Terrence J. Sejnowski
- Cognitive Neuroscience top 0.01%
- Cellular and Molecular Neuroscience top 0.01%
- Signal Processing top 0.01%
- Artificial Intelligence top 0.02%
- Molecular Biology top 0.5%
- Co-authors
- Anthony J. BellScott MakeigTzyy‐Ping JungGeoffrey E. HintonZachary F. MainenMartin J. McKeownAlain DestexhePatricia Smith Churchland
- Topics
- Neural dynamics and brain function (339 papers)Neuroscience and Neuropharmacology Research (129 papers)Blind Source Separation Techniques (87 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Terrence J. Sejnowski
598 papers receiving 70.1k citations
Hit Papers
Peers
Comparison fields: 5 of 236
- Cognitive Neuroscience 43.2k
- Cellular and Molecular Neuroscience 18.3k
- Signal Processing 12.0k
- Artificial Intelligence 10.4k
- Molecular Biology 7.8k
Countries citing papers authored by Terrence J. Sejnowski
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Large Language Models and the Reverse Turing Testbreakdown → | 70 |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 26 | |
| 8 | 7 | |
| 9 | 71 | |
| 10 | 120 | |
| 11 | 43 | |
| 12 | 8 | |
| 13 | 45 | |
| 14 | Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortexbreakdown → | 326 |
| 15 | 41 | |
| 16 | The BRAIN Initiative: developing technology to catalyse neuroscience discovery. | 0 |
| 17 | 195 | |
| 18 | 167 | |
| 19 | 28 | |
| 20 | 69 |
About Terrence J. Sejnowski
Terrence J. Sejnowski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 619 papers that have together received 73.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (339 papers), Neuroscience and Neuropharmacology Research (129 papers) and Blind Source Separation Techniques (87 papers). The work is most often cited by research in Cognitive Neuroscience (43.2k citations), Signal Processing (12.0k citations) and Cellular and Molecular Neuroscience (18.3k citations). Terrence J. Sejnowski has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Anthony J. Bell, Scott Makeig, Tzyy‐Ping Jung, Geoffrey E. Hinton, Zachary F. Mainen, Martin J. McKeown, Alain Destexhe, Patricia Smith Churchland, Te-Won Lee and Emilio Salinas. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.