Jai Prashanth Rao

2.0k citations
19 papers · 1.3k indexed · 1 hit paper · h-index 8
Topics
Glioma Diagnosis and Treatment (3 papers)Meningioma and schwannoma management (3 papers)Traumatic Brain Injury and Neurovascular Disturbances (3 papers)

In The Last Decade

Jai Prashanth Rao

18 papers receiving 1.3k citations

Hit Papers

Deep Learning Applications in Medical Image Analysis20172026202020232017250500750

Peers

Jai Prashanth Rao
Comparison fields: 5 of 134
  • Radiology, Nuclear Medicine and Imaging 555
  • Artificial Intelligence 515
  • Computer Vision and Pattern Recognition 356
  • Neurology 219
  • Biomedical Engineering 190
Replace Justin Ker with:
Justin Ker Singapore
Ahmed Elazab China
Sanjay Saxena India
Marius George Linguraru United States
Hyunna Lee South Korea
Assaf Hoogi United States
Óscar Cámara Spain
Carmelo Militello Italy
Mainak Biswas India
Muhammad Haris Khan Pakistan
Jai Prashanth Rao relative to Justin Ker Singapore Justin Ker's profile →
Citations per field
00.5×1.5×
Justin Ker · 1×
Citations per year

Countries citing papers authored by Jai Prashanth Rao

Since Specialization
Citations

This map shows the geographic impact of Jai Prashanth Rao'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 Jai Prashanth Rao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jai Prashanth Rao more than expected).

Fields of papers citing papers by Jai Prashanth Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai Prashanth Rao. 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 Jai Prashanth Rao. The network helps show where Jai Prashanth Rao may publish in the future.

Co-authorship network of co-authors of Jai Prashanth Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Jai Prashanth Rao. A scholar is included among the top collaborators of Jai Prashanth Rao 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 Jai Prashanth Rao. Jai Prashanth Rao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 8
3 1
4 1
5 1
6 4
7 4
8 3
9 37
10 7
11 118
12 131
13 27
14 2
15
Deep Learning Applications in Medical Image Analysisbreakdown →
941
16 22
17 3
18 29
19 4

About Jai Prashanth Rao

Jai Prashanth Rao is a scholar working on General Dentistry, Neurology and Genetics, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Health Informatics (64 citations), Neurology (219 citations) and Radiology, Nuclear Medicine and Imaging (555 citations). Jai Prashanth Rao has collaborated with scholars based in Singapore, United Kingdom and France. Frequent co-authors include Justin Ker, Lipo Wang, C. C. Tchoyoson Lim, Yeqi Bai, Hwei Yee Lee, Satya P. Singh, Nicolas Kon Kam King, Ady Thien, Wai Hoe Ng and Julian Xinguang Han. Their work appears in journals such as PLoS ONE, Journal of neurosurgery and IEEE Access.

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.

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