Tomas Gänsler

1.6k citations
50 papers · 1.2k · h-index 16

Impact in

Papers in

    • Speech and Audio Processing 35
    • Blind Source Separation Techniques 23
    • Direction-of-Arrival Estimation Techniques 2
    • Advanced Adaptive Filtering Techniques 40

Tomas Gänsler

47 papers receiving 1.1k citations

Peers

Tomas Gänsler
Comparison fields: 5 of 54
  • Signal Processing 1.1k
  • Computational Mechanics 1.1k
  • Computational Mathematics 10
  • Cognitive Neuroscience 128
  • Computer Vision and Pattern Recognition 112
Replace Luis A. Azpicueta-Ruiz with:
Luis A. Azpicueta-Ruiz Spain
Maria G. Jafari United Kingdom
André Gilloire France
Yutaka Kaneda Japan
Herbert Buchner Germany
Alexander Stenger Germany
S. Tressens Argentina
K. Mayyas Jordan
Ing Yann Soon Singapore
Shmulik Markovich‐Golan Israel
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Citations per field
00.5×2×2.9×
Luis A. Azpicueta-Ruiz · 1×
Citations per year

Countries citing papers authored by Tomas Gänsler

Since Specialization
Citations

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

Fields of papers citing papers by Tomas Gänsler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Tomas Gänsler, 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 Tomas Gänsler Line = papers co-authored together Tomas Gänsler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001432
2 2000122
3 199688
4 200650
5 201247
6 201143
7 200137
8 200237
9 200535
10 200231
11 200231
12 200129
13 200422
14 199619
15 199819
16 200218
17 199815
18 200611
19 200110
20 200010

About Tomas Gänsler

Tomas Gänsler is a scholar working on Signal Processing, Computational Mechanics, Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (40 papers), Speech and Audio Processing (35 papers), Blind Source Separation Techniques (23 papers), Acoustic Wave Phenomena Research (6 papers), Structural Health Monitoring Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Control Systems and Identification (3 papers) and Direction-of-Arrival Estimation Techniques (2 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computational Mechanics (1.1k citations), Computational Mathematics (10 citations), Cognitive Neuroscience (128 citations) and Computer Vision and Pattern Recognition (112 citations). Tomas Gänsler has collaborated with scholars based in Sweden, Canada and United States. Frequent co-authors include Jacob Benesty, M. M. Sondhi, Steven L. Gay, Dennis R. Morgan, S.L. Gay, G. Salomonsson, P. Eneroth, Constantin Paleologu, Silviu Ciochină and Maria Hansson. Their work appears in journals such as Signal Processing, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Communications and European Transactions on Telecommunications.

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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