Blaise Thomson
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Information Systems top 10%
- Signal Processing
- Co-authors
- Steve YoungJ. D. WilliamsMatthew HendersonMilica GašićJost SchatzmannKai YuSimon KeizerFrançois Mairesse
- Topics
- Speech and dialogue systems (33 papers)Topic Modeling (26 papers)Multi-Agent Systems and Negotiation (20 papers)
- Partner nations
- United KingdomUnited StatesSouth Sudan
In The Last Decade
Blaise Thomson
37 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 2.4k
- Computer Vision and Pattern Recognition 313
- Social Psychology 125
- Information Systems 84
- Signal Processing 37
Countries citing papers authored by Blaise Thomson
This map shows the geographic impact of Blaise Thomson'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 Blaise Thomson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blaise Thomson more than expected).
Fields of papers citing papers by Blaise Thomson
This network shows the impact of papers produced by Blaise Thomson. 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 Blaise Thomson. The network helps show where Blaise Thomson may publish in the future.
Co-authorship network of co-authors of Blaise Thomson
This figure shows the co-authorship network connecting the top 25 collaborators of Blaise Thomson. A scholar is included among the top collaborators of Blaise Thomson 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 Blaise Thomson. Blaise Thomson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Multi-domain dialog state tracking using recurrent neural networks | 76 |
| 3 | 161 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 274 | |
| 7 | 4 | |
| 8 | 38 | |
| 9 | POMDP-based dialogue manager adaptation to extended domains | 35 |
| 10 | Deep Neural Network Approach for the Dialog State Tracking Challenge | 77 |
| 11 | 26 | |
| 12 | The Effect of Cognitive Load on a Statistical Dialogue System | 6 |
| 13 | 78 | |
| 14 | Spoken Dialog Challenge 2010: Comparison of Live and Control Test Results | 39 |
| 15 | Gaussian Processes for Fast Policy Optimisation of POMDP-based Dialogue Managers | 38 |
| 16 | Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning | 73 |
| 17 | From discontinuous to continuous F0 modelling in HMM-based speech synthesis. | 7 |
| 18 | Parameter estimation for agenda-based user simulation | 24 |
| 19 | Proceedings of the ACL-IJCNLP 2009 Student Research Workshop | 2 |
| 20 | 268 |
About Blaise Thomson
Blaise Thomson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Speech and dialogue systems (33 papers), Topic Modeling (26 papers) and Multi-Agent Systems and Negotiation (20 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Computer Vision and Pattern Recognition (313 citations) and Social Psychology (125 citations). Blaise Thomson has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Steve Young, J. D. Williams, Matthew Henderson, Milica Gašić, Jost Schatzmann, Kai Yu, Simon Keizer, François Mairesse, Filip Jurčíček and Karl Weilhammer. Their work appears in journals such as Proceedings of the IEEE, Statistics and Computing and Computer Speech & Language.
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.