Jörg Lücke

1.2k total citations
43 papers, 609 citations indexed

About

Jörg Lücke is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Jörg Lücke has authored 43 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Cognitive Neuroscience and 15 papers in Signal Processing. Recurrent topics in Jörg Lücke's work include Neural dynamics and brain function (16 papers), Neural Networks and Applications (13 papers) and Blind Source Separation Techniques (11 papers). Jörg Lücke is often cited by papers focused on Neural dynamics and brain function (16 papers), Neural Networks and Applications (13 papers) and Blind Source Separation Techniques (11 papers). Jörg Lücke collaborates with scholars based in Germany, United Kingdom and United States. Jörg Lücke's co-authors include Lars Schmidt-Thieme, Frank Hutter, Noritoshi Arai, Ulf Ziemann, Christoph von der Malsburg, Maneesh Sahani, Julian Eggert, Cristina Savin, Zhenwen Dai and Carl‐Magnus Svensson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Jörg Lücke

41 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jörg Lücke Germany	12	210	207	101	93	86	43	609
Lasitha Vidyaratne United States	9	121 0.6×	223 1.1×	134 1.3×	126 1.4×	137 1.6×	31	566
Mahmoud Shoman Egypt	7	142 0.7×	232 1.1×	112 1.1×	37 0.4×	74 0.9×	14	519
Francisco J. Martínez-Murcia Spain	21	264 1.3×	304 1.5×	238 2.4×	314 3.4×	55 0.6×	62	1.3k
Weibei Dou China	12	132 0.6×	135 0.7×	219 2.2×	117 1.3×	92 1.1×	65	596
Jin-Woo Jeong South Korea	12	127 0.6×	157 0.8×	126 1.2×	25 0.3×	66 0.8×	78	565
Sunil Kumar Prabhakar South Korea	15	281 1.3×	403 1.9×	89 0.9×	34 0.4×	251 2.9×	88	775
Isaak Kavasidis Italy	12	64 0.3×	170 0.8×	187 1.9×	68 0.7×	38 0.4×	36	566
Hatim Aboalsamh Saudi Arabia	20	300 1.4×	272 1.3×	567 5.6×	51 0.5×	201 2.3×	97	1.3k
Ming Yu China	13	148 0.7×	63 0.3×	214 2.1×	83 0.9×	57 0.7×	73	741

Countries citing papers authored by Jörg Lücke

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Lücke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Lücke

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Lücke. A scholar is included among the top collaborators of Jörg Lücke 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 Jörg Lücke. Jörg Lücke 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

Kayser, Hendrik, et al.. (2024). Towards multidimensional attentive voice tracking—estimating voice state from auditory glimpses with regression neural networks and Monte Carlo sampling. EURASIP Journal on Audio Speech and Music Processing. 2024(1). 1 indexed citations

Lücke, Jörg, et al.. (2024). Zero-shot denoising of microscopy images recorded at high-resolution limits. PLoS Computational Biology. 20(6). e1012192–e1012192. 3 indexed citations

Lücke, Jörg, et al.. (2021). Generalizable dimensions of human cortical auditory processing of speech in natural soundscapes: A data-driven ultra high field fMRI approach. NeuroImage. 237. 118106–118106. 4 indexed citations

Harper, Nicol S., et al.. (2019). STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds. PLoS Computational Biology. 15(1). e1006595–e1006595. 6 indexed citations

Lücke, Jörg, et al.. (2018). Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means. Carl von Ossiezky University of Oldenburg. 124–132. 1 indexed citations

Savin, Cristina, et al.. (2018). Optimal neural inference of stimulus intensities. Scientific Reports. 8(1). 10038–10038. 8 indexed citations

Lücke, Jörg, et al.. (2016). Select-and-Sample for Spike-and-Slab Sparse Coding. Neural Information Processing Systems. 29. 3927–3935. 2 indexed citations

Savin, Cristina, et al.. (2016). Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics. Neural Information Processing Systems. 29. 4278–4286. 3 indexed citations

Bornschein, Jörg, et al.. (2015). Nonlinear Spike-And-Slab Sparse Coding for Interpretable Image Encoding. PLoS ONE. 10(5). e0124088–e0124088. 9 indexed citations

10.

Hutter, Frank, Jörg Lücke, & Lars Schmidt-Thieme. (2015). Beyond Manual Tuning of Hyperparameters. KI - Künstliche Intelligenz. 29(4). 329–337. 123 indexed citations

11.

Lücke, Jörg, et al.. (2014). A truncated EM approach for spike-and-slab sparse coding. Journal of Machine Learning Research. 15(1). 2653–2687. 19 indexed citations

12.

Dai, Zhenwen, et al.. (2013). What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. Neural Information Processing Systems. 26. 243–251. 5 indexed citations

13.

Bornschein, Jörg, et al.. (2013). Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study. PLoS Computational Biology. 9(6). e1003062–e1003062. 14 indexed citations

14.

Keck, Cornelia M., Cristina Savin, & Jörg Lücke. (2012). Feedforward Inhibition and Synaptic Scaling – Two Sides of the Same Coin?. PLoS Computational Biology. 8(3). e1002432–e1002432. 22 indexed citations

15.

Lücke, Jörg, et al.. (2011). A Closed-Form EM Algorithm for Sparse Coding. arXiv (Cornell University). 4 indexed citations

16.

Lücke, Jörg & Julian Eggert. (2010). Expectation Truncation and the Benefits of Preselection In Training Generative Models. Journal of Machine Learning Research. 11(96). 2855–2900. 28 indexed citations

17.

Lücke, Jörg, et al.. (2009). Occlusive Components Analysis. Cambridge University Engineering Department Publications Database. 22. 1069–1077. 10 indexed citations

18.

Arai, Noritoshi, et al.. (2009). Hysteresis effects on the input–output curve of motor evoked potentials. Clinical Neurophysiology. 120(5). 1003–1008. 100 indexed citations

19.

Lücke, Jörg & Maneesh Sahani. (2008). Maximal Causes for Non-linear Component Extraction. Journal of Machine Learning Research. 9(41). 1227–1267. 37 indexed citations

20.

Lücke, Jörg. (2004). Hierarchical self-organization of minicolumnar receptive fields. Neural Networks. 17(8-9). 1377–1389. 10 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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