Pegah Kahali
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience
- Pediatrics, Perinatology and Child Health
- Anesthesiology and Pain Medicine top 10%
- Critical Care and Intensive Care Medicine top 10%
- Co-authors
- Yogesh RathiEmery N. BrownFan ZhangLaura RigoloIsaiah NortonOlutayo I. OlubiyiAlexandra J. GolbyLauren J. O’Donnell
- Topics
- Advanced Neuroimaging Techniques and Applications (4 papers)Functional Brain Connectivity Studies (3 papers)Neural dynamics and brain function (2 papers)
- Cited by
- Computational MathematicsAnesthesiology and Pain MedicineCritical Care and Intensive Care Medicine
- Journals
- Proceedings of the National Academy of SciencesAnesthesia & AnalgesiaPLoS Computational Biology
- Partner nations
- United StatesItalyTürkiye
In The Last Decade
Pegah Kahali
9 papers receiving 273 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 163
- Cognitive Neuroscience 90
- Pediatrics, Perinatology and Child Health 79
- Anesthesiology and Pain Medicine 60
- Critical Care and Intensive Care Medicine 47
Countries citing papers authored by Pegah Kahali
This map shows the geographic impact of Pegah Kahali'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 Pegah Kahali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pegah Kahali more than expected).
Fields of papers citing papers by Pegah Kahali
This network shows the impact of papers produced by Pegah Kahali. 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 Pegah Kahali. The network helps show where Pegah Kahali may publish in the future.
Co-authorship network of co-authors of Pegah Kahali
This figure shows the co-authorship network connecting the top 25 collaborators of Pegah Kahali. A scholar is included among the top collaborators of Pegah Kahali 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 Pegah Kahali. Pegah Kahali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 13 | |
| 3 | 59 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 37 | |
| 8 | 8 | |
| 9 | 102 |
About Pegah Kahali
Pegah Kahali is a scholar working on Computational Mathematics, Anatomy and Anesthesiology and Pain Medicine, having authored 9 papers that have together received 274 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Computational Mathematics (11 citations), Anesthesiology and Pain Medicine (60 citations) and Critical Care and Intensive Care Medicine (47 citations). Pegah Kahali has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Yogesh Rathi, Emery N. Brown, Fan Zhang, Laura Rigolo, Isaiah Norton, Olutayo I. Olubiyi, Alexandra J. Golby, Lauren J. O’Donnell, Patrick L. Purdon and Walid Ibn Essayed. Their work appears in journals such as Proceedings of the National Academy of Sciences, Anesthesia & Analgesia and PLoS Computational Biology.
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.