Umut Şimşekli

1.3k total citations
42 papers, 319 citations indexed

About

Umut Şimşekli is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Umut Şimşekli has authored 42 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Signal Processing, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in Umut Şimşekli's work include Speech and Audio Processing (22 papers), Music and Audio Processing (17 papers) and Music Technology and Sound Studies (10 papers). Umut Şimşekli is often cited by papers focused on Speech and Audio Processing (22 papers), Music and Audio Processing (17 papers) and Music Technology and Sound Studies (10 papers). Umut Şimşekli collaborates with scholars based in Türkiye, France and United States. Umut Şimşekli's co-authors include Ali Taylan Cemgil, Gaël Richard, Cumhur Erkut, Antti Jylhä, Beyza Ermiş, Antoine Liutkus, John R. Hershey, Jonathan Le Roux, Alexey Ozerov and Evrim Acar and has published in prestigious journals such as Energy and Buildings, IEEE Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Umut Şimşekli

41 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umut Şimşekli Türkiye	10	158	105	70	68	43	42	319
Changbo Zhu United States	8	39 0.2×	102 1.0×	64 0.9×	26 0.4×	64 1.5×	14	291
Hayato Kobayashi Japan	12	166 1.1×	105 1.0×	257 3.7×	9 0.1×	18 0.4×	31	445
Yifan Fu Australia	7	33 0.2×	92 0.9×	222 3.2×	36 0.5×	13 0.3×	10	338
Mohamed Morchid France	9	84 0.5×	86 0.8×	192 2.7×	4 0.1×	41 1.0×	31	354
Hua Yan China	11	89 0.6×	151 1.4×	135 1.9×	7 0.1×	35 0.8×	55	367
Chaoqun Hong China	8	37 0.2×	368 3.5×	209 3.0×	7 0.1×	30 0.7×	16	541
Benigno Uría United Kingdom	7	128 0.8×	75 0.7×	196 2.8×	4 0.1×	22 0.5×	9	277
Huijun Liu China	7	58 0.4×	68 0.6×	143 2.0×	5 0.1×	6 0.1×	24	251
Patrice Y. Simard United States	8	207 1.3×	259 2.5×	166 2.4×	4 0.1×	17 0.4×	13	536
Onur Dikmen Finland	10	155 1.0×	92 0.9×	107 1.5×	5 0.1×	6 0.1×	15	293

Countries citing papers authored by Umut Şimşekli

Since Specialization

Citations

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

Fields of papers citing papers by Umut Şimşekli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umut Şimşekli

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

All Works

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20 of 20 papers shown

Şimşekli, Umut, et al.. (2021). Hausdorff dimension, heavy tails, and generalization in neural networks*. Journal of Statistical Mechanics Theory and Experiment. 2021(12). 124014–124014. 5 indexed citations

Ozerov, Alexey, et al.. (2021). Self-Supervised VQ-VAE for One-Shot Music Style Transfer. arXiv (Cornell University). 96–100. 11 indexed citations

Bortoli, Valentin De, et al.. (2020). Quantitative Propagation of Chaos for SGD in Wide Neural Networks. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

Şimşekli, Umut, et al.. (2020). Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 2638–2650. 22 indexed citations

Şimşekli, Umut, Luke Zhu, Yee Whye Teh, & Mert Gürbüzbalaban. (2020). Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise. SPIRE - Sciences Po Institutional REpository.

Şimşekli, Umut, et al.. (2020). Bayesian Allocation Model: Marginal Likelihood-Based Model Selection for Count Tensors. IEEE Journal of Selected Topics in Signal Processing. 15(3). 560–573. 2 indexed citations

Şimşekli, Umut, et al.. (2019). First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. SPIRE - Sciences Po Institutional REpository. 2 indexed citations

Şimşekli, Umut, et al.. (2018). Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. Aaltodoc (Aalto University). 1 indexed citations

Şimşekli, Umut. (2017). Fractional Langevin Monte Carlo: exploring levy driven stochastic differential equations for Markov Chain Monte Carlo. SPIRE - Sciences Po Institutional REpository. 3200–3209. 6 indexed citations

10.

Şimşekli, Umut, et al.. (2017). Synthetic dataset generation for non-intrusive load monitoring in commercial buildings. 1–2. 8 indexed citations

11.

Durmus, Alain, Umut Şimşekli, Éric Moulines, Roland Badeau, & Gaël Richard. (2016). Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo. SPIRE - Sciences Po Institutional REpository. 6 indexed citations

12.

Şimşekli, Umut, Antoine Liutkus, & Ali Taylan Cemgil. (2015). Alpha-Stable Matrix Factorization. IEEE Signal Processing Letters. 22(12). 2289–2293. 14 indexed citations

13.

Şimşekli, Umut, Beyza Ermiş, Ali Taylan Cemgil, & Evrim Acar. (2013). Optimal weight learning for Coupled Tensor Factorization with mixed divergences. Research at the University of Copenhagen (University of Copenhagen). 1–5. 12 indexed citations

14.

Şimşekli, Umut, et al.. (2013). Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models. International Conference on Machine Learning. 1409–1417. 12 indexed citations

15.

Şimşekli, Umut, et al.. (2012). Large scale polyphonic music transcription using randomized matrix decompositions. European Signal Processing Conference. 2020–2024. 5 indexed citations

16.

Şimşekli, Umut & Ali Taylan Cemgil. (2012). Score guided musical source separation using Generalized Coupled Tensor Factorization. European Signal Processing Conference. 2639–2643. 18 indexed citations

17.

Şimşekli, Umut, et al.. (2012). Score guided audio restoration via generalised coupled tensor factorisation. 401. 5369–5372. 10 indexed citations

18.

Cemgil, Ali Taylan, et al.. (2011). Generalised Coupled Tensor Factorisation. Neural Information Processing Systems. 24. 2151–2159. 46 indexed citations

19.

Cemgil, Ali Taylan, et al.. (2011). Probabilistic latent tensor factorization framework for audio modeling. 3889 2006. 137–140. 7 indexed citations

20.

Şimşekli, Umut. (2010). BAYESIAN METHODS FOR REAL-TIME PITCH TRACKING. LAP LAMBERT Academic Publishing eBooks. 5 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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