Henning Schepker

1.2k citations
54 papers · 869 · h-index 17

Impact in

Papers in

Henning Schepker

54 papers receiving 833 citations

Peers

Henning Schepker
Comparison fields: 5 of 32
  • Signal Processing 421
  • Computational Mechanics 517
  • Cognitive Neuroscience 304
  • Speech and Hearing 85
  • Electrical and Electronic Engineering 352
Replace Enzo De Sena with:
Enzo De Sena United Kingdom
Nikolay D. Gaubitch United Kingdom
Henning Puder Germany
Yusuke Hioka New Zealand
Ann Spriet Belgium
Felipe Orduña-Bustamante Mexico
Nicoleta Roman United States
Soundararajan Srinivasan United States
Bernd Edler Germany
A. Alwan United States
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Citations per field
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Citations per year

Countries citing papers authored by Henning Schepker

Since Specialization
Citations

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

Fields of papers citing papers by Henning Schepker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Henning Schepker, 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 Henning Schepker Line = papers co-authored together Henning Schepker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2
Exploiting Sparsity in Channel and Data Estimation for Sporadic Multi-User Communication
201375
3 201471
4 201166
5 201534
6 201233
7 201532
8 201828
9 202028
10 201628
11 201327
12 201624
13 201518
14 201317
15 201317
16 202016
17 201816
18 202016
19 201114
20 201714

About Henning Schepker

Henning Schepker is a scholar working on Computational Mechanics, Signal Processing, Cognitive Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering, having authored 54 papers that have together received 869 indexed citations. Recurring topics across this work include Speech and Audio Processing (37 papers), Advanced Adaptive Filtering Techniques (32 papers), Hearing Loss and Rehabilitation (25 papers), Acoustic Wave Phenomena Research (13 papers), Sparse and Compressive Sensing Techniques (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Distributed Sensor Networks and Detection Algorithms (7 papers) and Structural Health Monitoring Techniques (3 papers). The work is most often cited by research in Signal Processing (421 citations), Computational Mechanics (517 citations), Cognitive Neuroscience (304 citations), Speech and Hearing (85 citations) and Electrical and Electronic Engineering (352 citations). Henning Schepker has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Armin Dekorsy, Simon Doclo, Carsten Bockelmann, Jan Rennies, Sven Nordholm, Birger Kollmeier, Inga Holube, Florian Denk, Hai Huyen Dam and Cassia Valentini-Botinhao. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE/ACM Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society, IEEE Communications Letters and Scientific Reports.

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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