Jeff Daskalakis
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
Papers in
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- Transcranial Magnetic Stimulation Studies 6
- Neurological disorders and treatments 2
- Neurology and Historical Studies 1
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- EEG and Brain-Computer Interfaces 1
- Co-authors
- Jayashri Kulkarni (4 shared papers)Paul B. Fitzgerald (4 shared papers)Timothy L. Brown (2 shared papers)Jessica Benitez Mendieta (3 shared papers)Marcelo T. Berlim (1 shared paper)Pedro Shiozawa (1 shared paper)Quirino Cordeiro (1 shared paper)André R. Brunoni (1 shared paper)
- Journals
- Biological Psychiatry (2 papers)American Journal of Psychiatry (1 paper)Neuroreport (1 paper)The World Journal of Biological Psychiatry (1 paper)The International Journal of Neuropsychopharmacology (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Jeff Daskalakis
9 papers receiving 455 citations
Peers
Comparison fields: 5 of 45
- Neurology 359
- Cognitive Neuroscience 237
- Psychiatry and Mental health 182
- Anesthesiology and Pain Medicine 32
- Neurology 65
Countries citing papers authored by Jeff Daskalakis
This map shows the geographic impact of Jeff Daskalakis'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 Jeff Daskalakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Daskalakis more than expected).
Fields of papers citing papers by Jeff Daskalakis
This network shows the impact of papers produced by Jeff Daskalakis. 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 Jeff Daskalakis. The network helps show where Jeff Daskalakis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Daskalakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 186 | |
| 2 | 2005 | 100 | |
| 3 | 2001 | 60 | |
| 4 | 2002 | 56 | |
| 5 | 2006 | 39 | |
| 6 | 2005 | 28 | |
| 7 | 2019 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2018 | 1 |
About Jeff Daskalakis
Jeff Daskalakis is a scholar working on Neurology, Cognitive Neuroscience, Neurology, Clinical Psychology and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 476 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (6 papers), Neurological disorders and treatments (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Schizophrenia research and treatment (1 paper), Neurology and Historical Studies (1 paper), Pituitary Gland Disorders and Treatments (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Neurology (359 citations), Cognitive Neuroscience (237 citations), Psychiatry and Mental health (182 citations), Anesthesiology and Pain Medicine (32 citations) and Neurology (65 citations). Jeff Daskalakis has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Jayashri Kulkarni, Paul B. Fitzgerald, Timothy L. Brown, Jessica Benitez Mendieta, Marcelo T. Berlim, Pedro Shiozawa, Quirino Cordeiro, André R. Brunoni, Felipe Fregni and Isabela M. Benseñor. Their work appears in journals such as Biological Psychiatry, American Journal of Psychiatry, Neuroreport, The World Journal of Biological Psychiatry and The International Journal of Neuropsychopharmacology.
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.