Rachel McCarroll

718 total citations
19 papers, 475 citations indexed

About

Rachel McCarroll is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology. According to data from OpenAlex, Rachel McCarroll has authored 19 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiation, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Otorhinolaryngology. Recurrent topics in Rachel McCarroll's work include Advanced Radiotherapy Techniques (15 papers), Head and Neck Cancer Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Rachel McCarroll is often cited by papers focused on Advanced Radiotherapy Techniques (15 papers), Head and Neck Cancer Studies (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Rachel McCarroll collaborates with scholars based in United States, Philippines and South Africa. Rachel McCarroll's co-authors include Laurence E. Court, Jinzhong Yang, Carlos Cárdenas, Beth M. Beadle, Hesham Elhalawani, Dong Joo Rhee, Adam S. Garden, Mona Kamal, Baher Elgohari and Lifei Zhang and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Rachel McCarroll

19 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel McCarroll United States 10 339 323 138 101 64 19 475
Dong Joo Rhee United States 15 467 1.4× 429 1.3× 167 1.2× 170 1.7× 65 1.0× 43 660
A. Delaney Netherlands 10 348 1.0× 537 1.7× 336 2.4× 99 1.0× 94 1.5× 15 638
J. van der Stoep Netherlands 7 451 1.3× 350 1.1× 308 2.2× 122 1.2× 24 0.4× 13 613
Anna M. Dinkla Netherlands 7 390 1.2× 363 1.1× 144 1.0× 129 1.3× 18 0.3× 13 526
Jordan Wong Canada 8 204 0.6× 184 0.6× 93 0.7× 77 0.8× 16 0.3× 19 339
Sharif Elguindi United States 8 240 0.7× 210 0.7× 99 0.7× 90 0.9× 32 0.5× 17 355
Jim P. Tol Netherlands 12 348 1.0× 610 1.9× 398 2.9× 81 0.8× 109 1.7× 18 694
Yang Sheng United States 15 333 1.0× 394 1.2× 195 1.4× 96 1.0× 37 0.6× 55 510
Guillaume Cazoulat United States 13 433 1.3× 474 1.5× 267 1.9× 144 1.4× 99 1.5× 44 651
Jianrong Dai China 11 483 1.4× 443 1.4× 241 1.7× 171 1.7× 20 0.3× 44 616

Countries citing papers authored by Rachel McCarroll

Since Specialization
Citations

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

Fields of papers citing papers by Rachel McCarroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel McCarroll

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

All Works

19 of 19 papers shown
1.
Court, Laurence E., Lifei Zhang, Hester Burger, et al.. (2021). Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant. Practical Radiation Oncology. 11(3). 177–184. 23 indexed citations
2.
McCarroll, Rachel, Mark V. Mishra, Bruce D. Greenwald, et al.. (2020). Assessing Outcomes of Patients Treated With Re-Irradiation Utilizing Proton Pencil-Beam Scanning for Primary or Recurrent Malignancies of the Esophagus and Gastroesophageal Junction. Journal of Thoracic Oncology. 15(6). 1054–1064. 11 indexed citations
3.
Cárdenas, Carlos, Beth M. Beadle, Adam S. Garden, et al.. (2020). Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach. International Journal of Radiation Oncology*Biology*Physics. 109(3). 801–812. 53 indexed citations
4.
Cárdenas, Carlos, Beth M. Beadle, Dong Joo Rhee, et al.. (2020). Delivering high-quality head-and-neck low-risk clinical target volumes through a fully-automated artificial intelligence-based approach. International Journal of Radiation Oncology*Biology*Physics. 106(5). 1122–1122. 3 indexed citations
5.
Zhang, Lifei, Hannah Simonds, Jinzhong Yang, et al.. (2019). Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics. Journal of Global Oncology. 5(5). 1–9. 42 indexed citations
6.
McCarroll, Rachel, et al.. (2019). Assessing Outcomes of Patients Treated with Re-irradiation Utilizing Proton Pencil-Beam Scanning for Primary or Recurrent Malignancies of the Esophagus and Gastroesophageal Junction. International Journal of Radiation Oncology*Biology*Physics. 105(1). E183–E183. 1 indexed citations
7.
Rhee, Dong Joo, Carlos Cárdenas, Hesham Elhalawani, et al.. (2019). Automatic detection of contouring errors using convolutional neural networks. Medical Physics. 46(11). 5086–5097. 68 indexed citations
8.
Cárdenas, Carlos, Brian Anderson, Michalis Aristophanous, et al.. (2018). Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks. Physics in Medicine and Biology. 63(21). 215026–215026. 50 indexed citations
9.
Cárdenas, Carlos, Rachel McCarroll, Laurence E. Court, et al.. (2018). Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function. International Journal of Radiation Oncology*Biology*Physics. 101(2). 468–478. 111 indexed citations
10.
11.
McCarroll, Rachel, Beth M. Beadle, Peter Balter, et al.. (2017). Reproducibility of patient setup in the seated treatment position: A novel treatment chair design. Journal of Applied Clinical Medical Physics. 18(1). 223–229. 35 indexed citations
12.
Anderson, Brian, Skylar Gay, Xenia Fave, et al.. (2017). Cost‐effective immobilization for whole brain radiation therapy. Journal of Applied Clinical Medical Physics. 18(4). 116–122. 5 indexed citations
13.
Court, Laurence E., Rachel McCarroll, Kelly Kisling, et al.. (2017). PO-0820: Full automation of radiation therapy treatment planning. Radiotherapy and Oncology. 123. S439–S440. 1 indexed citations
14.
McCarroll, Rachel, Bassem Youssef, Beth M. Beadle, et al.. (2017). Model for Estimating Power and Downtime Effects on Teletherapy Units in Low-Resource Settings. Journal of Global Oncology. 3(5). 563–571. 7 indexed citations
15.
Beadle, Beth M., Rachel McCarroll, Kelly Kisling, et al.. (2017). Development of 3D Automated Radiation Treatment Planning for Low- and Middle-Income Countries. International Journal of Radiation Oncology*Biology*Physics. 99(2). E637–E637. 1 indexed citations
16.
McCarroll, Rachel, Beth M. Beadle, Jinzhong Yang, et al.. (2016). TU‐H‐CAMPUS‐JeP1‐02: Fully Automatic Verification of Automatically Contoured Normal Tissues in the Head and Neck. Medical Physics. 43(6Part37). 3778–3778. 2 indexed citations
17.
Yang, Jinzhong, Anuja Jhingran, Peter Balter, et al.. (2016). SU‐F‐T‐423: Automating Treatment Planning for Cervical Cancer in Low‐ and Middle‐ Income Countries. Medical Physics. 43(6Part19). 3560–3560. 1 indexed citations
18.
Court, Laurence E., Rachel McCarroll, Kelly Kisling, et al.. (2016). O20. Full automation of radiation therapy treatment planning. Physica Medica. 32. 147–147. 2 indexed citations
19.
McCarroll, Rachel, et al.. (2015). 3D-Printed Small-Animal Immobilizer for Use in Preclinical Radiotherapy.. PubMed. 54(5). 545–8. 16 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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