Erik Pearson

441 total citations
30 papers, 331 citations indexed

About

Erik Pearson is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Erik Pearson has authored 30 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 17 papers in Radiation. Recurrent topics in Erik Pearson's work include Medical Imaging Techniques and Applications (19 papers), Advanced Radiotherapy Techniques (17 papers) and Advanced X-ray and CT Imaging (15 papers). Erik Pearson is often cited by papers focused on Medical Imaging Techniques and Applications (19 papers), Advanced Radiotherapy Techniques (17 papers) and Advanced X-ray and CT Imaging (15 papers). Erik Pearson collaborates with scholars based in United States, South Korea and Canada. Erik Pearson's co-authors include Charles A. Pelizzari, Xiaochuan Pan, Laura Padilla, Emil Y. Sidky, Xiao Han, Seungryong Cho, Ralph R. Weichselbaum, Kaiting Yang, Kaiyuan Ni and Ziwan Xu and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Behavioral and Brain Sciences and Physics in Medicine and Biology.

In The Last Decade

Erik Pearson

30 papers receiving 315 citations

Peers

Erik Pearson

RNMI

RADIA

PRM

DEP

Joël Daouk France

Vladimir Ermolayev Germany

D. McRae United States

Caroline Boudou France

Giovanni Durando Italy

Nivedh Manohar United States

Zhaoheng Xie China

M. Edouard France

Dean M. Connor United States

Jeannine Missbach‐Guentner Germany

Joël Daouk France

Erik Pearson

269 ×1.5

RNMI

133 ×0.7

122 ×1.3

RADIA

150 ×2.0

PRM

0 ×0.0

DEP

Citations per year, relative to Erik Pearson Erik Pearson (= 1×) peers Joël Daouk

Countries citing papers authored by Erik Pearson

Since Specialization

Citations

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

Fields of papers citing papers by Erik Pearson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Pearson

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

All Works

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20 of 20 papers shown

Epel, Boris, Mihai Giurcanu, Eugene D. Barth, et al.. (2023). Absolute oxygen-guided radiation therapy improves tumor control in three preclinical tumor models. Frontiers in Medicine. 10. 1269689–1269689. 10 indexed citations

Ni, Kaiyuan, Ziwan Xu, August Culbert, et al.. (2022). Synergistic checkpoint-blockade and radiotherapy–radiodynamic therapy via an immunomodulatory nanoscale metal–organic framework. Nature Biomedical Engineering. 6(2). 144–156. 87 indexed citations

Sürücü, Murat, et al.. (2022). Impact of respiratory motion on lung dose during total marrow irradiation. Frontiers in Oncology. 12. 924961–924961. 1 indexed citations

Pearson, Erik, et al.. (2022). Towards understanding the dependencies of deep learning classification of anatomical sites from CBCT x-ray projections. 126–126. 1 indexed citations

Redler, Gage, Erik Pearson, Xinmin Liu, et al.. (2020). Small Animal IMRT Using 3D-Printed Compensators. International Journal of Radiation Oncology*Biology*Physics. 110(2). 551–565. 11 indexed citations

Pearson, Erik, et al.. (2018). Collision-avoiding imaging trajectories for linac mounted cone-beam CT. Journal of X-Ray Science and Technology. 27(1). 1–16. 7 indexed citations

Zhang, Zheng, Xiao Han, Erik Pearson, et al.. (2016). Artifact reduction in short-scan CBCT by use of optimization-based reconstruction. Physics in Medicine and Biology. 61(9). 3387–3406. 39 indexed citations

Han, Xiao, Erik Pearson, Charles A. Pelizzari, et al.. (2015). Algorithm-enabled exploration of image-quality potential of cone-beam CT in image-guided radiation therapy. Physics in Medicine and Biology. 60(12). 4601–4633. 19 indexed citations

Padilla, Laura, Erik Pearson, & Charles A. Pelizzari. (2015). Collision prediction software for radiotherapy treatments. Medical Physics. 42(11). 6448–6456. 34 indexed citations

10.

Pearson, Erik, Xiaochuan Pan, & Charles A. Pelizzari. (2015). Dual-energy (MV/kV) CT with probabilistic attenuation mapping for IGRT applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9412. 94125M–94125M. 3 indexed citations

11.

Liu, Xinmin, et al.. (2014). Development of a 6DOF robotic motion phantom for radiation therapy. Medical Physics. 41(12). 121704–121704. 16 indexed citations

12.

Pearson, Erik, et al.. (2014). WE-G-BRF-07: Non-Circular Scanning Trajectories with Varian Developer Mode. Medical Physics. 41(6Part30). 523–523. 1 indexed citations

13.

Zhang, Zheng, Junguo Bian, Xiao Han, et al.. (2011). Iterative image reconstruction with variable resolution in CT. 14. 4155–4157. 2 indexed citations

14.

Pearson, Erik, Hania Al‐Hallaq, Xiaochuan Pan, & Charles A. Pelizzari. (2011). Dynamic region-of-interest cone-beam CT for image-guided postmastectomy radiotherapy. 3187–3190. 1 indexed citations

15.

Han, Xiao, Erik Pearson, Junguo Bian, et al.. (2010). Preliminary investigation of dose allocation in low-dose cone-beam CT. 14. 2051–2054. 3 indexed citations

16.

Cho, Seungryong, Erik Pearson, Charles A. Pelizzari, & Xiaochuan Pan. (2009). Region‐of‐interest image reconstruction with intensity weighting in circular cone‐beam CT for image‐guided radiation therapy. Medical Physics. 36(4). 1184–1192. 27 indexed citations

17.

Wiersma, R, et al.. (2009). Development of a Dynamic kV Collimator for Low Diagnostic Dose Real-time 3D Motion Tracking during Radiation Therapy by Combined MV-kV Imaging. International Journal of Radiation Oncology*Biology*Physics. 75(3). S582–S582. 1 indexed citations

18.

Cho, Seungryong, Erik Pearson, Emil Y. Sidky, et al.. (2009). Prior-image-based few-view cone beam CT for applications to daily scan in image-guided radiation therapy: preliminary study. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7258. 72581U–72581U. 8 indexed citations

19.

Cho, Seungryong, Erik Pearson, Charles A. Pelizzari, & Xiaochuan Pan. (2009). Noise analysis in intensity-weighted region-of-interest imaging for cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7258. 725807–725807. 1 indexed citations

20.

Hauser, Michael A., Susan Perry, Joseph H. Manson, et al.. (1991). It's all in the hands of the beholder: New data on free-ranging rhesus monkeys. Behavioral and Brain Sciences. 14(2). 342–344. 33 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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