This map shows the geographic impact of SJ Young'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 SJ Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SJ Young more than expected).
This network shows the impact of papers produced by SJ Young. 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 SJ Young. The network helps show where SJ Young may publish in the future.
Co-authorship network of co-authors of SJ Young
This figure shows the co-authorship network connecting the top 25 collaborators of SJ Young.
A scholar is included among the top collaborators of SJ Young 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 SJ Young. SJ Young is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Williams, J. D., Pascal Poupart, & SJ Young. (2005). Factored partially observable Markov decision processes for dialogue management. Cambridge University Engineering Department Publications Database.71 indexed citations
4.
Young, SJ. (2003). The statistical approach to the design of spoken dialogue systems. Cambridge University Engineering Department Publications Database.34 indexed citations
Hain, Thomas, et al.. (1998). Segment generation and clustering in the HTK broadcast news transcription system. Cambridge University Engineering Department Publications Database.66 indexed citations
Young, SJ, et al.. (1996). A Self-Learning Speech Synthesis System. Cambridge University Engineering Department Publications Database.1 indexed citations
9.
Woodland, PC, et al.. (1995). Spoken language systems technology workshop. Cambridge University Engineering Department Publications Database.4 indexed citations
10.
Young, SJ, et al.. (1995). A Novel Self-Organising Speech Production System Using Pseudo-Articulators. Cambridge University Engineering Department Publications Database.2 indexed citations
11.
Young, SJ, et al.. (1993). HTK V1.5: User, Reference and Programmer Manuals. Cambridge University Engineering Department Publications Database.2 indexed citations
12.
Gales, Mark & SJ Young. (1993). Parallel model combination for speech recognition in noise. Cambridge University Engineering Department Publications Database.12 indexed citations
13.
Gales, Mark & SJ Young. (1993). PMC for speech recognition in additive and convolutional noise. Cambridge University Engineering Department Publications Database.11 indexed citations
14.
Gales, Mark & SJ Young. (1993). The theory of segmental hidden Markov models. Cambridge University Engineering Department Publications Database.31 indexed citations
15.
Young, SJ, et al.. (1993). CSS-PMC: a combined enhancement/compensation scheme for continuous speech recognition in noise.2 indexed citations
16.
Young, SJ, et al.. (1992). Hidden Markov model state-based noise cancellation. Cambridge University Engineering Department Publications Database.2 indexed citations
17.
Young, SJ. (1990). Competitive training in hidden Markov models. Cambridge University Engineering Department Publications Database.16 indexed citations
18.
Young, SJ, et al.. (1989). Token passing: a simple conceptual model for connected speech recognition systems. Cambridge University Engineering Department Publications Database.187 indexed citations
Young, SJ. (1982). The ADA programming language. Microprocessors and Microsystems. 6(4). 199–199.23 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.