Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
19956.5k citationsTerrence J. Sejnowski et al.Neural Computationprofile →
Removing electroencephalographic artifacts by blind source separation
20002.5k citationsTerrence J. Sejnowski et al.profile →
Running enhances neurogenesis, learning, and long-term potentiation in mice
19992.3k citationsTerrence J. Sejnowski et al.Proceedings of the National Academy of Sciencesprofile →
A Learning Algorithm for Boltzmann Machines*
19852.0k citationsDavid H. Ackley, Geoffrey E. Hinton et al.Cognitive Scienceprofile →
Analysis of fMRI data by blind separation into independent spatial components
19981.5k citationsTerrence J. Sejnowski et al.profile →
Countries citing papers authored by Terrence J. Sejnowski
Since
Specialization
Citations
This map shows the geographic impact of Terrence J. Sejnowski'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 Terrence J. Sejnowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrence J. Sejnowski more than expected).
Fields of papers citing papers by Terrence J. Sejnowski
This network shows the impact of papers produced by Terrence J. Sejnowski. 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 Terrence J. Sejnowski. The network helps show where Terrence J. Sejnowski may publish in the future.
Co-authorship network of co-authors of Terrence J. Sejnowski
This figure shows the co-authorship network connecting the top 25 collaborators of Terrence J. Sejnowski.
A scholar is included among the top collaborators of Terrence J. Sejnowski 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 Terrence J. Sejnowski. Terrence J. Sejnowski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schultz, Matthew D., Yupeng He, John W. Whitaker, et al.. (2015). Human body epigenome maps reveal noncanonical DNA methylation variation. Nature. 523(7559). 212–216.424 indexed citations breakdown →
Sejnowski, Terrence J. & Tobi Delbrück. (2012). El lenguaje del cerebro. Dialnet (Universidad de la Rioja). 47(435). 50–55.1 indexed citations
8.
Nadkarni, Suhita, Thomas M. Bartol, Terrence J. Sejnowski, & Herbert Levine. (2010). Modelling Vesicular Release at Hippocampal Synapses. PLoS Computational Biology. 6(11). e1000983–e1000983.50 indexed citations
9.
Boden, Catherine, Kuan Rong Chan, Terrence J. Sejnowski, et al.. (2003). Assessing Validity of Visual Field Clustering Schemes for Standard Perimetry Using Machine Learning Classifiers. Investigative Ophthalmology & Visual Science. 44(13). 60–60.
10.
Destexhe, Alain, Zachary F. Mainen, & Terrence J. Sejnowski. (2002). Kinetic models for synaptic interactions. 133(6). 520–520.4 indexed citations
11.
Sejnowski, Terrence J., David A. McCormick, & Mircea Steriade. (1998). Thalamocortical oscillations in sleep and wakefulness. MIT Press eBooks. 976–980.3 indexed citations
12.
Lewicki, Michael S. & Terrence J. Sejnowski. (1997). Learning Nonlinear Overcomplete Representations for Efficient Coding. Neural Information Processing Systems. 10. 556–562.50 indexed citations
13.
Movellan, Javier R., et al.. (1996). Dynamic Features for Visual Speechreading: A Systematic Comparison. Neural Information Processing Systems. 751–757.23 indexed citations
14.
Zemel, Richard S. & Terrence J. Sejnowski. (1994). Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. Neural Information Processing Systems. 7. 165–172.4 indexed citations
15.
Schraudolph, Nicol N., Peter Dayan, & Terrence J. Sejnowski. (1993). Temporal Difference Learning of Position Evaluation in the Game of Go. MPG.PuRe (Max Planck Society). 6. 817–824.61 indexed citations
16.
Churchland, Patricia Smith, Christof Koch, & Terrence J. Sejnowski. (1993). What is computational neuroscience. MIT Press eBooks. 46–55.41 indexed citations
17.
Pouget, Alexandre, Stephen Fisher, & Terrence J. Sejnowski. (1991). Hierarchical Transformation of Space in the Visual System. Neural Information Processing Systems. 4. 412–419.5 indexed citations
18.
Schraudolph, Nicol N. & Terrence J. Sejnowski. (1991). Competitive Anti-Hebbian Learning of Invariants. Neural Information Processing Systems. 4. 1017–1024.18 indexed citations
19.
Lockery, Shawn R., Yan Fang, & Terrence J. Sejnowski. (1989). Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech. Neural Information Processing Systems. 2. 28–35.2 indexed citations
20.
Ackley, David H., Geoffrey E. Hinton, & Terrence J. Sejnowski. (1985). A learning algorithm for boltzmann machines. Cognitive Science. 9(1). 147–169.380 indexed citations breakdown →
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.