Gautam Prasad
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 5%
- Co-authors
- Paul M. ThompsonIan H. GotlibBohyung HanPhuc NguyenTing LiuArthur W. TogaMatthew D. SacchetLara C. Foland‐Ross
- Topics
- Advanced Neuroimaging Techniques and Applications (26 papers)Functional Brain Connectivity Studies (21 papers)Advanced MRI Techniques and Applications (15 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Gautam Prasad
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Cognitive Neuroscience 569
- Radiology, Nuclear Medicine and Imaging 390
- Computer Vision and Pattern Recognition 386
- Experimental and Cognitive Psychology 245
- Artificial Intelligence 225
Countries citing papers authored by Gautam Prasad
This map shows the geographic impact of Gautam Prasad'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 Gautam Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gautam Prasad more than expected).
Fields of papers citing papers by Gautam Prasad
This network shows the impact of papers produced by Gautam Prasad. 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 Gautam Prasad. The network helps show where Gautam Prasad may publish in the future.
Co-authorship network of co-authors of Gautam Prasad
This figure shows the co-authorship network connecting the top 25 collaborators of Gautam Prasad. A scholar is included among the top collaborators of Gautam Prasad 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 Gautam Prasad. Gautam Prasad 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 | 10 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 98 | |
| 10 | 93 | |
| 11 | 6 | |
| 12 | 87 | |
| 13 | 56 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 127 |
About Gautam Prasad
Gautam Prasad is a scholar working on Computational Mathematics, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (26 papers), Functional Brain Connectivity Studies (21 papers) and Advanced MRI Techniques and Applications (15 papers). The work is most often cited by research in Cognitive Neuroscience (569 citations), Computational Mathematics (17 citations) and Computer Vision and Pattern Recognition (386 citations). Gautam Prasad has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Paul M. Thompson, Ian H. Gotlib, Bohyung Han, Phuc Nguyen, Ting Liu, Arthur W. Toga, Matthew D. Sacchet, Lara C. Foland‐Ross, Neda Jahanshad and Hartwig Adam. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and NeuroImage.
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.