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.
Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
20022.0k citationsAntony W. Rix, John G. Beerends et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by John G. Beerends
Since
Specialization
Citations
This map shows the geographic impact of John G. Beerends'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 John G. Beerends with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Beerends more than expected).
Fields of papers citing papers by John G. Beerends
This network shows the impact of papers produced by John G. Beerends. 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 John G. Beerends. The network helps show where John G. Beerends may publish in the future.
Co-authorship network of co-authors of John G. Beerends
This figure shows the co-authorship network connecting the top 25 collaborators of John G. Beerends.
A scholar is included among the top collaborators of John G. Beerends 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 John G. Beerends. John G. Beerends is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Beerends, John G., et al.. (2013). Perceptual Objective Listening Quality Assessment (POLQA), The Third Generation ITU-T Standard for End-to-End Speech Quality Measurement Part I-Temporal Alignment. Journal of the Audio Engineering Society. 61(6). 366–384.75 indexed citations
3.
Beerends, John G., et al.. (2011). The impact of tone language and non-native language listening on measuring speech quality. Journal of the Audio Engineering Society. 59(9). 647–655.5 indexed citations
4.
Beerends, John G., et al.. (2009). Objective speech intelligibility measurement on the basis of natural speech in combination with perceptual modeling. Journal of the Audio Engineering Society. 57(5). 299–308.9 indexed citations
5.
Beerends, John G., et al.. (2008). Speech Quality Measurement for the Hearing Impaired on the Basis of PESQ. Journal of the Audio Engineering Society. 855.8 indexed citations
6.
Beerends, John G., et al.. (2007). Degradation Decomposition of the Perceived Quality of Speech Signals on the Basis of a Perceptual Modeling Approach. Journal of the Audio Engineering Society. 55(12). 1059–1076.4 indexed citations
Beerends, John G., et al.. (2002). On the Quality of Hearing One's Own Voice. Journal of the Audio Engineering Society. 50(4). 237–248.22 indexed citations
9.
Beerends, John G., A.P. Hekstra, Antony W. Rix, & Michael P. Hollier. (2002). Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model. Journal of the Audio Engineering Society. 50(10). 765–778.151 indexed citations
10.
Rix, Antony W., Michael P. Hollier, A.P. Hekstra, & John G. Beerends. (2002). Perceptual evaluation of speech quality (PESQ) the new ITU standard for end-to-end speech quality assessment: Part I: Time-delay compensation. Journal of the Audio Engineering Society. 50(10). 755–764.130 indexed citations
11.
Rix, Antony W., Michael P. Hollier, John G. Beerends, & A.P. Hekstra. (2000). PESQ-The New ITU Standard for End-to-End Speech Quality Assessment. Journal of the Audio Engineering Society.22 indexed citations
12.
Treurniet, William C., Roland Bitto, Christian Schmidmer, et al.. (2000). PEAQ - The ITU Standard for Objective Measurement of Perceived Audio Quality. Journal of the Audio Engineering Society. 48. 3–29.237 indexed citations
13.
Beerends, John G., et al.. (1999). The Influence of Video Quality on Perceived Audio Quality and Vice Versa. Journal of the Audio Engineering Society. 47(5). 355–362.97 indexed citations
14.
Beerends, John G., et al.. (1996). The Role of International Masking and Perceptual Streaming in the Measurement of Music Codec Quality. Journal of the Audio Engineering Society.2 indexed citations
15.
Beerends, John G.. (1995). Measuring the Quality of Speech and Music Codecs: An Integrated Psychoacoustic Approach. Journal of the Audio Engineering Society.6 indexed citations
16.
Beerends, John G., et al.. (1994). Modeling a Cognitive Aspect in the Measurement of the Quality of Music Codecs. Journal of the Audio Engineering Society.1 indexed citations
17.
Beerends, John G., et al.. (1993). The Optimal Time-Frequency Smearing and Amplitude Compression in Measuring the Quality of Audio Devices. Journal of the Audio Engineering Society.3 indexed citations
18.
Beerends, John G., et al.. (1992). A Perceptual Audio Quality Measure Based on a Psychoacoustic Sound Representation. Journal of the Audio Engineering Society. 40(12). 963–978.202 indexed citations
19.
Beerends, John G., et al.. (1992). A Perceptual Audio Quality Measure. Journal of the Audio Engineering Society.4 indexed citations
20.
Beerends, John G., et al.. (1991). Measuring the Quality of Audio Devices. Journal of the Audio Engineering Society.3 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.