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.
An overview of text-independent speaker recognition: From features to supervectors
This map shows the geographic impact of Tomi Kinnunen'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 Tomi Kinnunen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomi Kinnunen more than expected).
This network shows the impact of papers produced by Tomi Kinnunen. 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 Tomi Kinnunen. The network helps show where Tomi Kinnunen may publish in the future.
Co-authorship network of co-authors of Tomi Kinnunen
This figure shows the co-authorship network connecting the top 25 collaborators of Tomi Kinnunen.
A scholar is included among the top collaborators of Tomi Kinnunen 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 Tomi Kinnunen. Tomi Kinnunen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kinnunen, Tomi, Md Sahidullah, Héctor Delgado, et al.. (2017). The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection. Edinburgh Research Explorer (University of Edinburgh). 2–6.357 indexed citations breakdown →
11.
Wu, Zhizheng & Tomi Kinnunen. (2015). Automatic speaker verification spoofing and countermeasures (ASVspoof 2015): introductory talk by the organizers.. Conference of the International Speech Communication Association.1 indexed citations
12.
Wu, Zhizheng, Tomi Kinnunen, Nicholas Evans, et al.. (2015). ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge. Edinburgh Research Explorer (University of Edinburgh). 2037–2041.325 indexed citations breakdown →
13.
Wu, Zhizheng, Tuomas Virtanen, Tomi Kinnunen, Eng Siong Chng, & Haizhou Li. (2013). Exemplar-based voice conversion using non-negative spectrogram deconvolution.. Edinburgh Research Explorer (University of Edinburgh). 201–206.36 indexed citations
Wu, Zhizheng, Tomi Kinnunen, Eng Siong Chng, Haizhou Li, & Eliathamby Ambikairajah. (2012). A study on spoofing attack in state-of-the-art speaker verification: the telephone speech case. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–5.66 indexed citations
17.
Kinnunen, Tomi, et al.. (2012). Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on.57 indexed citations
18.
Saeidi, Rahim, Jouni Pohjalainen, Tomi Kinnunen, & Paavo Alku. (2010). Temporally Weighted Linear Prediction Features for Speaker Verification in Additive Noise. 8.2 indexed citations
19.
Kinnunen, Tomi, Kong Aik Lee, & Haizhou Li. (2008). Dimension reduction of the modulation spectrogram for speaker verification.. 30.29 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.