Peter Søndergaard

838 citations
21 papers · 371 · h-index 11

Impact in

Papers in

Peter Søndergaard

19 papers receiving 355 citations

Peers

Peter Søndergaard
Comparison fields: 5 of 51
  • Signal Processing 207
  • Computer Vision and Pattern Recognition 198
  • Applied Mathematics 82
  • Geophysics 34
  • Cognitive Neuroscience 46
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Valery A. Zheludev Israel
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Citations per year

Countries citing papers authored by Peter Søndergaard

Since Specialization
Citations

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

Fields of papers citing papers by Peter Søndergaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Peter Søndergaard, 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 Peter Søndergaard Line = papers co-authored together Peter Søndergaard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201262
3 200738
4 201630
5 201129
6 201326
7
Finite Discrete Gabor Analysis
200721
8 201418
9 200717
10 201611
11 201310
12
On the relationship between multi-channel envelope and temporal fine structure
20118
13
Towards a binaural modelling toolbox
20116
14 20065
15
ILL performance measurement
20003
16
Gabor dual windows using convex optimization
20131
17
Modulation filtering using an optimization approach to spectrogram reconstruction
20111
18
Spectrogram inversion and potential applications for hearing research
20131
19
Det brugervenlige digitale forskningsbibliotek
20051
20 20160

About Peter Søndergaard

Peter Søndergaard is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Applied Mathematics, Geophysics and Civil and Structural Engineering, having authored 21 papers that have together received 371 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Mathematical Analysis and Transform Methods (6 papers), Speech and Audio Processing (4 papers), Hearing Loss and Rehabilitation (2 papers), Blind Source Separation Techniques (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Flow Measurement and Analysis (1 paper) and Advanced Electrical Measurement Techniques (1 paper). The work is most often cited by research in Signal Processing (207 citations), Computer Vision and Pattern Recognition (198 citations), Applied Mathematics (82 citations), Geophysics (34 citations) and Cognitive Neuroscience (46 citations). Peter Søndergaard has collaborated with scholars based in Denmark, Austria and Switzerland. Frequent co-authors include Péter Balázs, Nathanaël Perraudin, Bruno Torrésani, Nicki Holighaus, A. J. E. M. Janssen, Torsten Dau, Ewen MacDonald, Pavel Rajmic, Christoph Wiesmeyr and Morten Willatzen. Their work appears in journals such as Journal of Fourier Analysis and Applications, ACM Transactions on Mathematical Software, Advances in Computational Mathematics, Signal Processing and IEEE Transactions on Signal Processing.

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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