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.
Front-End Factor Analysis for Speaker Verification
20102.4k citationsNajim Dehak, Patrick Kenny et al.profile →
Joint Factor Analysis Versus Eigenchannels in Speaker Recognition
2007471 citationsPatrick Kenny, Pierre Ouellet et al.profile →
This map shows the geographic impact of Patrick Kenny'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 Patrick Kenny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Kenny more than expected).
This network shows the impact of papers produced by Patrick Kenny. 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 Patrick Kenny. The network helps show where Patrick Kenny may publish in the future.
Co-authorship network of co-authors of Patrick Kenny
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Kenny.
A scholar is included among the top collaborators of Patrick Kenny 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 Patrick Kenny. Patrick Kenny is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stafylakis, Themos, Vassilis Katsouros, Patrick Kenny, & Pierre Dumouchel. (2012). Mean shift algorithm for exponential families with applications to speaker clustering.. Espace ÉTS (ETS). 324–329.4 indexed citations
9.
Senoussaoui, Mohammed, Najim Dehak, Patrick Kenny, Réda Dehak, & Pierre Dumouchel. (2012). First attempt of boltzmann machines for speaker verification.. Espace ÉTS (ETS). 117–121.35 indexed citations
10.
Stafylakis, Themos, Patrick Kenny, Mohammed Senoussaoui, & Pierre Dumouchel. (2012). Preliminary investigation of Boltzmann machine classifiers for speaker recognition.. Espace ÉTS (ETS). 109–116.30 indexed citations
11.
Kenny, Patrick. (2012). A small footprint i-vector extractor.. 1–6.62 indexed citations
Dehak, Najim, Réda Dehak, James Glass, Douglas A. Reynolds, & Patrick Kenny. (2010). Cosine Similarity Scoring without Score Normalization Techniques.. 15.119 indexed citations
14.
Senoussaoui, Mohammed, Patrick Kenny, Najim Dehak, & Pierre Dumouchel. (2010). An i-vector extractor suitable for speaker recognition with both microphone and telephone speech. 6.75 indexed citations
Kenny, Patrick, Najim Dehak, Réda Dehak, Vishwa Gupta, & Pierre Dumouchel. (2008). The role of speaker factors in the NIST extended data task.. 11.9 indexed citations
17.
Dehak, Réda, Najim Dehak, Patrick Kenny, & Pierre Dumouchel. (2008). Kernel combination for SVM speaker verification. 21.9 indexed citations
18.
Dehak, Najim, Réda Dehak, Patrick Kenny, & Pierre Dumouchel. (2008). Comparison between factor analysis and GMM support vector machines for speaker verification. 9.8 indexed citations
Kenny, Patrick & Pierre Dumouchel. (2004). Experiments in speaker verification using factor analysis likelihood ratios. 219–226.43 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.