Tim Ziemer

29 papers receiving 161 citations

Peers

Tim Ziemer
Comparison fields: 5 of 36
  • Developmental Biology 20
  • Cognitive Neuroscience 88
  • Human-Computer Interaction 22
  • Speech and Hearing 16
  • Computer Vision and Pattern Recognition 53
Replace Etienne Thoret with:
Etienne Thoret France
Konstantinos Drossos Finland
Rolf Bader Germany
Clara Suied France
Gaël Dubus Sweden
Hsin-Yun Yao Canada
Samuele Carcagno France
Joyce Vliegen Netherlands
Trevor Wishart United Kingdom
Malinda J. McPherson United States
Tim Ziemer relative to Etienne Thoret France Etienne Thoret's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tim Ziemer

Since Specialization
Citations

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

Fields of papers citing papers by Tim Ziemer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Ziemer. 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 Tim Ziemer. The network helps show where Tim Ziemer may publish in the future.

Co-authors

The 16 scholars most cited alongside Tim Ziemer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Ziemer Line = papers co-authored together Tim Ziemer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202220
2 201816
3 201814
4 201712
5 202111
6 202011
7 201811
8 20208
9 20198
10 20197
11 20226
12 20225
13 20234
14 20204
15 20214
16 20203
17 20173
18 20232
19 20242
20 20172

About Tim Ziemer

Tim Ziemer is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Biomedical Engineering, Speech and Hearing and Signal Processing, having authored 33 papers that have together received 164 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (13 papers), Tactile and Sensory Interactions (11 papers), Hearing Loss and Rehabilitation (9 papers), Acoustic Wave Phenomena Research (7 papers), Noise Effects and Management (6 papers), Music and Audio Processing (5 papers), Animal Vocal Communication and Behavior (5 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Developmental Biology (20 citations), Cognitive Neuroscience (88 citations), Human-Computer Interaction (22 citations), Speech and Hearing (16 citations) and Computer Vision and Pattern Recognition (53 citations). Tim Ziemer has collaborated with scholars based in Germany, Thailand and Netherlands. Frequent co-authors include Holger Schultheis, David Black, Rolf Bader, Sebastian Schwarz, Peter Haddawy, Ron Kikinis, Patchara Sriwichai, Akara Supratak, Nuno Nunes and Anna Förster. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Frontiers in Neuroscience, Applied Sciences and Multimedia Tools and Applications.

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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