Sebastian J. Schlecht

867 total citations
79 papers, 419 citations indexed

About

Sebastian J. Schlecht is a scholar working on Signal Processing, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sebastian J. Schlecht has authored 79 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Signal Processing, 32 papers in Cognitive Neuroscience and 23 papers in Biomedical Engineering. Recurrent topics in Sebastian J. Schlecht's work include Speech and Audio Processing (38 papers), Hearing Loss and Rehabilitation (32 papers) and Acoustic Wave Phenomena Research (23 papers). Sebastian J. Schlecht is often cited by papers focused on Speech and Audio Processing (38 papers), Hearing Loss and Rehabilitation (32 papers) and Acoustic Wave Phenomena Research (23 papers). Sebastian J. Schlecht collaborates with scholars based in Finland, Germany and United Kingdom. Sebastian J. Schlecht's co-authors include Emanuël A. P. Habets, Vesa Välimäki, Ville Pulkki, Thomas McKenzie, Archontis Politis, Tapio Lokki, Axel Plinge, Enzo De Sena, Seyed‐Ahmad Ahmadi and Bjoern Menze and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Sebastian J. Schlecht

69 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian J. Schlecht Finland 13 257 195 121 76 67 79 419
Hüseyin Hacıhabiboğlu United Kingdom 9 353 1.4× 127 0.7× 169 1.4× 143 1.9× 75 1.1× 51 434
Enzo De Sena United Kingdom 12 324 1.3× 169 0.9× 170 1.4× 155 2.0× 67 1.0× 52 553
Carl Schissler United States 11 246 1.0× 138 0.7× 74 0.6× 41 0.5× 156 2.3× 23 377
Miikka Tikander Finland 10 192 0.7× 148 0.8× 77 0.6× 96 1.3× 71 1.1× 19 363
Jianjun He Singapore 11 159 0.6× 135 0.7× 61 0.5× 99 1.3× 47 0.7× 26 304
Jeongil Seo South Korea 12 252 1.0× 163 0.8× 148 1.2× 103 1.4× 147 2.2× 76 426
Julian D. Parker Finland 9 219 0.9× 131 0.7× 88 0.7× 70 0.9× 91 1.4× 23 305
Paul Calamia United States 14 289 1.1× 286 1.5× 95 0.8× 78 1.0× 109 1.6× 54 531
Anish Chandak United States 13 242 0.9× 119 0.6× 104 0.9× 32 0.4× 215 3.2× 22 422
Ryouichi Nishimura Japan 10 183 0.7× 136 0.7× 62 0.5× 33 0.4× 142 2.1× 49 336

Countries citing papers authored by Sebastian J. Schlecht

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian J. Schlecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian J. Schlecht

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian J. Schlecht. A scholar is included among the top collaborators of Sebastian J. Schlecht 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 Sebastian J. Schlecht. Sebastian J. Schlecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schlecht, Sebastian J., et al.. (2025). Efficient Multichannel Auralization Based on the Modal Decomposition of Acoustic Radiance Transfer. IEEE Transactions on Audio Speech and Language Processing. 33. 4748–4759.
2.
Weiss, Stephan, Sebastian J. Schlecht, & Marc Moonen. (2025). Polynomial Procrustes Solution for Randomly Perturbed Near-Paraunitary Systems. 231–235. 2 indexed citations
3.
Schlecht, Sebastian J., et al.. (2025). Neural-network based interpolation of late reverberation in coupled spaces using the common slopes model. Aaltodoc (Aalto University). 1–5.
4.
Schlecht, Sebastian J., et al.. (2025). Optimizing tiny colorless feedback delay networks. EURASIP Journal on Audio Speech and Music Processing. 2025(1).
5.
Välimäki, Vesa, et al.. (2024). Two-Stage Attenuation Filter for Artificial Reverberation. IEEE Signal Processing Letters. 31. 391–395. 1 indexed citations
6.
Schlecht, Sebastian J., et al.. (2024). Short-time coherence between repeated room impulse response measurements. The Journal of the Acoustical Society of America. 156(2). 1017–1028.
7.
Schlecht, Sebastian J., et al.. (2024). Non-stationary noise removal from repeated sweep measurements. SHILAP Revista de lepidopterología. 4(8). 2 indexed citations
8.
Schlecht, Sebastian J., et al.. (2024). Modal Excitation in Feedback Delay Networks. IEEE Signal Processing Letters. 31. 2690–2694. 2 indexed citations
9.
Schlecht, Sebastian J., et al.. (2023). Decorrelation in Feedback Delay Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 3478–3487. 1 indexed citations
10.
Schlecht, Sebastian J., Vesa Välimäki, & Emanuël A. P. Habets. (2023). Bounded-Magnitude Discrete Fourier Transform [Tips & Tricks]. IEEE Signal Processing Magazine. 40(3). 46–49. 1 indexed citations
11.
Schlecht, Sebastian J., et al.. (2023). Grouped Feedback Delay Networks With Frequency-Dependent Coupling. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2004–2015. 5 indexed citations
12.
Schlecht, Sebastian J., et al.. (2022). Robust selection of clean swept-sine measurements in non-stationary noise. The Journal of the Acoustical Society of America. 151(3). 2117–2126. 8 indexed citations
13.
Schlecht, Sebastian J., et al.. (2022). Calibrating the Sabine and Eyring formulas. The Journal of the Acoustical Society of America. 152(2). 1158–1169. 16 indexed citations
14.
McKenzie, Thomas, et al.. (2022). Predicting Perceptual Transparency of Head-Worn Devices. Journal of the Audio Engineering Society. 70(7/8). 585–600. 10 indexed citations
15.
McKenzie, Thomas, Sebastian J. Schlecht, & Ville Pulkki. (2021). Auralisation of the Transition between Coupled Rooms. Aaltodoc (Aalto University). 1–9. 4 indexed citations
16.
Christ, Patrick Ferdinand, Georgios Kaissis, Sebastian J. Schlecht, et al.. (2017). SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks. 839–843. 18 indexed citations
17.
Schlecht, Sebastian J., et al.. (2017). Evaluating Binaural Reproduction Systems from Behavioral Patterns in a Virtual Reality—A Case Study with Impaired Binaural Cues and Tracking Latency. Journal of the Audio Engineering Society. 2 indexed citations
18.
Christ, Patrick Ferdinand, et al.. (2017). Diabetes60 — Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks. mediaTUM (Technical University of Munich). 1526–1535. 18 indexed citations
19.
Schlecht, Sebastian J. & Emanuël A. P. Habets. (2015). Practical Considerations of Time-Varying Feedback Delay Networks. Journal of the Audio Engineering Society. 3 indexed citations
20.
Schlecht, Sebastian J., et al.. (2007). Strategien zur Testfallgenerierung aus SysML Modellen.. TUbilio (Technical University of Darmstadt). 101–106. 2 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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