Michael S. Lewicki

7.8k total citations · 2 hit papers
46 papers, 5.2k citations indexed

About

Michael S. Lewicki is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Michael S. Lewicki has authored 46 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 22 papers in Cognitive Neuroscience and 13 papers in Artificial Intelligence. Recurrent topics in Michael S. Lewicki's work include Blind Source Separation Techniques (21 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Applications (13 papers). Michael S. Lewicki is often cited by papers focused on Blind Source Separation Techniques (21 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Applications (13 papers). Michael S. Lewicki collaborates with scholars based in United States, Denmark and United Kingdom. Michael S. Lewicki's co-authors include Terrence J. Sejnowski, Bruno A. Olshausen, Yan Karklin, Rajesh P. N. Rao, Te-Won Lee, Mark Girolami, Benjamin Arthur, T. J. Sejnowski, Eizaburo Doi and Te-Won Lee and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Michael S. Lewicki

45 papers receiving 4.9k citations

Hit Papers

A review of methods for spike sorting: the detection and ... 1998 2026 2007 2016 1998 2000 250 500 750

Peers

Michael S. Lewicki
Comparison fields: 5 of 134
  • Cognitive Neuroscience 2.7k
  • Signal Processing 1.7k
  • Cellular and Molecular Neuroscience 1.1k
  • Artificial Intelligence 906
  • Computer Vision and Pattern Recognition 899
Replace Shihab Shamma with:
Shihab Shamma United States
André van Schaik Australia
P. Mermelstein Canada
Don H. Johnson United States
Bruno A. Olshausen United States
David J. Field United States
T. J. Sejnowski United States
Nima Mesgarani United States
Rodrigo Quian Quiroga United Kingdom
Jonathan D. Victor United States
Shihab Shamma United States View profile →
Citations per field, relative to Michael S. Lewicki
Michael S. Lewicki · 1×
Citations per year, relative to Michael S. Lewicki
Michael S. Lewicki · 1×

Countries citing papers authored by Michael S. Lewicki

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Lewicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Lewicki. 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 Michael S. Lewicki. The network helps show where Michael S. Lewicki may publish in the future.

Co-authorship network of co-authors of Michael S. Lewicki

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Lewicki. A scholar is included among the top collaborators of Michael S. Lewicki 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 Michael S. Lewicki. Michael S. Lewicki 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
# Work Indexed citations
1 38
2 16
3 16
4 380
5 109
6
A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels
12
7
Is Early Vision Optimized for Extracting Higher-order Dependencies?
11
8
Relations between the statistical regularities of natural images and the response properties of the early visual system
8
9 79
10
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
8
11
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units
13
12
A Model for Learning Variance Components of Natural Images
3
13 82
14 460
15
Unsupervised Classification with Non-Gaussian Mixture Models Using ICA
43
16
Inferring sparse, overcomplete image codes using an efficient coding framework
35
17 449
18
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
61
19
Learning Nonlinear Overcomplete Representations for Efficient Coding
50
20
Bayesian Unsupervised Learning of Higher Order Structure
25

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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