2002). ACQUIRE. 5 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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