J. H. Wright

1.1k citations
28 papers · 856 · h-index 9

Impact in

    • Speech and dialogue systems
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Multi-Agent Systems and Negotiation
    • AI in Service Interactions
    • Text and Document Classification Technologies

Papers in

J. H. Wright

24 papers receiving 709 citations

Peers

J. H. Wright
Comparison fields: 5 of 51
  • Artificial Intelligence 812
  • Signal Processing 69
  • Social Psychology 47
  • Experimental and Cognitive Psychology 28
  • Computer Vision and Pattern Recognition 46
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David Stallard United States
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Tsuneaki Kato Japan
Gary Geunbae Lee South Korea
Fuliang Weng United States
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Chung Hee Hwang United States
Jerome R. Bellegarda United States
Ruvan Weerasinghe Sri Lanka
Roman Englert Germany
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Citations per field
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Citations per year

Countries citing papers authored by J. H. Wright

Since Specialization
Citations

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

Fields of papers citing papers by J. H. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Wright. 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 J. H. Wright. The network helps show where J. H. Wright may publish in the future.

Co-authors

The 14 scholars most cited alongside J. H. Wright, 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 J. H. Wright Line = papers co-authored together J. H. Wright links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997416
2 2003167
3 200262
4 200240
5 199734
6 199926
7 199018
8 199116
9 200214
10 20048
11 19938
12 20017
13 20027
14 20026
15 20016
16 19925
17 19924
18 19872
19 20022
20 19912

About J. H. Wright

J. H. Wright is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Human-Computer Interaction, having authored 28 papers that have together received 856 indexed citations. Recurring topics across this work include Speech and dialogue systems (20 papers), Natural Language Processing Techniques (18 papers), Speech Recognition and Synthesis (15 papers), Topic Modeling (9 papers), Multi-Agent Systems and Negotiation (2 papers), Data Visualization and Analytics (1 paper), Advanced Text Analysis Techniques (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Artificial Intelligence (812 citations), Signal Processing (69 citations), Social Psychology (47 citations), Experimental and Cognitive Psychology (28 citations) and Computer Vision and Pattern Recognition (46 citations). J. H. Wright has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Allen L. Gorin, Giuseppe Riccardi, Patrick Haffner, Gökhan Tür, Helen Hastie, Marilyn Walker, Gareth J. F. Jones, Michael J. Carey, E.S. Parris and Richard C. Rose. Their work appears in journals such as Speech Communication, Computer Speech & Language, Computer, Journal of Artificial Intelligence Research and IEEE Transactions on Knowledge and Data Engineering.

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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