Lindsey Olsen

896 total citations
18 papers, 707 citations indexed

About

Lindsey Olsen is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lindsey Olsen has authored 18 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiation, 14 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lindsey Olsen's work include Advanced Radiotherapy Techniques (17 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Lindsey Olsen is often cited by papers focused on Advanced Radiotherapy Techniques (17 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Lindsey Olsen collaborates with scholars based in United States and Canada. Lindsey Olsen's co-authors include Sasa Mutic, Jun Tan, Jeff M. Michalski, Clifford G. Robinson, Deshan Yang, Kevin L. Moore, Satomi Shiraishi, Vivian Rodriguez, Parag J. Parikh and Rojano Kashani and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

Lindsey Olsen

17 papers receiving 699 citations

Peers

Lindsey Olsen
C. South United Kingdom
A. Delaney Netherlands
Jim P. Tol Netherlands
Bin Cai United States
L. Yuan United States
Dong Joo Rhee United States
Lindsey Olsen
Citations per year, relative to Lindsey Olsen Lindsey Olsen (= 1×) peers Sebastian Klüter

Countries citing papers authored by Lindsey Olsen

Since Specialization
Citations

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

Fields of papers citing papers by Lindsey Olsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindsey Olsen

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

All Works

18 of 18 papers shown
1.
Lin, Mu‐Han, Lindsey Olsen, James Kavanaugh, et al.. (2024). Ensuring High Quality Treatment Plans with a Plan Quality Review Checklist. Practical Radiation Oncology. 15(1). e82–e87.
2.
Faught, Austin M., Lindsey Olsen, Leah Schubert, et al.. (2018). Functional-guided radiotherapy using knowledge-based planning. Radiotherapy and Oncology. 129(3). 494–498. 28 indexed citations
3.
Kavanaugh, James, T.A. DeWees, Clifford G. Robinson, et al.. (2018). Multi-Institutional Validation of a Knowledge-Based Planning Model for Patients Enrolled in RTOG 0617: Implications for Plan Quality Controls in Cooperative Group Trials. Practical Radiation Oncology. 9(2). e218–e227. 25 indexed citations
4.
Olsen, Jeffrey R., et al.. (2018). Patient Reported Outcomes From a Prospective Risk-Adapted Breast IORT Registry Trial. International Journal of Radiation Oncology*Biology*Physics. 102(3). e591–e592. 3 indexed citations
5.
Goddu, Sreekrishna, Sridhar Yaddanapudi, Lindsey Olsen, et al.. (2017). FMEA of manual and automated methods for commissioning a radiotherapy treatment planning system. Medical Physics. 44(9). 4415–4425. 20 indexed citations
6.
Olsen, Lindsey, et al.. (2017). Using Machine Learning to Predict Physician-Approved Dose Distributions for Pancreatic SBRT. International Journal of Radiation Oncology*Biology*Physics. 99(2). S174–S174. 2 indexed citations
7.
Henke, Lauren E., Rojano Kashani, Deshan Yang, et al.. (2016). Simulated Online Adaptive Magnetic Resonance–Guided Stereotactic Body Radiation Therapy for the Treatment of Oligometastatic Disease of the Abdomen and Central Thorax: Characterization of Potential Advantages. International Journal of Radiation Oncology*Biology*Physics. 96(5). 1078–1086. 107 indexed citations
8.
Henke, Lauren E., Jeffrey R. Olsen, Deshan Yang, et al.. (2016). Online Adaptive Magnetic Resonance–Guided (OAMR)-Stereotactic Body Radiation Therapy for Abdominal Malignancies: Prospective Dosimetric Results from a Phase 1 Trial. International Journal of Radiation Oncology*Biology*Physics. 96(2). S222–S223. 1 indexed citations
9.
Henke, Lauren E., Rojano Kashani, Deshan Yang, et al.. (2016). Adaptive MR-Guided Stereotactic Body Radiation Therapy (AMR-SBRT) for Oligometastatic or Unresectable Primary Abdominal Malignancies: Results of a Prospective Phase I Trial. International Journal of Radiation Oncology*Biology*Physics. 96(2). E205–E206. 5 indexed citations
10.
Moore, Kevin L., Vitali Moiseenko, Lindsey Olsen, et al.. (2015). Quantifying Unnecessary Normal Tissue Complication Risks due to Suboptimal Planning: A Secondary Study of RTOG 0126. International Journal of Radiation Oncology*Biology*Physics. 92(2). 228–235. 111 indexed citations
11.
Acharya, Sahaja, Benjamin W. Fischer‐Valuck, Rojano Kashani, et al.. (2015). Online Magnetic Resonance Image Guided Adaptive Radiation Therapy: First Clinical Applications. International Journal of Radiation Oncology*Biology*Physics. 94(2). 394–403. 231 indexed citations
12.
Shiraishi, Satomi, Jun Tan, Lindsey Olsen, & Kevin L. Moore. (2015). Knowledge‐based prediction of plan quality metrics in intracranial stereotactic radiosurgery. Medical Physics. 42(2). 908–917. 93 indexed citations
13.
Kashani, Rojano, Deshan Yang, Tianyu Zhao, et al.. (2015). Commissioning and Clinical Implementation of the First Online Adaptive MR Image Guided Radiation Therapy Program. International Journal of Radiation Oncology*Biology*Physics. 93(3). S18–S19. 1 indexed citations
14.
Cui, Yunfeng, Wenzhou Chen, Feng‐Ming Kong, et al.. (2014). Contouring variations and the role of atlas in non-small cell lung cancer radiation therapy: Analysis of a multi-institutional preclinical trial planning study. Practical Radiation Oncology. 5(2). e67–e75. 34 indexed citations
15.
Moore, Kevin L., Lindsey Olsen, Jun Tan, et al.. (2014). Suboptimal Treatment Planning Adds Substantial Risk of Normal Tissue Complication: A Secondary Study on RTOG 0126. International Journal of Radiation Oncology*Biology*Physics. 90(1). S821–S821. 3 indexed citations
16.
Shiraishi, Satomi, Jun Tan, Lindsey Olsen, & Kevin L. Moore. (2014). TH-A-9A-08: Knowledge-Based Quality Control of Clinical Stereotactic Radiosurgery Treatment Plans. Medical Physics. 41(6Part32). 544–544. 1 indexed citations
17.
Olsen, Lindsey, Shahed N. Badiyan, Faris Murad, et al.. (2014). Comparison of implanted fiducial markers and self-expandable metallic stents for pancreatic image guided radiation therapy localization. Practical Radiation Oncology. 5(3). e193–e199. 6 indexed citations
18.
Olsen, Lindsey, Clifford G. Robinson, H Wooten, et al.. (2013). Automated radiation therapy treatment plan workflow using a commercial application programming interface. Practical Radiation Oncology. 4(6). 358–367. 36 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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