Josef Chalupper

747 citations
30 papers · 571 · h-index 12

Impact in

Papers in

Josef Chalupper

28 papers receiving 532 citations

Peers

Josef Chalupper
Comparison fields: 5 of 45
  • Speech and Hearing 188
  • Cognitive Neuroscience 444
  • Signal Processing 244
  • Sensory Systems 87
  • Computational Mechanics 103
Replace Chin‐Tuan Tan with:
Chin‐Tuan Tan United States
Tobias Goehring United Kingdom
Joseph G. Desloge United States
Koenraad S. Rhebergen Netherlands
Sébastien Santurette Denmark
Tim Van den Bogaert Belgium
Yi Shen United States
Clemen Boje Jensen Denmark
Mathieu Lavandier France
Bosun Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Josef Chalupper

Since Specialization
Citations

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

Fields of papers citing papers by Josef Chalupper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Josef Chalupper, 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 Josef Chalupper Line = papers co-authored together Josef Chalupper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005151
2
Dynamic Loudness Model (DLM) for Normal and Hearing-Impaired Listeners
2002111
3 201741
4 201541
5 200929
6 201622
7 201621
8 200720
9 200913
10 201412
11 201611
12 201911
13 200911
14 201710
15 20209
16 20208
17 20088
18 20237
19 20077
20 20117

About Josef Chalupper

Josef Chalupper is a scholar working on Cognitive Neuroscience, Speech and Hearing, Signal Processing, Sensory Systems and Computational Mechanics, having authored 30 papers that have together received 571 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (27 papers), Noise Effects and Management (13 papers), Speech and Audio Processing (8 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Tactile and Sensory Interactions (2 papers), Hearing Impairment and Communication (2 papers), Advanced Adaptive Filtering Techniques (2 papers) and Acoustic Wave Phenomena Research (1 paper). The work is most often cited by research in Speech and Hearing (188 citations), Cognitive Neuroscience (444 citations), Signal Processing (244 citations), Sensory Systems (87 citations) and Computational Mechanics (103 citations). Josef Chalupper has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include H. Fastl, J. Eggers, Volkmar Hamacher, Henning Puder, Lucas H. M. Mens, A. John Van Opstal, A.F.M. Snik, Erwin L. J. George, A. Miranda L. Janssen and Robert J. Stokroos. Their work appears in journals such as Hearing Research, Journal of Speech Language and Hearing Research, PLoS ONE, Trends in Hearing and Applied Sciences.

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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