Andriy Fedorov

22.6k total citations · 3 hit papers
94 papers, 12.0k citations indexed

About

Andriy Fedorov is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andriy Fedorov has authored 94 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Pulmonary and Respiratory Medicine and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andriy Fedorov's work include Radiomics and Machine Learning in Medical Imaging (33 papers), Prostate Cancer Diagnosis and Treatment (33 papers) and MRI in cancer diagnosis (24 papers). Andriy Fedorov is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (33 papers), Prostate Cancer Diagnosis and Treatment (33 papers) and MRI in cancer diagnosis (24 papers). Andriy Fedorov collaborates with scholars based in United States, Germany and Canada. Andriy Fedorov's co-authors include Steve Pieper, Jean‐Christophe Fillion‐Robin, Ron Kikinis, Hugo J.W.L. Aerts, Ahmed Hosny, Regina G. H. Beets‐Tan, Nicole Aucoin, Chintan Parmar, Vivek Narayan and Joost J. M. van Griethuysen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Andriy Fedorov

91 papers receiving 11.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

3D Slicer as an image computing platform for the Quantitative Imaging Network

2012 5.8k citations Andriy Fedorov, Reinhard Beichel et al. Magnetic Resonance Imaging profile →
Computational Radiomics System to Decode the Radiographic Phenotype

2017 4.2k citations Joost J. M. van Griethuysen, Andriy Fedorov et al. Cancer Research profile →
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

2023 235 citations Burak Koçak, Bettina Baeßler et al. Insights into Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andriy Fedorov United States	26	7.5k	3.3k	3.0k	1.7k	1.0k	94	12.0k
Steve Pieper United States	28	7.1k 1.0×	2.7k 0.8×	3.1k 1.0×	2.0k 1.1×	988 1.0×	74	12.5k
Jean‐Christophe Fillion‐Robin United States	8	6.2k 0.8×	2.5k 0.8×	2.6k 0.9×	1.6k 0.9×	815 0.8×	14	10.1k
Jayashree Kalpathy–Cramer United States	41	6.0k 0.8×	2.2k 0.7×	2.2k 0.7×	1.6k 0.9×	1.5k 1.5×	237	12.0k
Kaori Togashi Japan	68	7.8k 1.0×	2.8k 0.8×	1.8k 0.6×	3.2k 1.8×	1.1k 1.1×	561	20.1k
Ahmed Hosny United States	21	7.4k 1.0×	2.8k 0.8×	2.3k 0.8×	780 0.4×	2.2k 2.1×	50	10.1k
Stephen Aylward United States	32	4.0k 0.5×	1.8k 0.5×	2.3k 0.8×	1.5k 0.9×	622 0.6×	121	9.5k
Bradley J. Erickson United States	49	4.5k 0.6×	1.5k 0.4×	1.4k 0.5×	895 0.5×	1.8k 1.7×	280	10.4k
Simon K. Warfield United States	68	7.8k 1.0×	3.7k 1.1×	2.4k 0.8×	1.3k 0.8×	1.6k 1.5×	449	21.5k
Paul A. Yushkevich United States	45	7.9k 1.1×	1.5k 0.5×	1.9k 0.6×	1.4k 0.8×	923 0.9×	218	18.2k
Clare M. Tempany United States	59	8.0k 1.1×	8.1k 2.5×	4.2k 1.4×	2.7k 1.6×	1.1k 1.0×	273	18.7k

Countries citing papers authored by Andriy Fedorov

Since Specialization

Citations

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

Fields of papers citing papers by Andriy Fedorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andriy Fedorov

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

All Works

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20 of 20 papers shown

Türkbey, Barış, Henkjan Huisman, Andriy Fedorov, et al.. (2025). Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0. Radiology. 315(1). e240140–e240140. 1 indexed citations

Murugesan, Gowtham Krishnan, et al.. (2025). AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons. Scientific Data. 12(1). 1317–1317.

