Christopher J. Roth

1.1k total citations
31 papers, 733 citations indexed

About

Christopher J. Roth is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Christopher J. Roth has authored 31 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Biomedical Engineering. Recurrent topics in Christopher J. Roth's work include Radiology practices and education (15 papers), Radiation Dose and Imaging (9 papers) and Digital Radiography and Breast Imaging (7 papers). Christopher J. Roth is often cited by papers focused on Radiology practices and education (15 papers), Radiation Dose and Imaging (9 papers) and Digital Radiography and Breast Imaging (7 papers). Christopher J. Roth collaborates with scholars based in United States, Ireland and Canada. Christopher J. Roth's co-authors include Alexander J. Towbin, Kenneth R. Persons, Elaine M. Caoili, David A. Jamadar, Rebecca S. Cornelius, Jeffrey A. Housner, Jon A. Jacobson, Elmar M. Merkle, Daniel T. Boll and Yoav Morag and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Vascular and Interventional Radiology.

In The Last Decade

Christopher J. Roth

29 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Roth United States 17 363 188 148 114 86 31 733
Falgun H. Chokshi United States 16 297 0.8× 272 1.4× 61 0.4× 84 0.7× 88 1.0× 36 778
Merel Huisman Netherlands 15 430 1.2× 276 1.5× 231 1.6× 269 2.4× 127 1.5× 36 883
Francesco Verde Italy 18 580 1.6× 211 1.1× 149 1.0× 49 0.4× 122 1.4× 50 1.1k
Nadja Kadom United States 14 443 1.2× 67 0.4× 105 0.7× 111 1.0× 92 1.1× 55 733
Arlene Sirajuddin United States 21 549 1.5× 167 0.9× 82 0.6× 65 0.6× 58 0.7× 71 1.4k
Lyndon Luk United States 16 444 1.2× 175 0.9× 76 0.5× 42 0.4× 61 0.7× 45 793
Carolin Knebel Germany 17 358 1.0× 234 1.2× 140 0.9× 52 0.5× 60 0.7× 63 875
Felix Hähn Germany 15 179 0.5× 190 1.0× 85 0.6× 81 0.7× 33 0.4× 46 696
Victorine V. Muse United States 17 500 1.4× 76 0.4× 200 1.4× 74 0.6× 55 0.6× 35 890
Dhiraj Baruah United States 15 376 1.0× 105 0.6× 316 2.1× 30 0.3× 23 0.3× 53 706

Countries citing papers authored by Christopher J. Roth

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Roth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Roth. 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 Christopher J. Roth. The network helps show where Christopher J. Roth may publish in the future.

Co-authorship network of co-authors of Christopher J. Roth

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Roth. A scholar is included among the top collaborators of Christopher J. Roth 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 Christopher J. Roth. Christopher J. Roth 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.
Wiggins, Walter F., et al.. (2025). Proof-of-Concept Prompted Large Language Model for Radiology Procedure Request Routing. Journal of Vascular and Interventional Radiology. 36(7). 1201–1207.
2.
Roth, Christopher J., Cheryl A. Petersilge, David Clunie, et al.. (2024). HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions. Journal of Imaging Informatics in Medicine. 37(2). 429–443.
3.
Daye, Dania, Walter F. Wiggins, Matthew P. Lungren, et al.. (2022). Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?. Radiology. 305(3). 555–563. 70 indexed citations
4.
Roth, Christopher J., et al.. (2022). How Image Exchange Breaks Down: the Image Library Perspective. Journal of Digital Imaging. 35(4). 785–795. 1 indexed citations
5.
Batlle, Juan, Keith J. Dreyer, Bibb Allen, et al.. (2021). Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization. Journal of the American College of Radiology. 18(12). 1646–1654. 18 indexed citations
6.
Schwartz, Fides R., et al.. (2021). Electronic Health Record Closed-Loop Communication Program for Unexpected Nonemergent Findings. Radiology. 301(1). 123–130. 7 indexed citations
7.
Juluru, Krishna, Krishna Nand Keshava Murthy, Pierre Elnajjar, et al.. (2021). Integrating Al Algorithms into the Clinical Workflow. Radiology Artificial Intelligence. 3(6). e210013–e210013. 51 indexed citations
8.
Towbin, Alexander J., et al.. (2021). The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper. Journal of Digital Imaging. 34(1). 1–15. 15 indexed citations
9.
Halpern, David J., et al.. (2021). Implementation of a Radiology Utilization Dashboard Yields Significant Cost Savings in a Large Primary Care Network. Journal of the American College of Radiology. 18(7). 947–950. 2 indexed citations
10.
Wildman‐Tobriner, Benjamin, et al.. (2019). Moving Radiology Workflow to the Electronic Health Record: Quantitative and Qualitative Experience From a Large Academic Medical Center. Academic Radiology. 27(2). 253–259. 5 indexed citations
11.
Aulino, Joseph M., Kevin L. Berger, Joshua Broder, et al.. (2016). ACR Appropriateness Criteria Head Trauma. Journal of the American College of Radiology. 13(6). 668–679. 73 indexed citations
12.
Roth, Christopher J., et al.. (2016). The Current State and Path Forward For Enterprise Image Viewing: HIMSS-SIIM Collaborative White Paper. Journal of Digital Imaging. 29(5). 567–573. 13 indexed citations
13.
Roth, Christopher J., et al.. (2016). A Foundation for Enterprise Imaging: HIMSS-SIIM Collaborative White Paper. Journal of Digital Imaging. 29(5). 530–538. 30 indexed citations
14.
Patel, Bhavik N., et al.. (2016). Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow. Journal of the American College of Radiology. 14(1). 57–64. 9 indexed citations
16.
Roth, Christopher J., Peter D. Angevine, Joseph M. Aulino, et al.. (2015). ACR Appropriateness Criteria Myelopathy. Journal of the American College of Radiology. 13(1). 38–44. 15 indexed citations
17.
Moriarty, John M., Dennis F. Bandyk, Daniel F. Broderick, et al.. (2015). ACR Appropriateness Criteria Imaging in the Diagnosis of Thoracic Outlet Syndrome. Journal of the American College of Radiology. 12(5). 438–443. 29 indexed citations
18.
Cornelius, Rebecca S., Jamie Martin, Franz J. Wippold, et al.. (2013). ACR Appropriateness Criteria Sinonasal Disease. Journal of the American College of Radiology. 10(4). 241–246. 39 indexed citations
19.
Larson, Paul A., et al.. (2011). Getting the Most Out of RADPEER™. Journal of the American College of Radiology. 8(8). 543–548. 23 indexed citations
20.
Roth, Christopher J., et al.. (2009). Implementation of Graphic User Interface Screen Capture Solution for Workflow Assessment of Abdominal MR Examinations. Academic Radiology. 16(10). 1286–1291. 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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