J.S. Erkelens

769 total citations
32 papers, 587 citations indexed

About

J.S. Erkelens is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, J.S. Erkelens has authored 32 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 13 papers in Computational Mechanics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in J.S. Erkelens's work include Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (13 papers) and Advanced Data Compression Techniques (9 papers). J.S. Erkelens is often cited by papers focused on Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (13 papers) and Advanced Data Compression Techniques (9 papers). J.S. Erkelens collaborates with scholars based in Netherlands and Denmark. J.S. Erkelens's co-authors include Richard Heusdens, Jesper Jensen, Richard C. Hendriks, P.M.T. Broersen, H.W.J. Russchenberg, Koen Venema, L.P. Ligthart, J. P. V. Poiares Baptista, J.J.M. de Wit and Arnold J. den Dekker and has published in prestigious journals such as Journal of the Atmospheric Sciences, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

J.S. Erkelens

31 papers receiving 528 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J.S. Erkelens Netherlands	10	464	353	168	110	61	32	587
Shigeaki Aoki Japan	12	181 0.4×	96 0.3×	134 0.8×	23 0.2×	40 0.7×	66	448
Nurgün Erdöl United States	12	181 0.4×	69 0.2×	33 0.2×	44 0.4×	4 0.1×	64	513
K. Lebart United Kingdom	10	235 0.5×	153 0.4×	79 0.5×	93 0.8×	3 0.0×	20	465
Steven L. Grant United States	15	506 1.1×	507 1.4×	37 0.2×	103 0.9×	14 0.2×	55	753
Luz García Spain	15	233 0.5×	68 0.2×	16 0.1×	541 4.9×	12 0.2×	50	791
P. Runkle United States	13	142 0.3×	59 0.2×	37 0.2×	113 1.0×	3 0.0×	29	554
Yubao Sun China	13	57 0.1×	241 0.7×	19 0.1×	51 0.5×	112 1.8×	43	675
M. Gabrea Canada	10	196 0.4×	136 0.4×	21 0.1×	64 0.6×	3 0.0×	31	292
Emad M. Grais United Kingdom	13	438 0.9×	164 0.5×	78 0.5×	122 1.1×	4 0.1×	34	540
Gary R. Wilson United States	9	209 0.5×	37 0.1×	9 0.1×	60 0.5×	16 0.3×	24	498

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-authorship network of co-authors of J.S. Erkelens

This figure shows the co-authorship network connecting the top 25 collaborators of J.S. Erkelens. A scholar is included among the top collaborators of J.S. Erkelens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.S. Erkelens. J.S. Erkelens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Erkelens, J.S. & Richard Heusdens. (2010). Correlation-Based and Model-Based Blind Single-Channel Late-Reverberation Suppression in Noisy Time-Varying Acoustical Environments. IEEE Transactions on Audio Speech and Language Processing. 18(7). 1746–1765. 35 indexed citations

Erkelens, J.S. & Richard Heusdens. (2010). Noise and late-reverberation suppression in time-varying acoustical environments. 87. 4706–4709. 5 indexed citations

Erkelens, J.S., Jesper Rindom Jensen, & Richard Heusdens. (2007). Improved speech spectral variance estimation under the generalized Gamma distribution. 4 indexed citations

Erkelens, J.S., Jesper Jensen, & Richard Heusdens. (2007). Speech Enhancement Based On Rayleigh Mixture Modeling Of Speech Spectral Amplitude Distributions. Zenodo (CERN European Organization for Nuclear Research). 65–69. 11 indexed citations

Erkelens, J.S. & Richard Heusdens. (2006). A General Optimization Procedure For Spectral Speech Enhancement Methods. INFM-OAR (INFN Catania). 1–5. 9 indexed citations

Jensen, Jesper, Richard C. Hendriks, J.S. Erkelens, & Richard Heusdens. (2006). MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors. paper 1277–Mon2A1O.3. 5 indexed citations

Erkelens, J.S., Jesper Jensen, & Richard Heusdens. (2006). A data-driven approach to optimizing spectral speech enhancement methods for various error criteria. Speech Communication. 49(7-8). 530–541. 56 indexed citations

Erkelens, J.S.. (2005). High-quality memoryless subband coding of impulse responses at 22 bits per frame. 2737–2740. 1 indexed citations

Erkelens, J.S. & P.M.T. Broersen. (2002). Analysis of spectral interpolation with weighting dependent on frame energy. i. I/481–I/484. 4 indexed citations

10.

Erkelens, J.S., Koen Venema, H.W.J. Russchenberg, & L.P. Ligthart. (2001). Coherent Scattering of Microwaves by Particles: Evidence from Clouds and Smoke. Journal of the Atmospheric Sciences. 58(9). 1091–1102. 29 indexed citations

11.

Wit, J.J.M. de, et al.. (2000). Estimating effective radius and liquid water content from radar and lidar based on the CLARE98 data-set. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 25(10-12). 1057–1062. 34 indexed citations

12.

Erkelens, J.S., et al.. (1999). Estimation of cloud droplet concentration from radar, lidar and microwave radiometer measurements. Data Archiving and Networked Services (DANS).

13.

Erkelens, J.S. & P.M.T. Broersen. (1998). LPC interpolation by approximation of the sample autocorrelation function. IEEE Transactions on Speech and Audio Processing. 6(6). 569–573. 8 indexed citations

14.

Brussaard, G., et al.. (1998). Atmospheric water vapour, liquid water and temperature profile retrieval using 20/30/50 GHz radiometer and radar data. Data Archiving and Networked Services (DANS). 243–246. 4 indexed citations

15.

Erkelens, J.S., et al.. (1998). Cloud liquid water profile estimation combining radar and radiometer. Data Archiving and Networked Services (DANS). 3 indexed citations

16.

Erkelens, J.S. & P.M.T. Broersen. (1997). Bias propagation in the autocorrelation method of linear prediction. IEEE Transactions on Speech and Audio Processing. 5(2). 116–119. 23 indexed citations

17.

Erkelens, J.S.. (1996). Autoregressive modeling for speech coding: Estimation, interpolation and quantization. Data Archiving and Networked Services (DANS). 12 indexed citations

18.

Erkelens, J.S. & P.M.T. Broersen. (1996). Reconstruction error distortion measurefor quantisation of LPC models. Electronics Letters. 32(15). 1347–1349. 4 indexed citations

19.

Erkelens, J.S. & P.M.T. Broersen. (1995). Equivalent distortion measures forquantisation of LPC model. Electronics Letters. 31(17). 1410–1412. 9 indexed citations

20.

Erkelens, J.S.. (1968). Een berekeningsmethode voor de logistische curve. Statistica Neerlandica. 22(3). 213–217. 7 indexed citations

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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