Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion
1993702 citationsIain R. Murray, John L. ArnottThe Journal of the Acoustical Society of Americaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
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
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
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
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.