Tom De Muer
- Speech and Hearing top 1%
- Cognitive Neuroscience top 10%
- Automotive Engineering top 5%
- Biomedical Engineering
- Health, Toxicology and Mutagenesis top 10%
- Topics
- Noise Effects and Management (10 papers)Acoustic Wave Phenomena Research (8 papers)Vehicle Noise and Vibration Control (6 papers)
In The Last Decade
Tom De Muer
16 papers receiving 366 citations
Peers
Comparison fields: 5 of 52
- Speech and Hearing 352
- Cognitive Neuroscience 173
- Automotive Engineering 165
- Biomedical Engineering 130
- Health, Toxicology and Mutagenesis 73
Countries citing papers authored by Tom De Muer
This map shows the geographic impact of Tom De Muer'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 Tom De Muer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom De Muer more than expected).
Fields of papers citing papers by Tom De Muer
This network shows the impact of papers produced by Tom De Muer. 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 Tom De Muer. The network helps show where Tom De Muer may publish in the future.
Co-authorship network of co-authors of Tom De Muer
This figure shows the co-authorship network connecting the top 25 collaborators of Tom De Muer. A scholar is included among the top collaborators of Tom De Muer 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 Tom De Muer. Tom De Muer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | An agent based modeling approach to explain the perception of environmental stressors | 3 |
| 3 | Experimental investigation of noise annoyance caused by high-speed trains. | 40 |
| 4 | The effect of diffuse reflections on noise maps using phonon mapping | 4 |
| 5 | METHODS FOR QUANTIFYING THE UNCERTAINTY IN NOISE MAPPING | 6 |
| 6 | Outdoor beam tracing over undulating terrain | 8 |
| 7 | 104 | |
| 8 | A model for noise annoyance based on notice-events (invited paper) | 2 |
| 9 | Event based noise annoyance modeling | 1 |
| 10 | Observation on the influence of non-acoustical factors on perceived noise annoyance in a field experiment (invited paper) | 5 |
| 11 | The influence of active coping on the adverse effects of noise | 1 |
| 12 | Fuzzy noise maps and fuzzy noise limits for impact assessment | 2 |
| 13 | The Temporal Structure of the Urban Soundscape | 3 |
| 14 | 97 | |
| 15 | 1/f Noise in Rural and Urban Soundscapes | 51 |
| 16 | Classification of soundscapes based on their dynamics | 2 |
About Tom De Muer
Tom De Muer is a scholar working on Speech and Hearing, Automotive Engineering and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 412 indexed citations. Recurring topics across this work include Noise Effects and Management (10 papers), Acoustic Wave Phenomena Research (8 papers) and Vehicle Noise and Vibration Control (6 papers). The work is most often cited by research in Speech and Hearing (352 citations), Developmental Biology (31 citations) and Automotive Engineering (165 citations). Tom De Muer has collaborated with scholars based in Belgium, Austria and Sweden. Frequent co-authors include Dick Botteldooren, Bert De Coensel, I Yperman, Mats E. Nilsson, Birgitta Berglund and Peter Lercher. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration and Applied Acoustics.
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.