David Vandyke
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- AI in Service Interactions
- Multi-Agent Systems and Negotiation
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 14
- Speech and dialogue systems 12
- Natural Language Processing Techniques 8
- Speech Recognition and Synthesis 6
- Multi-Agent Systems and Negotiation 2
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- Speech and Audio Processing 3
- Music and Audio Processing 3
- Co-authors
- Nikola Mrkšić (10 shared papers)Milica Gašić (9 shared papers)Steve Young (9 shared papers)Pei-Hao Su (9 shared papers)Tsung-Hsien Wen (9 shared papers)Stefan Ultes (5 shared papers)Lina M. Rojas Barahona (4 shared papers)Yixuan Su (3 shared papers)
- Journals
- Computer Speech & Language (1 paper)ANU Open Research (Australian National University) (1 paper)Apollo (University of Cambridge) (2 papers)University of Canberra Research Portal (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
David Vandyke
19 papers receiving 1.2k citations
David Vandyke's Hit Papers
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 240
- Information Systems 81
- Signal Processing 29
- Applied Psychology 9
Countries citing papers authored by David Vandyke
This map shows the geographic impact of David Vandyke'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 David Vandyke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vandyke more than expected).
Fields of papers citing papers by David Vandyke
This network shows the impact of papers produced by David Vandyke. 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 David Vandyke. The network helps show where David Vandyke may publish in the future.
Co-authors
The 25 scholars most cited alongside David Vandyke, 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 | Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Hit paper breakdown → | 2015 | 466 |
| 2 | A Network-based End-to-End Trainable Task-oriented Dialogue System Hit paper breakdown → | 2017 | 451 |
| 3 | 2017 | 75 | |
| 4 | 2016 | 64 | |
| 5 | 2021 | 43 | |
| 6 | 2016 | 37 | |
| 7 | 2015 | 24 | |
| 8 | 2015 | 19 | |
| 9 | 2016 | 18 | |
| 10 | 2015 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 7 | |
| 16 | Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling | 2012 | 6 |
| 17 | 2013 | 4 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 1 |
About David Vandyke
David Vandyke is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Social Psychology and Information Systems, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Speech and dialogue systems (12 papers), Natural Language Processing Techniques (8 papers), Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (3 papers), Music and Audio Processing (3 papers), Multi-Agent Systems and Negotiation (2 papers) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (240 citations), Information Systems (81 citations), Signal Processing (29 citations) and Applied Psychology (9 citations). David Vandyke has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Nikola Mrkšić, Milica Gašić, Steve Young, Pei-Hao Su, Tsung-Hsien Wen, Stefan Ultes, Lina M. Rojas Barahona, Yixuan Su, Nigel Collier and Sihui Wang. Their work appears in journals such as Computer Speech & Language, ANU Open Research (Australian National University), Apollo (University of Cambridge) and University of Canberra Research Portal.
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.