Steve Pieper

20.3k total citations · 2 hit papers
74 papers, 12.5k citations indexed

About

Steve Pieper is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Steve Pieper has authored 74 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Computer Vision and Pattern Recognition and 18 papers in Biomedical Engineering. Recurrent topics in Steve Pieper's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Medical Imaging Techniques and Applications (11 papers). Steve Pieper is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Medical Imaging Techniques and Applications (11 papers). Steve Pieper collaborates with scholars based in United States, Germany and Canada. Steve Pieper's co-authors include Andriy Fedorov, Jean‐Christophe Fillion‐Robin, Ron Kikinis, Hugo J.W.L. Aerts, Nicole Aucoin, Chintan Parmar, Ahmed Hosny, Regina G. H. Beets‐Tan, Vivek Narayan and Joost J. M. van Griethuysen and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Steve Pieper

71 papers receiving 12.3k citations

Hit Papers

3D Slicer as an image com... 2012 2026 2016 2021 2012 2017 1000 2.0k 3.0k 4.0k 5.0k
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.

  1. 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 →
  2. Computational Radiomics System to Decode the Radiographic Phenotype
    2017 4.2k citations Joost J. M. van Griethuysen, Andriy Fedorov et al. Cancer Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steve Pieper 7.1k 3.1k 2.7k 2.0k 988 74 12.5k
Andriy Fedorov 7.5k 1.0× 3.0k 1.0× 3.3k 1.2× 1.7k 0.9× 1.0k 1.0× 94 12.0k
Jean‐Christophe Fillion‐Robin 6.2k 0.9× 2.6k 0.8× 2.5k 0.9× 1.6k 0.8× 815 0.8× 14 10.1k
Jayashree Kalpathy–Cramer 6.0k 0.8× 2.2k 0.7× 2.2k 0.8× 1.6k 0.8× 1.5k 1.5× 237 12.0k
Kaori Togashi 7.8k 1.1× 1.8k 0.6× 2.8k 1.0× 3.2k 1.6× 1.1k 1.1× 561 20.1k
Namkug Kim 4.6k 0.6× 1.9k 0.6× 2.9k 1.1× 1.3k 0.7× 1.2k 1.2× 412 10.9k
Stephen Aylward 4.0k 0.6× 2.3k 0.7× 1.8k 0.6× 1.5k 0.8× 622 0.6× 121 9.5k
Bradley J. Erickson 4.5k 0.6× 1.4k 0.4× 1.5k 0.5× 895 0.5× 1.8k 1.8× 280 10.4k
Paul A. Yushkevich 7.9k 1.1× 1.9k 0.6× 1.5k 0.6× 1.4k 0.7× 923 0.9× 218 18.2k
Simon K. Warfield 7.8k 1.1× 2.4k 0.7× 3.7k 1.4× 1.3k 0.7× 1.6k 1.6× 449 21.5k
Ahmed Hosny 7.4k 1.0× 2.3k 0.7× 2.8k 1.0× 780 0.4× 2.2k 2.2× 50 10.1k

Countries citing papers authored by Steve Pieper

Since Specialization
Citations

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

Fields of papers citing papers by Steve Pieper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Pieper

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Pieper. A scholar is included among the top collaborators of Steve Pieper 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 Steve Pieper. Steve Pieper 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.
Park, Tae‐Young, et al.. (2024). A review of algorithms and software for real-time electric field modeling techniques for transcranial magnetic stimulation. Biomedical Engineering Letters. 14(3). 393–405. 5 indexed citations
2.
Cetin‐Karayumak, Suheyla, Fan Zhang, Tashrif Billah, et al.. (2024). Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study. Scientific Data. 11(1). 249–249. 10 indexed citations
3.
4.
Juvekar, Parikshit, Reuben Dorent, Erickson Torio, et al.. (2024). ReMIND: The Brain Resection Multimodal Imaging Database. Scientific Data. 11(1). 494–494. 17 indexed citations
5.
Mehrtash, Alireza, Erik Ziegler, Bhanusupriya Somarouthu, et al.. (2023). Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision. Computerized Medical Imaging and Graphics. 111. 102312–102312. 2 indexed citations
6.
Ganglberger, Wolfgang, Haoqi Sun, Peter Hadar, et al.. (2023). Linking brain structure, cognition, and sleep: insights from clinical data. SLEEP. 47(2). 10 indexed citations
7.
Laurent, Didier, Christopher D. J. Sinclair, P Houston, et al.. (2022). Longitudinal Changes in MRI Muscle Morphometry and Composition in People With Inclusion Body Myositis. Neurology. 99(9). e865–e876. 18 indexed citations
8.
Zhang, Fan, Steve Pieper, Nikos Makris, et al.. (2022). Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 5 indexed citations
9.
Rolfe, Sara, Steve Pieper, Arthur Porto, et al.. (2021). SlicerMorph: An open and extensible platform to retrieve, visualize and analyse 3D morphology. Methods in Ecology and Evolution. 12(10). 1816–1825. 100 indexed citations
10.
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
11.
Hosny, Ahmed, Steven J. Keating, Beth Ripley, et al.. (2018). From Improved Diagnostics to Presurgical Planning: High-Resolution Functionally Graded Multimaterial 3D Printing of Biomedical Tomographic Data Sets. 3D Printing and Additive Manufacturing. 5(2). 103–113. 33 indexed citations
12.
Dumast, Priscille de, Lucía Cevidanes, Antônio Carlos de Oliveira Ruellas, et al.. (2018). A web-based system for neural network based classification in temporomandibular joint osteoarthritis. Computerized Medical Imaging and Graphics. 67. 45–54. 52 indexed citations
13.
Norton, Isaiah, Walid Ibn Essayed, Fan Zhang, et al.. (2017). SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research. Cancer Research. 77(21). e101–e103. 91 indexed citations
14.
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
15.
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 →
16.
17.
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 →
18.
Lindig, Tobias, Vinod Kumar, Ron Kikinis, et al.. (2008). Spiny versus stubby: 3D reconstruction of human myenteric (type I) neurons. Histochemistry and Cell Biology. 131(1). 1–12. 14 indexed citations
19.
Jolley, Matthew A., J.G. Stinstra, Steve Pieper, et al.. (2008). A computer modeling tool for comparing novel ICD electrode orientations in children and adults. Heart Rhythm. 5(4). 565–572. 46 indexed citations
20.
Pieper, Steve, Michael Halle, & R. Kikinis. (2004). 3D Slicer. 280 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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