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.
Support vector machines using GMM supervectors for speaker verification
2006673 citationsWilliam M. Campbell, Douglas Sturim et al.profile →
SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation
2006393 citationsWilliam M. Campbell, Douglas Sturim et al.profile →
Citations per year, relative to William M. Campbell William M. Campbell (= 1×)
peers
Arnab Ghoshal
Countries citing papers authored by William M. Campbell
Since
Specialization
Citations
This map shows the geographic impact of William M. Campbell'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 William M. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Campbell more than expected).
Fields of papers citing papers by William M. Campbell
This network shows the impact of papers produced by William M. Campbell. 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 William M. Campbell. The network helps show where William M. Campbell may publish in the future.
Co-authorship network of co-authors of William M. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of William M. Campbell.
A scholar is included among the top collaborators of William M. Campbell 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 William M. Campbell. William M. Campbell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mensch, Alyssa, et al.. (2017). Toward Finding Malicious Cyber Discussions in Social Media.. National Conference on Artificial Intelligence.3 indexed citations
5.
Campbell, William M., Douglas Sturim, Bengt Borgström, et al.. (2012). Exploring the impact of advanced front-end processing on NIST speaker recognition microphone tasks.. 180–186.3 indexed citations
6.
Campbell, William M.. (2010). Weighted Nuisance Attribute Projection. 19.6 indexed citations
7.
Karam, Zahi N., Douglas Sturim, & William M. Campbell. (2009). Speaker Comparison with Inner Product Discriminant Functions. Neural Information Processing Systems. 22. 207–215.11 indexed citations
8.
Richardson, Fred & William M. Campbell. (2007). Discriminative Keyword Selection Using Support Vector Machines. Neural Information Processing Systems. 20. 209–216.12 indexed citations
Campbell, William M., Douglas A. Reynolds, & Joseph P. Campbell. (2004). Fusing Discriminative and Generative Methods for Speaker Recognition: Experiments on Switchboard and NFI/TNO Field Data. 41–44.20 indexed citations
11.
Campbell, William M., Elliot Singer, Pedro A. Torres‐Carrasquillo, & Douglas A. Reynolds. (2004). Language recognition with support vector machines.. 285–288.62 indexed citations
Campbell, William M., et al.. (2003). Phonetic Speaker Recognition with Support Vector Machines. Neural Information Processing Systems. 16. 1377–1384.93 indexed citations
14.
Campbell, William M. & Kari Torkkola. (2002). Machine Learning for Advising a Driver: A Survey.. 219–225.2 indexed citations
Campbell, William M.. (2001). A Sequence Kernel and its Application to Speaker Recognition. Neural Information Processing Systems. 14. 1157–1163.8 indexed citations
17.
Campbell, William M., et al.. (2001). Text-prompted speaker recognition with polynomial classifiers.. 183–188.1 indexed citations
18.
Campbell, William M., et al.. (2001). Speaker recognition and the ETSI Standard Distributed Speech Recognition Front-End.. 121–124.1 indexed citations
19.
Campbell, William M., et al.. (2000). Dimension Reduction Techniques for Training Polynomial Networks. International Conference on Machine Learning. 119–126.12 indexed citations
20.
Torkkola, Kari & William M. Campbell. (2000). Mutual Information in Learning Feature Transformations. International Conference on Machine Learning. 1015–1022.95 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.