Julian Hough
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Language and Linguistics top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Matthew PurverDavid SchlangenArash EshghiShamila NasreenChristine HowesStefan KoppPaul KerlingerIwan de Kok
- Topics
- Speech and dialogue systems (26 papers)Natural Language Processing Techniques (18 papers)Topic Modeling (15 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Julian Hough
44 papers receiving 475 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 314
- Experimental and Cognitive Psychology 133
- Social Psychology 95
- Language and Linguistics 76
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Julian Hough
This map shows the geographic impact of Julian Hough'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 Julian Hough with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Hough more than expected).
Fields of papers citing papers by Julian Hough
This network shows the impact of papers produced by Julian Hough. 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 Julian Hough. The network helps show where Julian Hough may publish in the future.
Co-authorship network of co-authors of Julian Hough
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Hough. A scholar is included among the top collaborators of Julian Hough 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 Julian Hough. Julian Hough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 24 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 49 | |
| 10 | 30 | |
| 11 | 19 | |
| 12 | Natural Language Informs the Interpretation of Iconic Gestures: A Computational Approach | 3 |
| 13 | Disfluencies in dialogues with patients with schizophrenia. | 2 |
| 14 | Helping hands? Gesture and self-repair in schizophrenia | 2 |
| 15 | 12 | |
| 16 | Timing and Grounding in Motor Skill Coaching Interaction: Consequences for the Information State | 8 |
| 17 | 16 | |
| 18 | Incremental Grammar Induction from Child-Directed Dialogue Utterances | 2 |
| 19 | Modelling Expectation in the Self-Repair Processing of Annotat-, um, Listeners | 8 |
| 20 | Incremental Semantics Driven Natural Language Generation with Self-Repairing Capability | 6 |
About Julian Hough
Julian Hough is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology, having authored 49 papers that have together received 518 indexed citations. Recurring topics across this work include Speech and dialogue systems (26 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (15 papers). The work is most often cited by research in Experimental and Cognitive Psychology (133 citations), Artificial Intelligence (314 citations) and Language and Linguistics (76 citations). Julian Hough has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Matthew Purver, David Schlangen, Arash Eshghi, Shamila Nasreen, Christine Howes, Stefan Kopp, Paul Kerlinger, Iwan de Kok, David Allen Sibley and Eleni Gregoromichelaki. Their work appears in journals such as Cognitive Science, Language Resources and Evaluation and Topics in Cognitive Science.
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.