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 →
A Study of Interspeaker Variability in Speaker Verification
2008419 citationsPatrick Kenny, Pierre Ouellet et al.profile →
Deep Neural Network Approaches to Speaker and Language Recognition
2015284 citationsFred Richardson, Douglas A. Reynolds 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 Najim Dehak'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 Najim Dehak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najim Dehak more than expected).
This network shows the impact of papers produced by Najim Dehak. 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 Najim Dehak. The network helps show where Najim Dehak may publish in the future.
Co-authorship network of co-authors of Najim Dehak
This figure shows the co-authorship network connecting the top 25 collaborators of Najim Dehak.
A scholar is included among the top collaborators of Najim Dehak 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 Najim Dehak. Najim Dehak is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moro-Velázquez, Laureano, Jorge A. Gómez-García, Najim Dehak, & Juan Ignacio Godino-Llorente. (2019). Analysis of phonatory features for the automatic detection of Parkinson's Disease in two different corpora. UPM Digital Archive (Technical University of Madrid).3 indexed citations
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
14.
Singer, Elliot, Pedro A. Torres‐Carrasquillo, Douglas A. Reynolds, et al.. (2012). The MITLL NIST LRE 2011 language recognition system.. 209–215.32 indexed citations
Shum, Stephen, Najim Dehak, Réda Dehak, & James Glass. (2010). Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification.. 16.38 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
19.
Dehak, Réda, Najim Dehak, Patrick Kenny, & Pierre Dumouchel. (2008). Kernel combination for SVM speaker verification. 21.9 indexed citations
20.
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
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.