Satyananda Kashyap

610 total citations
18 papers, 276 citations indexed

About

Satyananda Kashyap is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Satyananda Kashyap has authored 18 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Satyananda Kashyap's work include COVID-19 diagnosis using AI (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Satyananda Kashyap is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Satyananda Kashyap collaborates with scholars based in United States, Canada and Germany. Satyananda Kashyap's co-authors include Milan Sonka, Alexandros Karargyris, Joy T. Wu, Ken C. L. Wong, Tanveer Syeda-Mahmood, Mehdi Moradi, İpek Oğuz, Yaniv Gur, Jun Kong and Mousumi Roy and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Osteoarthritis and Cartilage.

In The Last Decade

Satyananda Kashyap

18 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satyananda Kashyap United States 8 156 87 56 54 41 18 276
Umair Javaid Belgium 6 149 1.0× 86 1.0× 51 0.9× 28 0.5× 50 1.2× 11 287
Jiayu Huo China 9 352 2.3× 189 2.2× 91 1.6× 61 1.1× 71 1.7× 18 495
Liyan Pan China 8 96 0.6× 90 1.0× 32 0.6× 32 0.6× 33 0.8× 18 279
Feyisope Eweje United States 6 138 0.9× 78 0.9× 57 1.0× 13 0.2× 34 0.8× 9 239
Paul Hérent France 5 187 1.2× 108 1.2× 32 0.6× 14 0.3× 22 0.5× 6 316
Tobias Hepp Germany 12 263 1.7× 89 1.0× 19 0.3× 54 1.0× 69 1.7× 26 405
Alanna Vial Australia 5 242 1.6× 117 1.3× 84 1.5× 44 0.8× 62 1.5× 8 440
Shujun Liang China 9 309 2.0× 182 2.1× 58 1.0× 105 1.9× 44 1.1× 20 467
Firas Khader Germany 9 192 1.2× 164 1.9× 52 0.9× 84 1.6× 23 0.6× 17 376
Rongguo Zhang China 5 193 1.2× 68 0.8× 52 0.9× 13 0.2× 105 2.6× 8 328

Countries citing papers authored by Satyananda Kashyap

Since Specialization
Citations

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

Fields of papers citing papers by Satyananda Kashyap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satyananda Kashyap

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

All Works

18 of 18 papers shown
1.
Wong, Ken C. L., Satyananda Kashyap, & Mehdi Moradi. (2023). Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognition Letters. 177. 1–6. 1 indexed citations
2.
Jadhav, Ashutosh P., et al.. (2022). Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms.. PubMed. 2022. 570–579. 4 indexed citations
3.
Roy, Mousumi, Jun Kong, Satyananda Kashyap, et al.. (2021). Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images. Scientific Reports. 11(1). 139–139. 39 indexed citations
4.
Rajan, Deepta, Jayaraman J. Thiagarajan, Alexandros Karargyris, & Satyananda Kashyap. (2020). Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification.. arXiv (Cornell University). 2 indexed citations
5.
Shivade, Chaitanya, Satyananda Kashyap, Joy T. Wu, et al.. (2020). Towards Visual Dialog for Radiology. 60–69. 21 indexed citations
6.
Kashyap, Satyananda, Alexandros Karargyris, Joy T. Wu, et al.. (2020). Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. arXiv (Cornell University). 1125–1129. 9 indexed citations
7.
Wu, Joy T., Ken C. L. Wong, Yaniv Gur, et al.. (2020). Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents. JAMA Network Open. 3(10). e2022779–e2022779. 91 indexed citations
8.
Moradi, Mehdi, Eliot L. Siegel, Satyananda Kashyap, et al.. (2019). Artificial intelligence for point of care radiograph quality assessment. 128–128. 9 indexed citations
9.
Syeda-Mahmood, Tanveer, Nadeem A. Ansari, Yaniv Gur, et al.. (2019). Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. 863–867. 1 indexed citations
10.
Karargyris, Alexandros, Satyananda Kashyap, Joy T. Wu, et al.. (2019). Age prediction using a large chest x-ray dataset. 66–66. 23 indexed citations
11.
Kashyap, Satyananda, et al.. (2017). Accurate Fully Automated 4D Segmentation of Osteoarthritic Knee MRI. Osteoarthritis and Cartilage. 25. S227–S228. 2 indexed citations
12.
Kashyap, Satyananda, et al.. (2017). Just Enough Interaction for Fast Minimally Interactive Correction of 4D Segmentation of Knee MRI. Osteoarthritis and Cartilage. 25. S224–S225. 1 indexed citations
13.
Kashyap, Satyananda, et al.. (2017). Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative. IEEE Transactions on Medical Imaging. 37(5). 1103–1113. 34 indexed citations
14.
Guo, Zhihui, Satyananda Kashyap, Milan Sonka, & İpek Oğuz. (2017). Machine learning in a graph framework for subcortical segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10133. 101330H–101330H. 4 indexed citations
15.
Oğuz, İpek, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, & Milan Sonka. (2016). Globally Optimal Label Fusion with Shape Priors. Lecture notes in computer science. 9901. 538–546. 7 indexed citations
16.
Kashyap, Satyananda, İpek Oğuz, Honghai Zhang, & Milan Sonka. (2016). Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. Lecture notes in computer science. 9901. 344–351. 19 indexed citations
17.
Kashyap, Satyananda, Yin Yin, & Milan Sonka. (2013). Automated analysis of cartilage morphology. 1300–1303. 3 indexed citations
18.
Kashyap, Satyananda, et al.. (2010). Non-Iterative Regularized reconstruction Algorithm for Non-CartesiAn MRI: NIRVANA. Magnetic Resonance Imaging. 29(2). 222–229. 6 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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