Prasanna Parvathaneni
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- Advanced Neuroimaging Techniques and Applications 21
- Advanced MRI Techniques and Applications 14
- MRI in cancer diagnosis 9
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- Medical Image Segmentation Techniques 7
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- Brain Tumor Detection and Classification 3
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- Functional Brain Connectivity Studies 3
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- Bone and Joint Diseases 5
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- Fetal and Pediatric Neurological Disorders 3
- Co-authors
- Bennett A. LandmanYuankai HuoShunxing BaoCamilo BermudezZhoubing XuSusan M. ResnickKatherine S. AboudLaurie E. Cutting
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Prasanna Parvathaneni
29 papers receiving 413 citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 257
- Computer Vision and Pattern Recognition 112
- Neurology 44
- Cognitive Neuroscience 72
- Health Informatics 4
Countries citing papers authored by Prasanna Parvathaneni
This map shows the geographic impact of Prasanna Parvathaneni'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 Parvathaneni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanna Parvathaneni more than expected).
Fields of papers citing papers by Prasanna Parvathaneni
This network shows the impact of papers produced by Prasanna Parvathaneni. 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 Parvathaneni. The network helps show where Prasanna Parvathaneni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prasanna Parvathaneni, 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 | 2023 | 1 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 9 | |
| 4 | 2019 | 2 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 1 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 185 | |
| 11 | 2019 | 11 | |
| 12 | 2019 | 6 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 2 | |
| 17 | 2018 | 1 | |
| 18 | 2017 | 19 | |
| 19 | 2017 | 4 | |
| 20 | 2015 | 5 |
About Prasanna Parvathaneni
Prasanna Parvathaneni is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Neurology, having authored 30 papers that have together received 417 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (21 papers), Advanced MRI Techniques and Applications (14 papers), MRI in cancer diagnosis (9 papers), Medical Image Segmentation Techniques (7 papers), Bone and Joint Diseases (5 papers), Fetal and Pediatric Neurological Disorders (3 papers), Brain Tumor Detection and Classification (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (257 citations), Computer Vision and Pattern Recognition (112 citations) and Neurology (44 citations). Prasanna Parvathaneni has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Bennett A. Landman, Yuankai Huo, Shunxing Bao, Camilo Bermudez, Zhoubing Xu, Susan M. Resnick, Katherine S. Aboud, Laurie E. Cutting, Vishwesh Nath and Kurt G. Schilling. Their work appears in journals such as NeuroImage, Neurology and Magnetic Resonance in Medicine.
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.