Shonket Ray

498 total citations
14 papers, 373 citations indexed

About

Shonket Ray is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Shonket Ray has authored 14 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Artificial Intelligence. Recurrent topics in Shonket Ray's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Digital Radiography and Breast Imaging (9 papers) and AI in cancer detection (9 papers). Shonket Ray is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Digital Radiography and Breast Imaging (9 papers) and AI in cancer detection (9 papers). Shonket Ray collaborates with scholars based in United States and Australia. Shonket Ray's co-authors include John M. Boone, Nicolas D. Prionas, Karen K. Lindfors, Laurel Beckett, Shih-Ying Huang, Wayne L. Monsky, Despina Kontos, Brad M. Keller, Yuanjie Zheng and James C. Gee and has published in prestigious journals such as Radiology, Medical Physics and Arthritis Research & Therapy.

In The Last Decade

Shonket Ray

12 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shonket Ray United States	7	278	201	138	93	37	14	373
Jose R. Teruel United States	12	444 1.6×	136 0.7×	67 0.5×	49 0.5×	39 1.1×	26	526
Martijn P. A. Starmans Netherlands	12	287 1.0×	168 0.8×	59 0.4×	63 0.7×	50 1.4×	29	401
Susanne Diekmann Germany	11	294 1.1×	327 1.6×	152 1.1×	142 1.5×	55 1.5×	21	471
Raymond J. Acciavatti United States	12	437 1.6×	365 1.8×	142 1.0×	211 2.3×	19 0.5×	62	508
Olivier Alonzo‐Proulx Canada	8	247 0.9×	347 1.7×	219 1.6×	88 0.9×	111 3.0×	12	412
Murilo Falleiros Lemos Schmitt Brazil	3	359 1.3×	100 0.5×	66 0.5×	93 1.0×	48 1.3×	5	392
Bjørn Helge Østerås Norway	9	200 0.7×	250 1.2×	228 1.7×	68 0.7×	107 2.9×	14	356
Chris Peressotti Canada	8	270 1.0×	382 1.9×	246 1.8×	87 0.9×	141 3.8×	10	489
Chao‐Jen Lai United States	14	396 1.4×	312 1.6×	82 0.6×	283 3.0×	24 0.6×	36	485

Countries citing papers authored by Shonket Ray

Since Specialization

Citations

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

Fields of papers citing papers by Shonket Ray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shonket Ray

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

All Works

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14 of 14 papers shown

Oakden‐Rayner, Lauren, Ranjeny Thomas, Deepti Gupta, et al.. (2025). AI automated radiographic scoring in rheumatoid arthritis: Shedding light on barriers to implementation through comprehensive evaluation. Seminars in Arthritis and Rheumatism. 74. 152761–152761.

Oakden‐Rayner, Lauren, et al.. (2024). Prognostic modeling in early rheumatoid arthritis: reconsidering the predictive role of disease activity scores. Clinical Rheumatology. 43(5). 1503–1512.

Oakden‐Rayner, Lauren, Christopher McMaster, Minyan Zeng, et al.. (2022). Artificial intelligence and the future of radiographic scoring in rheumatoid arthritis: a viewpoint. Arthritis Research & Therapy. 24(1). 268–268. 15 indexed citations

Chen, Lin, Shonket Ray, Brad M. Keller, et al.. (2016). The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006. Radiology. 280(3). 693–700. 1 indexed citations

Ray, Shonket, Lin Chen, Brad M. Keller, et al.. (2016). Association between Breast Parenchymal Complexity and False-Positive Recall From Digital Mammography Versus Breast Tomosynthesis. Academic Radiology. 23(8). 977–986. 4 indexed citations

Ray, Shonket, Brad M. Keller, Jinbo Chen, Emily F. Conant, & Despina Kontos. (2016). Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 97851Y–97851Y. 1 indexed citations

Zheng, Yuanjie, Brad M. Keller, Shonket Ray, et al.. (2015). Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment. Medical Physics. 42(7). 4149–4160. 90 indexed citations

Acciavatti, Raymond J., Shonket Ray, Brad M. Keller, Andrew D. A. Maidment, & Emily F. Conant. (2015). A comparative analysis of 2D and 3D CAD for calcifications in digital breast tomosynthesis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94140N–94140N. 1 indexed citations

Keller, Brad M., Andrew Oustimov, Yan Wang, et al.. (2015). Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices. Journal of Medical Imaging. 2(2). 24501–24501. 21 indexed citations

10.

Ray, Shonket, Jae Young Choi, Brad M. Keller, et al.. (2014). Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90351X–90351X. 2 indexed citations

11.

Ray, Shonket, Nicolas D. Prionas, Karen K. Lindfors, & John M. Boone. (2012). Analysis of breast CT lesions using computer-aided diagnosis: an application of neural networks on extracted morphologic and texture features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 83152E–83152E. 10 indexed citations

12.

Prionas, Nicolas D., Shonket Ray, & John M. Boone. (2010). Volume assessment accuracy in computed tomography: a phantom study. Journal of Applied Clinical Medical Physics. 11(2). 168–180. 48 indexed citations

13.

Prionas, Nicolas D., Karen K. Lindfors, Shonket Ray, et al.. (2010). Contrast-enhanced Dedicated Breast CT: Initial Clinical Experience. Radiology. 256(3). 714–723. 162 indexed citations

14.

Ray, Shonket, et al.. (2008). Comparison of two‐dimensional and three‐dimensional iterative watershed segmentation methods in hepatic tumor volumetrics. Medical Physics. 35(12). 5869–5881. 18 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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