Prasanna Jayakar
- Psychiatry and Mental health top 0.2%
- Pediatrics, Perinatology and Child Health top 0.5%
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Trevor ResnickMichael DuchownyGlenn MorrisonPatricia DeanJohn RaghebLuis ÁlvarezCatalina DunoyerIlker Yaylali
- Topics
- Epilepsy research and treatment (59 papers)EEG and Brain-Computer Interfaces (31 papers)Neonatal and fetal brain pathology (24 papers)
- Cited by
- Psychiatry and Mental healthPediatrics, Perinatology and Child HealthCognitive Neuroscience
- Partner nations
- United StatesCanadaCzechia
In The Last Decade
Prasanna Jayakar
98 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 109
- Psychiatry and Mental health 2.9k
- Pediatrics, Perinatology and Child Health 1.9k
- Cognitive Neuroscience 1.3k
- Cellular and Molecular Neuroscience 1.0k
- Radiology, Nuclear Medicine and Imaging 435
Countries citing papers authored by Prasanna Jayakar
This map shows the geographic impact of Prasanna Jayakar'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 Prasanna Jayakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanna Jayakar more than expected).
Fields of papers citing papers by Prasanna Jayakar
This network shows the impact of papers produced by Prasanna Jayakar. 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 Prasanna Jayakar. The network helps show where Prasanna Jayakar may publish in the future.
Co-authorship network of co-authors of Prasanna Jayakar
This figure shows the co-authorship network connecting the top 25 collaborators of Prasanna Jayakar. A scholar is included among the top collaborators of Prasanna Jayakar 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 Prasanna Jayakar. Prasanna Jayakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 71 | |
| 4 | 6 | |
| 5 | 43 | |
| 6 | 11 | |
| 7 | 221 | |
| 8 | 33 | |
| 9 | 43 | |
| 10 | 29 | |
| 11 | 56 | |
| 12 | An Integrated Approach to Localize Epileptic Foci using Relative Spect Subtraction. | 1 |
| 13 | 15 | |
| 14 | 51 | |
| 15 | Preoperative evaluation of intractable epilepsy in childhood | 1 |
| 16 | 35 | |
| 17 | 44 | |
| 18 | 41 | |
| 19 | 170 | |
| 20 | 32 |
About Prasanna Jayakar
Prasanna Jayakar is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 99 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epilepsy research and treatment (59 papers), EEG and Brain-Computer Interfaces (31 papers) and Neonatal and fetal brain pathology (24 papers). The work is most often cited by research in Psychiatry and Mental health (2.9k citations), Pediatrics, Perinatology and Child Health (1.9k citations) and Cognitive Neuroscience (1.3k citations). Prasanna Jayakar has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Trevor Resnick, Michael Duchowny, Glenn Morrison, Patricia Dean, Michael Duchowny, John Ragheb, Luis Álvarez, Catalina Dunoyer, Ilker Yaylali and Pavel Kršek. Their work appears in journals such as Neurology, Annals of Neurology and Radiology.
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.