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.
Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria
Countries citing papers authored by Tuomas Virtanen
Since
Specialization
Citations
This map shows the geographic impact of Tuomas Virtanen'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 Tuomas Virtanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuomas Virtanen more than expected).
This network shows the impact of papers produced by Tuomas Virtanen. 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 Tuomas Virtanen. The network helps show where Tuomas Virtanen may publish in the future.
Co-authorship network of co-authors of Tuomas Virtanen
This figure shows the co-authorship network connecting the top 25 collaborators of Tuomas Virtanen.
A scholar is included among the top collaborators of Tuomas Virtanen 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 Tuomas Virtanen. Tuomas Virtanen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mesaros, Annamaria, Toni Heittola, & Tuomas Virtanen. (2016). TUT database for acoustic scene classification and sound event detection. 1128–1132.333 indexed citations breakdown →
7.
Mimilakis, Stylianos Ioannis, Konstantinos Drossos, Tuomas Virtanen, & Gerald Schuller. (2016). Deep Neural Networks for Dynamic Range Compression in Mastering Applications. Journal of the Audio Engineering Society.8 indexed citations
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
10.
Nikunen, Joonas, et al.. (2012). Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization. Journal of the Audio Engineering Society. 60(10). 794–806.3 indexed citations
11.
Virtanen, Tuomas, Rita Singh, & Bhiksha Raj. (2012). Techniques for Noise Robustness in Automatic Speech Recognition. CERN Document Server (European Organization for Nuclear Research).65 indexed citations
12.
Remes, Ulpu, et al.. (2011). The 12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011.57 indexed citations
13.
Mesaros, Annamaria, Toni Heittola, Antti Eronen, & Tuomas Virtanen. (2010). Acoustic event detection in real life recordings. European Signal Processing Conference. 1267–1271.165 indexed citations
14.
Nikunen, Joonas & Tuomas Virtanen. (2010). Object-Based Audio Coding Using Non-Negative Matrix Factorization for the Spectrogram Representation. Journal of the Audio Engineering Society.10 indexed citations
15.
Virtanen, Tuomas. (2004). Separation of Sound Sources by Convolutive Sparse Coding. Conference of the International Speech Communication Association. 55.46 indexed citations
Virtanen, Tuomas. (2003). Sound Source Separation Using Sparse Coding with Temporal Continuity Objective. The Journal of the Abraham Lincoln Association. 2003.84 indexed citations
18.
Virtanen, Tuomas. (2001). Accurate Sinusoidal Model Analysis and Parameter Reduction by Fusion of Components. Journal of the Audio Engineering Society.6 indexed citations
19.
Virtanen, Tuomas, et al.. (2000). Recognition of acoustic noise mixtures by combined bottom-up and top-down processing. European Signal Processing Conference. 1–4.12 indexed citations
20.
Doekes, Gert, Inge M. Wouters, Øyvind Omland, et al.. (1999). IgE antibodies to cow allergens and respiratory health in dairy farmers in Denmark and the Netherlands. Journal of Agricultural Safety and Health. 5(3). 309–316.4 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.