Joshua Warner

7.2k total citations · 1 hit paper
16 papers, 4.1k citations indexed

About

Joshua Warner is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Joshua Warner has authored 16 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Joshua Warner's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Pediatric Urology and Nephrology Studies (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). Joshua Warner is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Pediatric Urology and Nephrology Studies (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). Joshua Warner collaborates with scholars based in United States, Czechia and South Africa. Joshua Warner's co-authors include Stéfan van der Walt, Tony Yu, Juan Nunez-Iglesias, Emmanuelle Gouillart, Johannes L. Schönberger, François Boulogne, Neil Yager, Panagiotis Korfiatis, Timothy L. Kline and Bradley J. Erickson and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and American Journal of Roentgenology.

In The Last Decade

Joshua Warner

14 papers receiving 4.0k 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.

scikit-image: image processing in Python

2014 3.9k citations Stéfan van der Walt, Johannes L. Schönberger et al. PeerJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua Warner United States	10	634	539	522	500	385	16	4.1k
Neil Yager United States	4	617 1.0×	528 1.0×	420 0.8×	487 1.0×	370 1.0×	17	4.0k
Emmanuelle Gouillart France	14	629 1.0×	557 1.0×	496 1.0×	651 1.3×	376 1.0×	40	4.8k
Juan Nunez-Iglesias United States	13	1.0k 1.6×	575 1.1×	445 0.9×	505 1.0×	390 1.0×	26	4.7k
François Boulogne France	16	617 1.0×	533 1.0×	417 0.8×	792 1.6×	370 1.0×	45	4.9k
Tony Yu United States	28	808 1.3×	532 1.0×	506 1.0×	1.2k 2.4×	398 1.0×	95	7.2k
Johannes L. Schönberger United States	14	647 1.0×	3.9k 7.3×	463 0.9×	571 1.1×	541 1.4×	25	8.4k
Hannu Huhdanpaa United States	8	353 0.6×	896 1.7×	206 0.4×	367 0.7×	348 0.9×	10	4.0k
Alfons G. Hoekstra Netherlands	41	711 1.1×	225 0.4×	305 0.6×	1.5k 3.0×	100 0.3×	213	6.1k
Richard Gordon Canada	38	1.1k 1.7×	815 1.5×	2.0k 3.9×	1.9k 3.8×	306 0.8×	214	7.5k
Adrian Baddeley Australia	34	687 1.1×	433 0.8×	160 0.3×	149 0.3×	859 2.2×	135	8.9k

Countries citing papers authored by Joshua Warner

Since Specialization

Citations

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

Fields of papers citing papers by Joshua Warner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Warner

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Bradshaw, Tyler, et al.. (2025). Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians. Journal of Nuclear Medicine. 66(2). 173–182. 9 indexed citations

Warner, Joshua, Robert P. Hartman, Daniel J. Blezek, & John V. Thomas. (2025). Abdominal and Pelvic MRI Protocol Prediction Using Natural Language Processing. Journal of Imaging Informatics in Medicine. 38(5). 3386–3395. 1 indexed citations

Merkow, Jameson, Noel Codella, Alberto Santamaría-Pang, et al.. (2025). From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification. Journal of Imaging Informatics in Medicine.

Warner, Joshua, Glen M. Blake, John W. Garrett, et al.. (2024). Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndrome. Scientific Reports. 14(1). 21875–21875. 2 indexed citations

Lee, Matthew H., et al.. (2024). Intrapatient Changes in CT-Based Body Composition After Initiation of Semaglutide (Glucagon-Like Peptide-1 Receptor Agonist) Therapy. American Journal of Roentgenology. 223(6). e2431805–e2431805. 11 indexed citations

Wright, Darryl, Adriana Gregory, Joshua Warner, et al.. (2022). A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions. Gynecologic Oncology. 166(3). 596–605. 43 indexed citations

Warner, Joshua, et al.. (2020). Unenhanced MRI of the Abdomen and Pelvis in the Comprehensive Evaluation of Acute Atraumatic Abdominal Pain in Children. American Journal of Roentgenology. 215(5). 1218–1228. 9 indexed citations

Lines, Amanda M., Joshua Warner, William R. Heineman, Sue B. Clark, & Samuel A. Bryan. (2018). Spectroelectrochemical Sensor for Spectroscopically Hard‐to‐detect Metals by in situ Formation of a Luminescent Complex Using Ru(II) as a Model Compound. Electroanalysis. 30(11). 2644–2652. 3 indexed citations

Benson, Bridget, et al.. (2017). BudgetROV: An ultra low cost robotics platform for education and research. OCEANS 2017 - Aberdeen. 1–4. 3 indexed citations

10.

Akkus, Zeynettin, et al.. (2015). Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging. Cancer Imaging. 15(1). 12–12. 24 indexed citations

11.

Kline, Timothy L., Panagiotis Korfiatis, Marie E. Edwards, et al.. (2015). Automatic total kidney volume measurement on follow-up magnetic resonance images to facilitate monitoring of autosomal dominant polycystic kidney disease progression. Nephrology Dialysis Transplantation. 31(2). 241–248. 38 indexed citations

12.

Kline, Timothy L., María V. Irazabal, Behzad Ebrahimi, et al.. (2015). Utilizing magnetization transfer imaging to investigate tissue remodeling in a murine model of autosomal dominant polycystic kidney disease. Magnetic Resonance in Medicine. 75(4). 1466–1473. 32 indexed citations

13.

Warner, Joshua, María V. Irazabal, Ganapathy Krishnamurthi, et al.. (2014). Supervised Segmentation of Polycystic Kidneys: a New Application for Stereology Data. Journal of Digital Imaging. 27(4). 514–519. 10 indexed citations

14.

Wolf‐Powers, Laura, et al.. (2014). "Wage Deserts:" An Exploration of Geographically Concentrated Poverty in Philadelphia, PA Using Census LEHD Data. 2 indexed citations

15.

Walt, Stéfan van der, Johannes L. Schönberger, Juan Nunez-Iglesias, et al.. (2014). scikit-image: image processing in Python. PeerJ. 2. e453–e453. 3913 indexed citations breakdown →

16.

Szabó, Nikoletta, Daniel Hořínek, Eszter Tóth, et al.. (2013). Cortical and Subcortical Atrophy in Alzheimer Disease. Alzheimer Disease & Associated Disorders. 28(1). 65–72. 42 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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