Stefan Uhlich

998 total citations
32 papers, 484 citations indexed

About

Stefan Uhlich is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stefan Uhlich has authored 32 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Signal Processing, 10 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stefan Uhlich's work include Speech and Audio Processing (16 papers), Music and Audio Processing (11 papers) and Advanced Adaptive Filtering Techniques (6 papers). Stefan Uhlich is often cited by papers focused on Speech and Audio Processing (16 papers), Music and Audio Processing (11 papers) and Advanced Adaptive Filtering Techniques (6 papers). Stefan Uhlich collaborates with scholars based in Germany, Japan and Taiwan. Stefan Uhlich's co-authors include Yuki Mitsufuji, Fabian-Robert Stöter, Franck Giron, Antoine Liutkus, Thomas Kemp, Naoya Takahashi, Bin Yang, Fabien Cardinaux, Lukas Mauch and Akira Nakamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Signal Processing Letters.

In The Last Decade

Stefan Uhlich

28 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Uhlich Germany 10 383 162 126 60 27 32 484
Gordon Wichern United States 13 396 1.0× 245 1.5× 165 1.3× 74 1.2× 28 1.0× 79 567
R. Coelho Brazil 10 235 0.6× 111 0.7× 64 0.5× 47 0.8× 46 1.7× 32 331
E. Shlomot United States 9 319 0.8× 157 1.0× 185 1.5× 144 2.4× 38 1.4× 18 423
Umut Şimşekli Türkiye 10 158 0.4× 70 0.4× 105 0.8× 42 0.7× 43 1.6× 42 319
Stylianos Moschoglou United Kingdom 7 211 0.6× 112 0.7× 503 4.0× 61 1.0× 9 0.3× 10 584
K. K. Chin United Kingdom 10 426 1.1× 423 2.6× 34 0.3× 71 1.2× 24 0.9× 26 569
Ziteng Wang China 9 143 0.4× 170 1.0× 66 0.5× 84 1.4× 16 0.6× 31 322
Kazuhito Koishida United States 12 517 1.3× 377 2.3× 160 1.3× 79 1.3× 10 0.4× 47 600
B. Raj United States 16 843 2.2× 683 4.2× 125 1.0× 181 3.0× 36 1.3× 29 953
Milan Milosavljević Serbia 9 131 0.3× 75 0.5× 79 0.6× 36 0.6× 30 1.1× 54 277

Countries citing papers authored by Stefan Uhlich

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Uhlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Uhlich

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Uhlich. A scholar is included among the top collaborators of Stefan Uhlich 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 Stefan Uhlich. Stefan Uhlich 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.
Uhlich, Stefan, et al.. (2025). Schemato – An LLM for Netlist-to-Schematic Conversion. 1–7.
2.
Takahashi, Naoya, et al.. (2024). The whole is greater than the sum of its parts: improving music source separation by bridging networks. EURASIP Journal on Audio Speech and Music Processing. 2024(1). 2 indexed citations
3.
Uhlich, Stefan, Masato Hirano, Shusuke Takahashi, et al.. (2024). The Sound Demixing Challenge 2023 – Cinematic Demixing Track. SHILAP Revista de lepidopterología. 7(1). 44–62. 4 indexed citations
4.
Gripon, Vincent, et al.. (2023). A Statistical Model for Predicting Generalization in Few-Shot Classification. SPIRE - Sciences Po Institutional REpository. 1260–1264. 2 indexed citations
5.
6.
Uhlich, Stefan, et al.. (2022). TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation. Interspeech 2022. 911–915. 3 indexed citations
7.
Mitsufuji, Yuki, et al.. (2021). Music Demixing Challenge at ISMIR 2021.. arXiv (Cornell University). 4 indexed citations
8.
Cardinaux, Fabien, et al.. (2020). Iteratively Training Look-Up Tables for Network Quantization. IEEE Journal of Selected Topics in Signal Processing. 14(4). 860–870. 11 indexed citations
9.
Uhlich, Stefan, et al.. (2019). Differentiable Quantization of Deep Neural Networks.. arXiv (Cornell University). 15 indexed citations
10.
Stöter, Fabian-Robert, Stefan Uhlich, Antoine Liutkus, & Yuki Mitsufuji. (2019). Open-Unmix - A Reference Implementation for Music Source Separation. The Journal of Open Source Software. 4(41). 1667–1667. 135 indexed citations
11.
Mitsufuji, Yuki, Stefan Uhlich, Norihiro Takamune, et al.. (2019). Multichannel Non-Negative Matrix Factorization Using Banded Spatial Covariance Matrices in Wavenumber Domain. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 49–60. 13 indexed citations
12.
Uhlich, Stefan, et al.. (2017). Improving Music Source Separation based on DNNs through Data Augmentation and Network Blending. 2 indexed citations
13.
14.
Guo, Xin, Stefan Uhlich, & Yuki Mitsufuji. (2015). NMF-based blind source separation using a linear predictive coding error clustering criterion. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 261–265. 6 indexed citations
15.
Uhlich, Stefan, Franck Giron, & Yuki Mitsufuji. (2015). Deep neural network based instrument extraction from music. 2135–2139. 68 indexed citations
16.
Uhlich, Stefan & Bin Yang. (2011). Bayesian Estimation for Nonstandard Loss Functions Using a Parametric Family of Estimators. IEEE Transactions on Signal Processing. 60(3). 1022–1031. 2 indexed citations
17.
18.
Uhlich, Stefan & Bin Yang. (2010). A Parametric Family Of Bayesian Estimators For Non-Standard Loss Functions. INFM-OAR (INFN Catania). 631–635. 1 indexed citations
19.
Uhlich, Stefan, et al.. (2009). Polynomial LMMSE estimation: A case study. 65–68.
20.
Uhlich, Stefan, et al.. (2006). Estimating the First Voltage Drop for ICs with leakage. 267–270. 1 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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