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.
Weighted finite-state transducers in speech recognition
2002565 citationsMehryar Mohri, Fernando Pereira et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Michael Riley'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 Michael Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Riley more than expected).
This network shows the impact of papers produced by Michael Riley. 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 Michael Riley. The network helps show where Michael Riley may publish in the future.
Co-authorship network of co-authors of Michael Riley
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Riley.
A scholar is included among the top collaborators of Michael Riley 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 Michael Riley. Michael Riley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Marwan, Norbert, Michael Riley, Alessandro Giuliani, & Charles L. Webber. (2014). Translational Recurrences: From Mathematical Theory to Real-World Applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).7 indexed citations
6.
Roark, Brian, Cyril Allauzen, & Michael Riley. (2013). Smoothed marginal distribution constraints for language modeling. Meeting of the Association for Computational Linguistics. 43–52.6 indexed citations
Allauzen, Cyril, et al.. (2011). Hierarchical Phrase-based Translation Representations. Cambridge University Engineering Department Publications Database. 1373–1383.11 indexed citations
9.
Allauzen, Cyril, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, & Michael Riley. (2010). Expected Sequence Similarity Maximization. North American Chapter of the Association for Computational Linguistics. 957–965.3 indexed citations
Ljolje, Andrej, Michael Riley, & Donald Hindle. (1999). The AT&t large vocabulary conversational speech recognition system.. Conference of the International Speech Communication Association.1 indexed citations
16.
Riley, Michael, et al.. (1995). The AT&t 60,000 word speech-to-text system.. Conference of the International Speech Communication Association.20 indexed citations
Richards, Whitman & Michael Riley. (1977). Texture metamers (A). Journal of the Optical Society of America A. 67. 1401.1 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.