Prasanth Prasanna

448 total citations
15 papers, 239 citations indexed

About

Prasanth Prasanna is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prasanth Prasanna has authored 15 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prasanth Prasanna's work include Medical Imaging Techniques and Applications (5 papers), Medical Image Segmentation Techniques (5 papers) and Advanced X-ray and CT Imaging (5 papers). Prasanth Prasanna is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Medical Image Segmentation Techniques (5 papers) and Advanced X-ray and CT Imaging (5 papers). Prasanth Prasanna collaborates with scholars based in United States, Switzerland and Australia. Prasanth Prasanna's co-authors include Tanveer Syeda-Mahmood, Mehdi Moradi, Hongzhi Wang, Yu Cao, Eliot L. Siegel, Hongzhi Wang, Paul Nagy, F. Jacob Seagull, Emmanouíl Karteris and Steven Winn and has published in prestigious journals such as Radiographics, Computerized Medical Imaging and Graphics and Journal of the American College of Radiology.

In The Last Decade

Prasanth Prasanna

15 papers receiving 232 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prasanth Prasanna United States 9 160 61 58 37 30 15 239
Ural Koç Türkiye 8 198 1.2× 45 0.7× 189 3.3× 83 2.2× 30 1.0× 29 343
Brian Gale United States 6 217 1.4× 46 0.8× 32 0.6× 34 0.9× 38 1.3× 8 286
Reabal Najjar Australia 4 215 1.3× 116 1.9× 162 2.8× 80 2.2× 50 1.7× 6 390
Mohammad Reza Afrash Iran 9 60 0.4× 14 0.2× 65 1.1× 74 2.0× 22 0.7× 31 259
Julian Schirmer Germany 4 58 0.4× 44 0.7× 135 2.3× 56 1.5× 8 0.3× 13 263
Mohammad Rawashdeh Jordan 11 261 1.6× 121 2.0× 9 0.2× 117 3.2× 106 3.5× 64 403
Ameer Khan United Kingdom 6 111 0.7× 29 0.5× 71 1.2× 51 1.4× 17 0.6× 14 260
René Eber France 3 59 0.4× 29 0.5× 143 2.5× 63 1.7× 10 0.3× 4 248
Lauren Oakden‐Rayner Australia 11 152 0.9× 64 1.0× 207 3.6× 99 2.7× 48 1.6× 19 380
Ameena Elahi United States 7 150 0.9× 34 0.6× 126 2.2× 55 1.5× 27 0.9× 21 247

Countries citing papers authored by Prasanth Prasanna

Since Specialization
Citations

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

Fields of papers citing papers by Prasanth Prasanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasanth Prasanna. 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 Prasanth Prasanna. The network helps show where Prasanth Prasanna may publish in the future.

Co-authorship network of co-authors of Prasanth Prasanna

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

All Works

15 of 15 papers shown
1.
Born, Jannis, David Beymer, Deepta Rajan, et al.. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns. 2(6). 100269–100269. 38 indexed citations
2.
Cook, Tessa S., et al.. (2021). The Role of Imaging Informatics in Disaster Preparedness During the COVID-19 Pandemic. Journal of Digital Imaging. 34(2). 330–336. 4 indexed citations
3.
Born, Jannis, David Beymer, Deepta Rajan, et al.. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns. 2(8). 100330–100330. 11 indexed citations
4.
Filice, Ross W., Anouk Stein, Carol C. Wu, et al.. (2019). Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. Journal of Digital Imaging. 33(2). 490–496. 34 indexed citations
5.
Wang, Hongzhi, et al.. (2018). Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning. Computerized Medical Imaging and Graphics. 68. 16–24. 10 indexed citations
6.
Tang, Hui, Mehdi Moradi, Ahmed Harouni, et al.. (2018). Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. 6–6. 4 indexed citations
7.
Wang, Hongzhi, Prasanth Prasanna, & Tanveer Syeda-Mahmood. (2018). Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. 2 indexed citations
8.
Tang, Hui, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, & Tanveer Syeda-Mahmood. (2017). An algorithm for fully automatic detection of calcium in chest CT imaging. 43. 265–269. 1 indexed citations
9.
Wang, Hongzhi, Prasanth Prasanna, & Tanveer Syeda-Mahmood. (2017). Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. 26. 223–226. 2 indexed citations
10.
Moradi, Mehdi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, & Tanveer Syeda-Mahmood. (2016). A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. 1418–1421. 12 indexed citations
11.
Liang, Xi, et al.. (2015). Automatic segmentation of the left ventricle into 17 anatomical regions in cardiac MR imaging. PubMed. 2015. 6531–6535. 5 indexed citations
12.
Cao, Yu, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, & Tanveer Syeda-Mahmood. (2015). Fracture detection in x-ray images through stacked random forests feature fusion. 801–805. 55 indexed citations
13.
Prasanna, Prasanth, et al.. (2011). Greening Radiology. Journal of the American College of Radiology. 8(11). 780–784. 31 indexed citations
14.
Prasanna, Prasanth, F. Jacob Seagull, & Paul Nagy. (2011). Online Social Networking: A Primer for Radiology. Journal of Digital Imaging. 24(5). 908–912. 18 indexed citations
15.
Prasanna, Prasanth, et al.. (2010). Giant Cavernous Hemangioma. Radiographics. 30(4). 1139–1144. 12 indexed citations

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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