Kaustubh Supekar
- Cognitive Neuroscience top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Experimental and Cognitive Psychology top 1%
- Psychiatry and Mental health top 1%
- Molecular Biology
- Co-authors
- Vinod MenonMichael D. GreiciusRobert F. DoughertySrikanth RyaliMark A. MusenLucina Q. UddinTianwen ChenDaniel J. Rubin
- Topics
- Functional Brain Connectivity Studies (37 papers)Neural dynamics and brain function (17 papers)Semantic Web and Ontologies (13 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesJapanItaly
In The Last Decade
Kaustubh Supekar
63 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Cognitive Neuroscience 6.6k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Experimental and Cognitive Psychology 1.1k
- Psychiatry and Mental health 1.1k
- Molecular Biology 532
Countries citing papers authored by Kaustubh Supekar
This map shows the geographic impact of Kaustubh Supekar'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 Kaustubh Supekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaustubh Supekar more than expected).
Fields of papers citing papers by Kaustubh Supekar
This network shows the impact of papers produced by Kaustubh Supekar. 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 Kaustubh Supekar. The network helps show where Kaustubh Supekar may publish in the future.
Co-authorship network of co-authors of Kaustubh Supekar
This figure shows the co-authorship network connecting the top 25 collaborators of Kaustubh Supekar. A scholar is included among the top collaborators of Kaustubh Supekar 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 Kaustubh Supekar. Kaustubh Supekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 64 | |
| 6 | 146 | |
| 7 | 39 | |
| 8 | 96 | |
| 9 | 91 | |
| 10 | 193 | |
| 11 | 88 | |
| 12 | 416 | |
| 13 | 391 | |
| 14 | 89 | |
| 15 | Medical Imaging on the Semantic Web: Annotation and Image Markup. | 55 |
| 16 | Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Networkbreakdown → | 1724 |
| 17 | 23 | |
| 18 | BEE-SMART - A Natural Language Interface For Knowledge Retrieval and Service Execution over the Semantic Web2. | 0 |
| 19 | Characterizing Quality of Knowledge on Semantic Web | 27 |
| 20 | 5 |
About Kaustubh Supekar
Kaustubh Supekar is a scholar working on Cognitive Neuroscience, Statistics and Probability and Experimental and Cognitive Psychology, having authored 64 papers that have together received 8.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (37 papers), Neural dynamics and brain function (17 papers) and Semantic Web and Ontologies (13 papers). The work is most often cited by research in Cognitive Neuroscience (6.6k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Experimental and Cognitive Psychology (1.1k citations). Kaustubh Supekar has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Vinod Menon, Michael D. Greicius, Robert F. Dougherty, Srikanth Ryali, Mark A. Musen, Lucina Q. Uddin, Tianwen Chen, Daniel J. Rubin, Jennifer M. Phillips and Amirah Khouzam. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.