TJ Sejnowski
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Co-authors
- P. Read MontaguePeter DayanMircea SteriadeDiego ContrerasAlain DestexheRobert DesimoneJennifer M. JesterWilliam W. Lytton
- Topics
- Neural dynamics and brain function (6 papers)Visual perception and processing mechanisms (3 papers)Neurobiology and Insect Physiology Research (3 papers)
- Journals
- Journal of NeurosciencePubMedQueensland's institutional digital repository (The University of Queensland)
- Partner nations
- United States
In The Last Decade
TJ Sejnowski
10 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 1.6k
- Cellular and Molecular Neuroscience 936
- Molecular Biology 386
- Experimental and Cognitive Psychology 151
- Artificial Intelligence 127
Countries citing papers authored by TJ Sejnowski
This map shows the geographic impact of TJ 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 TJ Sejnowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TJ Sejnowski more than expected).
Fields of papers citing papers by TJ Sejnowski
This network shows the impact of papers produced by TJ 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 TJ Sejnowski. The network helps show where TJ Sejnowski may publish in the future.
Co-authorship network of co-authors of TJ Sejnowski
This figure shows the co-authorship network connecting the top 25 collaborators of TJ Sejnowski. A scholar is included among the top collaborators of TJ 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 TJ Sejnowski. TJ Sejnowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 196 | |
| 2 | A framework for mesencephalic dopamine systems based on predictive Hebbian learningbreakdown → | 1411 |
| 3 | Quantifying neighbourhood preservation in topographic mappings | 28 |
| 4 | 138 | |
| 5 | 40 | |
| 6 | 44 | |
| 7 | Expectation learning in the brain using diffuse ascending projections | 4 |
| 8 | 38 | |
| 9 | 108 | |
| 10 | Peptidergic synaptic transmission in sympathetic ganglia. | 23 |
About TJ Sejnowski
TJ Sejnowski is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Geometry and Topology, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (936 citations) and General Decision Sciences (90 citations). TJ Sejnowski has collaborated with scholars based in United States. Frequent co-authors include P. Read Montague, Peter Dayan, Mircea Steriade, Diego Contreras, Alain Destexhe, Robert Desimone, Jennifer M. Jester and William W. Lytton. Their work appears in journals such as Journal of Neuroscience, PubMed and Queensland's institutional digital repository (The University of Queensland).
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.