T. J. Sejnowski

15.1k total citations · 4 hit papers
48 papers, 9.9k citations indexed

About

T. J. Sejnowski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, T. J. Sejnowski has authored 48 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 26 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in T. J. Sejnowski's work include Neural dynamics and brain function (28 papers), Photoreceptor and optogenetics research (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). T. J. Sejnowski is often cited by papers focused on Neural dynamics and brain function (28 papers), Photoreceptor and optogenetics research (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). T. J. Sejnowski collaborates with scholars based in United States, Canada and Germany. T. J. Sejnowski's co-authors include Mircea Steriade, David A. McCormick, Scott Makeig, Zachary F. Mainen, Arnaud Delorme, Alain Destexhe, S. G. Lisberger, Misha Tsodyks, Ning Qian and Thierry Bal and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

T. J. Sejnowski

48 papers receiving 9.6k citations

Hit Papers

Thalamocortical Oscillati... 1993 2026 2004 2015 1993 1997 2007 1996 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. J. Sejnowski United States 30 7.1k 4.0k 1.1k 1.1k 710 48 9.9k
Rodrigo Quian Quiroga United Kingdom 53 9.7k 1.4× 4.0k 1.0× 504 0.4× 931 0.8× 912 1.3× 133 11.8k
Jonathan D. Victor United States 55 7.9k 1.1× 3.3k 0.8× 1.5k 1.4× 280 0.3× 643 0.9× 244 10.8k
Florian Mormann Germany 46 8.5k 1.2× 2.3k 0.6× 837 0.7× 2.2k 2.0× 923 1.3× 97 10.4k
Klaus Lehnertz Germany 56 12.2k 1.7× 2.8k 0.7× 1.4k 1.2× 3.0k 2.8× 1.3k 1.8× 213 15.1k
Jacques Martinerie France 45 12.9k 1.8× 2.6k 0.7× 664 0.6× 967 0.9× 610 0.9× 101 14.8k
Sydney S. Cash United States 64 10.5k 1.5× 5.8k 1.5× 771 0.7× 605 0.5× 550 0.8× 306 14.4k
Anthony M. Zador United States 47 6.9k 1.0× 4.6k 1.1× 1.7k 1.5× 180 0.2× 555 0.8× 90 9.6k
Steven L. Bressler United States 54 9.6k 1.4× 1.8k 0.5× 771 0.7× 601 0.5× 811 1.1× 120 12.1k
Jean‐Marc Fellous United States 35 3.5k 0.5× 2.3k 0.6× 338 0.3× 691 0.6× 477 0.7× 90 6.6k
Stefano Panzeri Italy 63 10.6k 1.5× 5.3k 1.3× 821 0.7× 344 0.3× 1.1k 1.5× 218 12.7k

Countries citing papers authored by T. J. Sejnowski

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. 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 T. J. Sejnowski more than expected).

Fields of papers citing papers by T. J. Sejnowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. 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 T. J. Sejnowski. The network helps show where T. J. Sejnowski may publish in the future.

Co-authorship network of co-authors of T. J. Sejnowski

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Sejnowski. A scholar is included among the top collaborators of T. 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 T. J. Sejnowski. T. J. Sejnowski 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.
Edwards, John, Eric D. Daniel, Justin P. Kinney, et al.. (2013). VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function. Neuroinformatics. 12(2). 277–289. 15 indexed citations
2.
Schreiber, Susanne, Jean‐Marc Fellous, Diane Whitmer, Paul Tiesinga, & T. J. Sejnowski. (2003). A new correlation-based measure of spike timing reliability. Neurocomputing. 52-54. 925–931. 232 indexed citations
3.
Littlewort, Gwen, et al.. (2002). A Prototype for Automatic Recognition of Spontaneous Facial Actions. Neural Information Processing Systems. 15. 1295–1302. 50 indexed citations
4.
Lee, Te-Won, Andreas Ziehe, Reinhold Orglmeister, & T. J. Sejnowski. (2002). Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. 2. 1249–1252. 34 indexed citations
5.
Tiesinga, Paul & T. J. Sejnowski. (2001). Precision of pulse-coupled networks of integrate-and-fire neurons. Network Computation in Neural Systems. 12(2). 215–233. 18 indexed citations
6.
Jung, Tzyy‐Ping, et al.. (2001). Imaging brain dynamics using independent component analysis. Proceedings of the IEEE. 89(7). 1107–1122. 389 indexed citations
7.
Sejnowski, T. J., et al.. (1997). The “independent components” of natural scenes are edge filters. Vision Research. 37(23). 3327–3338. 1471 indexed citations breakdown →
8.
Prank, Klaus, et al.. (1996). Self-organized segmentation of time series: separating growth hormone secretion in acromegaly from normal controls. Biophysical Journal. 70(6). 2540–2547. 17 indexed citations
10.
Lac, Sophie, Jennifer L Raymond, T. J. Sejnowski, & S. G. Lisberger. (1995). Learning and Memory in the Vestibulo-Ocular Reflex. Annual Review of Neuroscience. 18(1). 409–441. 174 indexed citations
11.
Montague, P. Read, et al.. (1995). Bee foraging in uncertain environments using predictive hebbian learning. Nature. 377(6551). 725–728. 209 indexed citations
12.
Jester, Jennifer M., Lee W. Campbell, & T. J. Sejnowski. (1995). Associative EPSP‐‐spike potentiation induced by pairing orthodromic and antidromic stimulation in rat hippocampal slices.. The Journal of Physiology. 484(3). 689–705. 62 indexed citations
13.
Obermayer, Klaus, T. J. Sejnowski, & Gary G. Blasdel. (1995). Neural pattern formation via a competitive Hebbian mechanism. Behavioural Brain Research. 66(1-2). 161–167. 12 indexed citations
14.
Destexhe, Alain, A. Babloyantz, & T. J. Sejnowski. (1993). Ionic mechanisms for intrinsic slow oscillations in thalamic relay neurons. Biophysical Journal. 65(4). 1538–1552. 124 indexed citations
15.
Lockery, Shawn R. & T. J. Sejnowski. (1993). A lower bound on the detectability of nonassociative learning in the local bending reflex of the medicinal leech. Behavioral and Neural Biology. 59(3). 208–224. 16 indexed citations
16.
Sejnowski, T. J. & Patricia Smith Churchland. (1992). Silicon brains: innovative computer devices are being inspired by the results of research on the brains of nature's creatures. BYTE archive. 17(10). 137. 2 indexed citations
17.
Lisberger, S. G. & T. J. Sejnowski. (1992). Motor learning in a recurrent network model based on the vestibulo–ocular reflex. Nature. 360(6400). 159–161. 150 indexed citations
18.
Lehky, Sidney R., Alexandre Pouget, & T. J. Sejnowski. (1990). Neural Models of Binocular Depth Perception. Cold Spring Harbor Symposia on Quantitative Biology. 55(0). 765–777. 23 indexed citations
19.
Lehky, Sidney R., Jennifer M. Jester, & T. J. Sejnowski. (1987). Line element model of disparity discrimination. 293. 3 indexed citations
20.
Sejnowski, T. J.. (1976). On the stochastic dynamics of neuronal interaction. Biological Cybernetics. 22(4). 203–211. 65 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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