Matt Stuttle

442 citations
6 papers · 339 · h-index 4

Impact in

    • Speech and dialogue systems
    • Speech Recognition and Synthesis
    • Reinforcement Learning in Robotics
    • Intelligent Tutoring Systems and Adaptive Learning
    • Natural Language Processing Techniques
    • Topic Modeling
    • Information Retrieval and Search Behavior
    • Recommender Systems and Techniques

Papers in

Journals
The Knowledge Engineering Review (1 paper)Interspeech (USB) (1 paper)Cambridge University Engineering Department Publications Database (1 paper)IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) (1 paper)International Conference on Spoken Language Processing (ICSLP) (1 paper)
Partner nations
United Kingdom

In The Last Decade

Matt Stuttle

6 papers receiving 305 citations

Peers

Matt Stuttle
Comparison fields: 5 of 21
  • Artificial Intelligence 315
  • Information Systems 20
  • Signal Processing 5
  • Human-Computer Interaction 3
  • Social Psychology 8
Replace B. Thomson with:
B. Thomson United Kingdom
Grace Chung United States
Chandra Khatri United States
Xiaoxi Mao China
Chun-an Chan Taiwan
Haoyu Song China
Yen-Lu Chow United States
Pengcheng Yang China
Nawaf A. Abdulla Jordan
David Goodine United States
Matt Stuttle relative to B. Thomson United Kingdom B. Thomson's profile →
Citations per field
00.5×2×3×4×
B. Thomson · 1×
Citations per year

Countries citing papers authored by Matt Stuttle

Since Specialization
Citations

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

Fields of papers citing papers by Matt Stuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Matt Stuttle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matt Stuttle Line = papers co-authored together Matt Stuttle links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2006257
2 200561
3 200112
4 20025
5
Effects of the User Model on Simulation-Based Learning of Dialogue Strategies
20053
6 20091

About Matt Stuttle

Matt Stuttle is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 339 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Artificial Intelligence (315 citations), Information Systems (20 citations), Signal Processing (5 citations), Human-Computer Interaction (3 citations) and Social Psychology (8 citations). Matt Stuttle has collaborated with scholars based in United Kingdom. Frequent co-authors include Karl Weilhammer, S.J. Young, Jost Schatzmann, Mark Gales, Katherine Knill and Catherine J. Breslin. Their work appears in journals such as The Knowledge Engineering Review, Interspeech (USB), Cambridge University Engineering Department Publications Database, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) and International Conference on Spoken Language Processing (ICSLP).

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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