John L. Arnott

1.9k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

John L. Arnott is a scholar working on Artificial Intelligence, Occupational Therapy and Human-Computer Interaction. According to data from OpenAlex, John L. Arnott has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Occupational Therapy and 7 papers in Human-Computer Interaction. Recurrent topics in John L. Arnott's work include Speech and dialogue systems (12 papers), Assistive Technology in Communication and Mobility (9 papers) and Digital Accessibility for Disabilities (6 papers). John L. Arnott is often cited by papers focused on Speech and dialogue systems (12 papers), Assistive Technology in Communication and Mobility (9 papers) and Digital Accessibility for Disabilities (6 papers). John L. Arnott collaborates with scholars based in United Kingdom, United States and Chile. John L. Arnott's co-authors include Iain R. Murray, Alan F. Newell, Norman Alm, Anna Dickinson, Robin L. Hill, Vicki L. Hanson, Richard F. Dye, Peter Gregor, Michael J. Smith and N. Hine and has published in prestigious journals such as Communications of the ACM, The Journal of the Acoustical Society of America and Speech Communication.

In The Last Decade

John L. Arnott

29 papers receiving 1.1k citations

Hit Papers

Toward the simulation of emotion in synthetic speech: A r... 1993 2026 2004 2015 1993 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John L. Arnott United Kingdom 13 580 482 307 260 208 29 1.3k
Matthew P. Aylett United Kingdom 20 986 1.7× 1.1k 2.3× 204 0.7× 411 1.6× 234 1.1× 93 2.0k
Clive Frankish United Kingdom 22 596 1.0× 345 0.7× 105 0.3× 1.2k 4.7× 150 0.7× 46 1.8k
Iain R. Murray United Kingdom 9 626 1.1× 426 0.9× 335 1.1× 213 0.8× 229 1.1× 13 1.0k
Mohammed Ehsan Hoque United States 17 187 0.3× 236 0.5× 25 0.1× 170 0.7× 219 1.1× 44 807
Michael Kipp Germany 16 269 0.5× 517 1.1× 65 0.2× 137 0.5× 309 1.5× 51 1.2k
Catia Cucchiarini Netherlands 29 1.2k 2.1× 1.9k 3.9× 551 1.8× 99 0.4× 59 0.3× 171 2.8k
Khiet P. Truong Netherlands 20 1.3k 2.2× 1.1k 2.3× 752 2.4× 298 1.1× 577 2.8× 91 2.3k
Helmer Strik Netherlands 31 1.5k 2.6× 2.4k 4.9× 818 2.7× 111 0.4× 68 0.3× 225 3.4k
Han Sloetjes Netherlands 11 560 1.0× 380 0.8× 94 0.3× 251 1.0× 264 1.3× 30 1.7k
Matt Huenerfauth United States 25 48 0.1× 603 1.3× 40 0.1× 354 1.4× 51 0.2× 113 1.8k

Countries citing papers authored by John L. Arnott

Since Specialization
Citations

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

Fields of papers citing papers by John L. Arnott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Arnott. 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 John L. Arnott. The network helps show where John L. Arnott may publish in the future.

Co-authorship network of co-authors of John L. Arnott

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Arnott. A scholar is included among the top collaborators of John L. Arnott 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 John L. Arnott. John L. Arnott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McCoy, Kathleen F., John L. Arnott, Leo Ferres, Melanie Fried‐Oken, & Brian Roark. (2013). Speech and Language processing as assistive technologies. Computer Speech & Language. 27(6). 1143–1146. 11 indexed citations
2.
Arnott, John L. & Norman Alm. (2012). Towards the improvement of Augmentative and Alternative Communication through the modelling of conversation. Computer Speech & Language. 27(6). 1194–1211. 6 indexed citations
3.
Hine, N., et al.. (2008). Stakeholder involvement in the design and development of a domestic well-being indicator system. Discovery Research Portal (University of Dundee). 267–268. 2 indexed citations
4.
Murray, Iain R. & John L. Arnott. (2007). Applying an analysis of acted vocal emotions to improve the simulation of synthetic speech. Computer Speech & Language. 22(2). 107–129. 41 indexed citations
5.
Hine, N., et al.. (2007). Data visualisation and data mining technology for supporting care for older people. Discovery Research Portal (University of Dundee). 139–146. 23 indexed citations
6.
Arnott, John L., et al.. (2002). Assistive social interaction for non-speaking people living in the community. 162–169. 14 indexed citations
7.
Murray, Iain R., et al.. (1996). Emotional stress in synthetic speech: Progress and future directions. Speech Communication. 20(1-2). 85–91. 37 indexed citations
8.
Murray, Iain R. & John L. Arnott. (1996). Synthesizing emotions in speech: is it time to get excited?. 4th International Conference on Spoken Language Processing (ICSLP 1996). 1816–1819. 5 indexed citations
9.
Newell, Alan F., et al.. (1995). Intelligent system for speech and language impaired people: a portfolio of research. Cambridge University Press eBooks. 83–101. 11 indexed citations
10.
Murray, Iain R. & John L. Arnott. (1995). Implementation and testing of a system for producing emotion-by-rule in synthetic speech. Speech Communication. 16(4). 369–390. 120 indexed citations
11.
Murray, Iain R. & John L. Arnott. (1993). Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion. The Journal of the Acoustical Society of America. 93(2). 1097–1108. 702 indexed citations breakdown →
12.
Alm, Norman, Mark P. Nicol, & John L. Arnott. (1993). The application of fuzzy set theory to the storage and retrieval of conversational texts in an augmentative communication system. 7 indexed citations
13.
Alm, Norman, John L. Arnott, & Alan F. Newell. (1992). Input acceleration techniques for severely physically disabled nonspeakers using a communication system. Communications of the ACM. 35(5). 54–55. 6 indexed citations
14.
Arnott, John L., Alan F. Newell, & Norman Alm. (1992). Prediction and conversational momentum in an augmentative communication system. Communications of the ACM. 35(5). 46–57. 87 indexed citations
15.
Arnott, John L., et al.. (1990). TalksBack: an applicaation of AI techniques to a communication prosthesis for the non-speaking. European Conference on Artificial Intelligence. 117–119. 7 indexed citations
16.
Newell, Alan F., et al.. (1989). The effect of feedback on composition rate using a simulated listening typewriter.. Conference of the International Speech Communication Association. 1402–1404. 1 indexed citations
17.
Arnott, John L., Norman Alm, & Alan F. Newell. (1988). A text database as a communication prosthesis. 5 indexed citations
18.
Newell, Alan F., John L. Arnott, & Richard F. Dye. (1987). A full speed speech simulation of speech recognition machines. 2410–2413. 2 indexed citations
19.
Arnott, John L., et al.. (1987). The use of syntax in a predictive communication aid for the physically handicapped. Discovery Research Portal (University of Dundee). 124–126. 20 indexed citations
20.
Alm, Norman, Alan F. Newell, & John L. Arnott. (1987). A communication aid which models conversational patterns. Discovery Research Portal (University of Dundee). 127–129. 12 indexed citations

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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