Joseph S. Gati
- Cognitive Neuroscience top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Physiology top 2%
- Psychiatry and Mental health top 1%
- Experimental and Cognitive Psychology top 1%
- Co-authors
- Ravi S. MenonMelvyn A. GoodaleStefan EverlingPaul M. MatthewsIrene TraceyStuart ClareAlexander PloghausR. Matthew Hutchison
- Topics
- Advanced MRI Techniques and Applications (47 papers)Functional Brain Connectivity Studies (41 papers)Neural dynamics and brain function (30 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Joseph S. Gati
115 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cognitive Neuroscience 6.2k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Physiology 1.2k
- Psychiatry and Mental health 1.1k
- Experimental and Cognitive Psychology 1.1k
Countries citing papers authored by Joseph S. Gati
This map shows the geographic impact of Joseph S. Gati'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 Joseph S. Gati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph S. Gati more than expected).
Fields of papers citing papers by Joseph S. Gati
This network shows the impact of papers produced by Joseph S. Gati. 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 Joseph S. Gati. The network helps show where Joseph S. Gati may publish in the future.
Co-authorship network of co-authors of Joseph S. Gati
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph S. Gati. A scholar is included among the top collaborators of Joseph S. Gati 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 Joseph S. Gati. Joseph S. Gati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | 32 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 23 | |
| 8 | Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaquesbreakdown → | 575 |
| 9 | 54 | |
| 10 | 4 | |
| 11 | 23 | |
| 12 | 38 | |
| 13 | 19 | |
| 14 | 76 | |
| 15 | 98 | |
| 16 | 377 | |
| 17 | 30 | |
| 18 | Is the best magnetic field strength for fMRI really the one you have | 1 |
| 19 | 9 | |
| 20 | Perceptual stability correlates with activity in early visual areas | 1 |
About Joseph S. Gati
Joseph S. Gati is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Speech and Hearing, having authored 116 papers that have together received 10.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (47 papers), Functional Brain Connectivity Studies (41 papers) and Neural dynamics and brain function (30 papers). The work is most often cited by research in Cognitive Neuroscience (6.2k citations), Behavioral Neuroscience (399 citations) and Radiology, Nuclear Medicine and Imaging (2.1k citations). Joseph S. Gati has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ravi S. Menon, Melvyn A. Goodale, Stefan Everling, Paul M. Matthews, Irene Tracey, Stuart Clare, Alexander Ploghaus, R. Matthew Hutchison, Kristine Boksman and Maria Densmore. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.