J.S. Erkelens

769 citations
32 papers · 587 · h-index 10

Impact in

Papers in

J.S. Erkelens

31 papers receiving 528 citations

Peers

J.S. Erkelens
Comparison fields: 5 of 48
  • Signal Processing 464
  • Computational Mechanics 353
  • Cognitive Neuroscience 168
  • Artificial Intelligence 110
  • Atmospheric Science 61
Replace Shigeaki Aoki with:
Shigeaki Aoki Japan
K. Lebart United Kingdom
Gary R. Wilson United States
P. Runkle United States
Nurgün Erdöl United States
R. Bos Netherlands
Luz García Spain
Steven L. Grant United States
Yubao Sun China
Honghui Xu China
J.S. Erkelens relative to Shigeaki Aoki Japan Shigeaki Aoki's profile →
Citations per field
00.5×4.8×
Shigeaki Aoki · 1×
Citations per year

Countries citing papers authored by J.S. Erkelens

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Erkelens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Erkelens. 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 J.S. Erkelens. The network helps show where J.S. Erkelens may publish in the future.

Co-authors

The 14 scholars most cited alongside J.S. Erkelens, 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 J.S. Erkelens Line = papers co-authored together J.S. Erkelens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007201
2 200861
3 200656
4 201035
5 200034
6 200129
7 199723
8 200818
9
Autoregressive modeling for speech coding: Estimation, interpolation and quantization
199612
10 200711
11 19959
12 20069
13 20089
14 19988
15 20028
16 19687
17 20105
18 20065
19 20085
20 20095

About J.S. Erkelens

J.S. Erkelens is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Atmospheric Science, having authored 32 papers that have together received 587 indexed citations. Recurring topics across this work include Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (13 papers), Advanced Data Compression Techniques (9 papers), Image and Signal Denoising Methods (8 papers), Hearing Loss and Rehabilitation (6 papers), Blind Source Separation Techniques (6 papers), Digital Filter Design and Implementation (6 papers) and Atmospheric aerosols and clouds (5 papers). The work is most often cited by research in Signal Processing (464 citations), Computational Mechanics (353 citations), Cognitive Neuroscience (168 citations), Artificial Intelligence (110 citations) and Atmospheric Science (61 citations). J.S. Erkelens has collaborated with scholars based in Netherlands and Denmark. Frequent co-authors include Richard Heusdens, Jesper Jensen, Richard C. Hendriks, P.M.T. Broersen, H.W.J. Russchenberg, Koen Venema, J. P. V. Poiares Baptista, L.P. Ligthart, J.J.M. de Wit and Arnold J. den Dekker. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing, Electronics Letters, IEEE Signal Processing Letters and Journal of the Atmospheric 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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