Nishant Ravikumar

2.4k total citations
63 papers, 669 citations indexed

About

Nishant Ravikumar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Nishant Ravikumar has authored 63 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Computer Vision and Pattern Recognition and 14 papers in Biomedical Engineering. Recurrent topics in Nishant Ravikumar's work include Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Image Segmentation Techniques (17 papers) and AI in cancer detection (7 papers). Nishant Ravikumar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Image Segmentation Techniques (17 papers) and AI in cancer detection (7 papers). Nishant Ravikumar collaborates with scholars based in United Kingdom, Belgium and Germany. Nishant Ravikumar's co-authors include Alejandro F. Frangi, Andreas Maier, Zeike A. Taylor, Sulaiman Vesal, Andres Diaz‐Pinto, Xiang Chen, Yan Xia, Stefan Neubauer, Steffen E. Petersen and Christopher Noble and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Nishant Ravikumar

56 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nishant Ravikumar United Kingdom 15 325 205 142 105 66 63 669
Lixu Gu China 19 343 1.1× 371 1.8× 319 2.2× 127 1.2× 84 1.3× 123 1.0k
Hervé Lombaert Canada 14 351 1.1× 432 2.1× 131 0.9× 118 1.1× 53 0.8× 40 843
Yijun Huang United States 8 508 1.6× 81 0.4× 402 2.8× 132 1.3× 67 1.0× 23 870
Binjie Qin China 14 351 1.1× 226 1.1× 228 1.6× 158 1.5× 30 0.5× 37 759
Francesco Leporati Italy 16 221 0.7× 185 0.9× 198 1.4× 123 1.2× 12 0.2× 91 914
Sejung Yang South Korea 15 95 0.3× 168 0.8× 120 0.8× 127 1.2× 17 0.3× 71 722
Yazhu Chen China 17 299 0.9× 310 1.5× 292 2.1× 53 0.5× 33 0.5× 99 982
Žiga Špiclin Slovenia 14 259 0.8× 298 1.5× 134 0.9× 63 0.6× 15 0.2× 53 714
Md Tauhidul Islam United States 15 328 1.0× 96 0.5× 222 1.6× 115 1.1× 22 0.3× 56 656
Ahmadreza Baghaie United States 13 155 0.5× 152 0.7× 127 0.9× 17 0.2× 61 0.9× 24 511

Countries citing papers authored by Nishant Ravikumar

Since Specialization
Citations

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

Fields of papers citing papers by Nishant Ravikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishant Ravikumar

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

All Works

20 of 20 papers shown
1.
Xia, Yan, Rodrigo Bonazzola, Nishant Ravikumar, et al.. (2025). Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. Medical Image Analysis. 104. 103630–103630.
2.
Ravikumar, Nishant, et al.. (2025). A Methodological Framework for AI-Assisted Diagnosis of Ovarian Masses Using CT and MR Imaging. Journal of Personalized Medicine. 15(2). 76–76. 2 indexed citations
3.
Ravikumar, Nishant, Russell Frood, Alejandro F. Frangi, et al.. (2025). Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate. Algorithms. 18(2). 86–86.
4.
Ravikumar, Nishant, et al.. (2024). Retinal imaging for the assessment of stroke risk: a systematic review. Journal of Neurology. 271(5). 2285–2297. 7 indexed citations
5.
6.
Chen, Xiang, Yan Xia, Erica Dall’Armellina, Nishant Ravikumar, & Alejandro F. Frangi. (2024). Joint shape/texture representation learning for cardiovascular disease diagnosis from magnetic resonance imaging. PubMed. 2(1). qyae042–qyae042.
7.
Bonazzola, Rodrigo, Enzo Ferrante, Nishant Ravikumar, et al.. (2024). Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nature Machine Intelligence. 6(3). 291–306. 7 indexed citations
8.
Dou, Haoran, Seppo Virtanen, Nishant Ravikumar, & Alejandro F. Frangi. (2024). A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4750–4764. 5 indexed citations
9.
Wu, Kun-Ru, Yan Xia, Nishant Ravikumar, & Alejandro F. Frangi. (2024). Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. Biomedical Signal Processing and Control. 96. 106560–106560. 3 indexed citations
10.
Xia, Yan, Nishant Ravikumar, Toni Lassila, & Alejandro F. Frangi. (2023). Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Analysis. 87. 102814–102814. 5 indexed citations
11.
Xia, Yan, et al.. (2023). High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Computer Methods and Programs in Biomedicine. 230. 107355–107355. 14 indexed citations
12.
Wang, Yongxing, Christopher Kelly, Yan Xia, et al.. (2023). Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study. APL Bioengineering. 7(3). 36102–36102. 5 indexed citations
13.
Allen, Katrina J., et al.. (2023). Artificial intelligence in ovarian cancer histopathology: a systematic review. npj Precision Oncology. 7(1). 83–83. 33 indexed citations
14.
Ravikumar, Nishant, Irvin Teh, Jing‐Rebecca Li, et al.. (2022). Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI. Medical Image Analysis. 82. 102592–102592. 2 indexed citations
15.
Xia, Yan, Xiang Chen, Nishant Ravikumar, et al.. (2022). Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Analysis. 80. 102498–102498. 14 indexed citations
16.
Vesal, Sulaiman, et al.. (2021). Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Transactions on Medical Imaging. 40(7). 1838–1851. 34 indexed citations
17.
Xia, Yan, Nishant Ravikumar, John P. Greenwood, et al.. (2021). Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Analysis. 71. 102037–102037. 43 indexed citations
18.
Chen, Xiang, Andres Diaz‐Pinto, Nishant Ravikumar, & Alejandro F. Frangi. (2020). Deep learning in medical image registration. Research Explorer (The University of Manchester). 54 indexed citations
19.
Xia, Yan, Le Zhang, Nishant Ravikumar, et al.. (2020). Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Analysis. 67. 101812–101812. 24 indexed citations
20.
Ravikumar, Nishant, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, & Zeike A. Taylor. (2019). Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. Medical Image Analysis. 53. 47–63. 7 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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