William C. Treurniet

14 papers receiving 433 citations

Peers

William C. Treurniet
Comparison fields: 5 of 67
  • Signal Processing 232
  • Computer Vision and Pattern Recognition 190
  • Cognitive Neuroscience 132
  • Computational Mechanics 62
  • Human-Computer Interaction 56
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Countries citing papers authored by William C. Treurniet

Since Specialization
Citations

This map shows the geographic impact of William C. Treurniet'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 C. Treurniet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Treurniet more than expected).

Fields of papers citing papers by William C. Treurniet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Treurniet. 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 C. Treurniet. The network helps show where William C. Treurniet may publish in the future.

Co-authorship network of co-authors of William C. Treurniet

This figure shows the co-authorship network connecting the top 25 collaborators of William C. Treurniet. A scholar is included among the top collaborators of William C. Treurniet 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 C. Treurniet. William C. Treurniet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 14
3
Evaluation of the ITU-R Objective Audio Quality Measurement Method
27
4
PEAQ - The ITU Standard for Objective Measurement of Perceived Audio Quality
237
5
Perceptual Quality Assessment for Digital Audio: PEAQ-The New ITU Standard for Objective Measurement of the Perceived Audio Quality
20
6
Simulation of Individual Listeners with an Auditory Model
4
7
Objective Perceptual Measurement of Audio Quality
21
8 2
9
Comparison of three different methods for automated classification of cervical cells.
22
10 9
11 1
12 6
13 2
14 133
15
Display of text on television
5

About William C. Treurniet

William C. Treurniet is a scholar working on Signal Processing, Media Technology and Cognitive Neuroscience, having authored 15 papers that have together received 507 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Hearing Loss and Rehabilitation (3 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Signal Processing (232 citations), Human-Computer Interaction (56 citations) and Computer Vision and Pattern Recognition (190 citations). William C. Treurniet has collaborated with scholars based in Canada and France. Frequent co-authors include John G. Beerends, Christian Schmidmer, Catherine Colomes, Thomas Sporer, Roland Bitto, Paul Muter, Gilbert A. Soulodre, Branko Palcic, Calum MacAulay and Seymour Shlien. Their work appears in journals such as The Journal of the Acoustical Society of America, Human Factors The Journal of the Human Factors and Ergonomics Society and Behaviour and Information Technology.

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.

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