Peter Jax

1.3k citations
87 papers · 939 · h-index 15

Impact in

Papers in

Peter Jax

74 papers receiving 858 citations

Peers

Peter Jax
Comparison fields: 5 of 59
  • Signal Processing 711
  • Computational Mechanics 385
  • Computer Vision and Pattern Recognition 336
  • Cognitive Neuroscience 150
  • Artificial Intelligence 226
Replace Takanobu Nishiura with:
Takanobu Nishiura Japan
Konrad Kowalczyk Poland
Debi Prasad Das India
Piergiorgio Svaizer Italy
John Mourjopoulos Greece
Asutosh Kar India
Udo Zölzer Germany
Zhong-Qiu Wang United States
Yutaka Kaneda Japan
Yoshinobu Kajikawa Japan
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Citations per field
00.5×2.9×
Takanobu Nishiura · 1×
Citations per year

Countries citing papers authored by Peter Jax

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003120
2 197080
3 200278
4 200256
5 200354
6 200249
7 200243
8 200641
9 200531
10 200729
11 200428
12
Signal Processing Challenges for Active Noise Cancellation Headphones.
201825
13 202020
14 201619
15 200215
16 201814
17 201712
18 201812
19 202110
20 202010

About Peter Jax

Peter Jax is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 87 papers that have together received 939 indexed citations. Recurring topics across this work include Speech and Audio Processing (55 papers), Advanced Adaptive Filtering Techniques (43 papers), Hearing Loss and Rehabilitation (20 papers), Advanced Data Compression Techniques (14 papers), Acoustic Wave Phenomena Research (10 papers), Speech Recognition and Synthesis (8 papers), Blind Source Separation Techniques (6 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (711 citations), Computational Mechanics (385 citations), Computer Vision and Pattern Recognition (336 citations), Cognitive Neuroscience (150 citations) and Artificial Intelligence (226 citations). Peter Jax has collaborated with scholars based in Germany, Austria and Belgium. Frequent co-authors include Peter Vary, Stefan Gustafsson, P. Kratochvı́l, P. Haasen, Rainer Martin, Katinka X. Ruthrof, Stéphane Ragot, Steffen Leonhardt, Daniel Wilhelm and Marc Adrat. Their work appears in journals such as Journal of the Audio Engineering Society, Nuclear Engineering and Design, IEEE Transactions on Audio Speech and Language Processing, IEEE Communications Magazine and IEEE Transactions on Speech and Audio 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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