Jack Urbanek
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- AI in Service Interactions
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Human-Computer Interaction top 5%
- Persona Design and Applications
Papers in
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- Natural Language Processing Techniques 4
- Topic Modeling 4
- Speech and dialogue systems 3
- Artificial Intelligence in Games 1
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- Human Motion and Animation 2
- Co-authors
- Arthur Szlam (4 shared papers)Jason Weston (4 shared papers)Douwe Kiela (2 shared papers)Emily Dinan (3 shared papers)Saizheng Zhang (1 shared paper)Kurt Shuster (2 shared papers)Alexander G. Hauptmann (1 shared paper)Jungdam Won (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- IsraelSouth KoreaUnited States
In The Last Decade
Jack Urbanek
6 papers receiving 650 citations
Jack Urbanek's Hit Papers
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 636
- Human-Computer Interaction 58
- Health Informatics 9
- Computer Vision and Pattern Recognition 105
- Applied Psychology 15
Countries citing papers authored by Jack Urbanek
This map shows the geographic impact of Jack Urbanek'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 Jack Urbanek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Urbanek more than expected).
Fields of papers citing papers by Jack Urbanek
This network shows the impact of papers produced by Jack Urbanek. 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 Jack Urbanek. The network helps show where Jack Urbanek may publish in the future.
Co-authors
The 15 scholars most cited alongside Jack Urbanek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Personalizing Dialogue Agents: I have a dog, do you have pets too? Hit paper breakdown → | 2018 | 660 |
| 2 | 2022 | 8 | |
| 3 | 2020 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2021 | 2 |
About Jack Urbanek
Jack Urbanek is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Sociology and Political Science and Infectious Diseases, having authored 6 papers that have together received 688 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Speech and dialogue systems (3 papers), Multimodal Machine Learning Applications (2 papers), Human Motion and Animation (2 papers), Artificial Intelligence in Games (1 paper), Digital Games and Media (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Artificial Intelligence (636 citations), Human-Computer Interaction (58 citations), Health Informatics (9 citations), Computer Vision and Pattern Recognition (105 citations) and Applied Psychology (15 citations). Jack Urbanek has collaborated with scholars based in Israel, South Korea and United States. Frequent co-authors include Arthur Szlam, Jason Weston, Douwe Kiela, Emily Dinan, Saizheng Zhang, Kurt Shuster, Alexander G. Hauptmann, Jungdam Won, Tim Rocktäschel and Mary Williamson. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence.
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.