Leeman, Jonathan E., et al.. (2024). Early change in apparent diffusion coefficient as a predictor of response to neoadjuvant androgen deprivation and external beam radiation therapy for intermediate- to high-risk prostate cancer. Clinical Radiology. 79(4). e607–e615. 1 indexed citations

Murugesan, Gowtham Krishnan, Mariam Aboian, Keyvan Farahani, et al.. (2024). AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons. Scientific Data. 11(1). 1165–1165. 2 indexed citations

Koçak, Burak, Bettina Baeßler, Spyridon Bakas, et al.. (2023). CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII. Insights into Imaging. 14(1). 75–75. 235 indexed citations breakdown →

Dickie, Ben, Laura C. Bell, David L. Buckley, et al.. (2023). A community‐endorsed open‐source lexicon for contrast agent–based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI). Magnetic Resonance in Medicine. 91(5). 1761–1773. 6 indexed citations

Chrisochoides, Nikos, Yixun Liu, Olivier Clatz, et al.. (2023). Comparison of physics-based deformable registration methods for image-guided neurosurgery. Frontiers in Digital Health. 5. 1283726–1283726. 3 indexed citations

Bridge, Christopher P., Steven C. Pieper, Jochen K. Lennerz, et al.. (2022). Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. Journal of Digital Imaging. 35(6). 1719–1737. 9 indexed citations

Fedorov, Andriy, David Clunie, Mathias Brochhausen, et al.. (2020). DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Medical Physics. 47(11). 5953–5965. 11 indexed citations

10.

Fennessy, Fiona M., Andriy Fedorov, Márk Vangel, et al.. (2019). Multiparametric MRI as a Biomarker of Response to Neoadjuvant Therapy for Localized Prostate Cancer–A Pilot Study. Academic Radiology. 27(10). 1432–1439. 11 indexed citations

11.

Mehrtash, Alireza, Mohsen Ghafoorian, Alireza Ziaei, et al.. (2018). Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Transactions on Medical Imaging. 38(4). 1026–1036. 44 indexed citations

12.

Fillion‐Robin, Jean‐Christophe, Michael D. Onken, Jörg Riesmeier, et al.. (2017). dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM. Cancer Research. 77(21). e87–e90. 28 indexed citations

13.

Griethuysen, Joost J. M. van, Andriy Fedorov, Chintan Parmar, et al.. (2017). Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Research. 77(21). e104–e107. 4200 indexed citations breakdown →

14.

Chennubhotla, Chakra, Andriy Fedorov, Edward D. Helton, et al.. (2017). An Assessment of Imaging Informatics for Precision Medicine in Cancer. Yearbook of Medical Informatics. 26(1). 110–119. 14 indexed citations

15.

Hassanzadeh, Elmira, Francesco Alessandrino, Olutayo I. Olubiyi, et al.. (2017). Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer. Abdominal Radiology. 43(5). 1237–1244. 7 indexed citations

16.

Fennessy, Fiona M., Andriy Fedorov, Tobias Penzkofer, et al.. (2015). Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validation. Magnetic Resonance Imaging. 33(7). 886–894. 22 indexed citations

17.

Fedorov, Andriy, Sang‐Eun Song, Tina Kapur, et al.. (2014). Prototype Design and Phantom Evaluation of a Device for Co-registered MRI/TRUS Imaging of the Prostate. Lecture notes in computer science. 8361. 125–133. 1 indexed citations

18.

Fedorov, Andriy, Reinhard Beichel, Jayashree Kalpathy–Cramer, et al.. (2012). 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 30(9). 1323–1341. 5750 indexed citations breakdown →

19.

Tokuda, Junichi, Kemal Tuncali, Iulian Iordachita, et al.. (2012). In-bore setup and software for 3T MRI-guided transperineal prostate biopsy. Physics in Medicine and Biology. 57(18). 5823–5840. 42 indexed citations

20.

Fedorov, Andriy & Nikos Chrisochoides. (2004). Communication support for dynamic load balancing of irregular adaptive applications. Proceedings of the International Conference on Parallel Processing. 555–562. 3 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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