Nathan J. Packard

1.6k total citations
37 papers, 1.3k citations indexed

About

Nathan J. Packard is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nathan J. Packard has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nathan J. Packard's work include Medical Imaging Techniques and Applications (26 papers), Advanced X-ray and CT Imaging (19 papers) and Radiation Dose and Imaging (12 papers). Nathan J. Packard is often cited by papers focused on Medical Imaging Techniques and Applications (26 papers), Advanced X-ray and CT Imaging (19 papers) and Radiation Dose and Imaging (12 papers). Nathan J. Packard collaborates with scholars based in United States, Canada and Spain. Nathan J. Packard's co-authors include John M. Boone, Kai Yang, Wojciech Zbijewski, J. Yorkston, Martin J. Yaffe, Jeffrey H. Siewerdsen, J. Webster Stayman, R. Senn, Dong Yang and John A. Carrino and has published in prestigious journals such as Radiology, The Journal of the Acoustical Society of America and Physics in Medicine and Biology.

In The Last Decade

Nathan J. Packard

34 papers receiving 1.3k citations

Peers

Nathan J. Packard

RNMI

PRM

SURGE

Baojun Li United States

Masafumi Kidoh Japan

Andreas Sauter Germany

Sergey Primakov Netherlands

Alexander L. C. Kwan United States

Anushri Parakh United States

Daniel Kolditz Germany

Peter K. Kijewski United States

Simon Lennartz Germany

Davide Fontanarosa Australia

Baojun Li United States

Nathan J. Packard

901 ×0.9

RNMI

552 ×0.8

262 ×0.5

PRM

53 ×0.3

113 ×0.7

SURGE

Citations per year, relative to Nathan J. Packard Nathan J. Packard (= 1×) peers Baojun Li

Countries citing papers authored by Nathan J. Packard

Since Specialization

Citations

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

Fields of papers citing papers by Nathan J. Packard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan J. Packard

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan J. Packard. A scholar is included among the top collaborators of Nathan J. Packard 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 Nathan J. Packard. Nathan J. Packard 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

Packard, Nathan J., et al.. (2024). Bioacoustic studies of amphibious mammals at the Cognition and Sensory Systems Laboratory. The Journal of the Acoustical Society of America. 156(4_Supplement). A61–A61.

Packard, Nathan J.. (2017). Congress and the Marine Corps: An Enduring Partnership. 8(2). 9–37.

Demehri, Shadpour, Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2015). Assessment of image quality in soft tissue and bone visualization tasks for a dedicated extremity cone-beam CT system. European Radiology. 25(6). 1742–1751. 73 indexed citations

Zbijewski, Wojciech, Alejandro Sisniega, J. Webster Stayman, et al.. (2015). Dual-energy imaging of bone marrow edema on a dedicated multi-source cone-beam CT system for the extremities. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9412. 94120V–94120V. 19 indexed citations

Zbijewski, Wojciech, Alejandro Sisniega, J. Webster Stayman, et al.. (2014). High-performance soft-tissue imaging in extremity cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 903329–903329. 8 indexed citations

Carrino, John A., Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2013). Dedicated Cone-Beam CT System for Extremity Imaging. Radiology. 270(3). 816–824. 180 indexed citations

Muhit, Abdullah Al, Masato Ogawa, Yifu Ding, et al.. (2013). Peripheral quantitative CT (pQCT) using a dedicated extremity cone-beam CT scanner. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8672. 867203–867203. 15 indexed citations

Muhit, Abdullah Al, Wojciech Zbijewski, J. Webster Stayman, et al.. (2012). WE‐G‐217BCD‐04: Diagnostic Image Quality Evaluation of a Dedicated Extremity Cone‐ Beam CT Scanner: Pre‐Clinical Studies and First Clinical Results. Medical Physics. 39(6Part28). 3973–3973. 2 indexed citations

Boone, John M., Kai Yang, Nathan J. Packard, et al.. (2011). The characterization of breast anatomical metrics using dedicated breast CT. Medical Physics. 38(4). 2180–2191. 91 indexed citations

10.

Zbijewski, Wojciech, Punit Prakash, Yifu Ding, et al.. (2011). A dedicated cone‐beam CT system for musculoskeletal extremities imaging: Design, optimization, and initial performance characterization. Medical Physics. 38(8). 4700–4713. 125 indexed citations

11.

Chaudhari, Abhijit J., S Bowen, George W. Burkett, et al.. (2010). High-resolution 18F-FDG PET with MRI for monitoring response to treatment in rheumatoid arthritis. European Journal of Nuclear Medicine and Molecular Imaging. 37(5). 1047–1047. 38 indexed citations

12.

Yang, Kai, et al.. (2010). Noise variance analysis using a flat panel x‐ray detector: A method for additive noise assessment with application to breast CT applications. Medical Physics. 37(7Part1). 3527–3537. 24 indexed citations

13.

Alonzo‐Proulx, Olivier, Nathan J. Packard, John M. Boone, et al.. (2010). Validation of a method for measuring the volumetric breast density from digital mammograms. Physics in Medicine and Biology. 55(11). 3027–3044. 41 indexed citations

14.

Boone, John M., Kai Yang, George W. Burkett, et al.. (2010). An X-ray Computed Tomography/Positron Emission Tomography System Designed Specifically for Breast Imaging. Technology in Cancer Research & Treatment. 9(1). 29–43. 15 indexed citations

15.

Wu, Yibao, S Bowen, Kai Yang, et al.. (2009). PET characteristics of a dedicated breast PET/CT scanner prototype. Physics in Medicine and Biology. 54(13). 4273–4287. 44 indexed citations

16.

Bowen, S, Yibao Wu, Abhijit J. Chaudhari, et al.. (2009). Initial Characterization of a Dedicated Breast PET/CT Scanner During Human Imaging. Journal of Nuclear Medicine. 50(9). 1401–1408. 92 indexed citations

17.

Yaffe, Martin J., John M. Boone, Nathan J. Packard, et al.. (2009). The myth of the 50‐50 breast. Medical Physics. 36(12). 5437–5443. 190 indexed citations

18.

Abbey, Craig K., et al.. (2008). Characterizing anatomical variability in breast CT images. Medical Physics. 35(10). 4685–4694. 84 indexed citations

19.

Boone, John M., et al.. (2008). The effect of skin thickness determined using breast CT on mammographic dosimetry. Medical Physics. 35(4). 1199–1206. 98 indexed citations

20.

Yang, Kai, et al.. (2008). Noise power properties of a cone‐beam CT system for breast cancer detection. Medical Physics. 35(12). 5317–5327. 51 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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