Michael Geagan

654 total citations
23 papers, 393 citations indexed

About

Michael Geagan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Michael Geagan has authored 23 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Biomedical Engineering and 12 papers in Radiation. Recurrent topics in Michael Geagan's work include Medical Imaging Techniques and Applications (20 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Michael Geagan is often cited by papers focused on Medical Imaging Techniques and Applications (20 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Michael Geagan collaborates with scholars based in United States, Germany and Thailand. Michael Geagan's co-authors include G. Muehllehner, Joel S. Karp, R. Freifelder, Varsha Viswanath, Margaret E. Daube-Witherspoon, M. Parma, Matthew E. Werner, Jeffrey P. Schmall, Amy E. Perkins and Austin R. Pantel and has published in prestigious journals such as Scientific Reports, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Michael Geagan

23 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Geagan United States 8 353 211 147 41 41 23 393
M. Parma United States 7 374 1.1× 177 0.8× 120 0.8× 46 1.1× 37 0.9× 12 406
Edwin K. Leung United States 5 314 0.9× 129 0.6× 118 0.8× 46 1.1× 34 0.8× 13 352
E. Vicente Spain 10 424 1.2× 277 1.3× 108 0.7× 71 1.7× 48 1.2× 37 482
Ekaterina Mikhaylova Spain 9 313 0.9× 240 1.1× 126 0.9× 33 0.8× 86 2.1× 17 364
Markus Fürstner Switzerland 6 244 0.7× 113 0.5× 101 0.7× 51 1.2× 20 0.5× 15 297
L. G. Shao United States 9 295 0.8× 139 0.7× 145 1.0× 18 0.4× 24 0.6× 35 338
Andriy Andreyev United States 10 288 0.8× 208 1.0× 121 0.8× 59 1.4× 14 0.3× 39 371
William L. Greenberg United States 5 366 1.0× 163 0.8× 136 0.9× 25 0.6× 59 1.4× 7 431
C. Eustance United Kingdom 5 247 0.7× 124 0.6× 79 0.5× 51 1.2× 16 0.4× 8 317
Navid Zeraatkar United States 12 347 1.0× 196 0.9× 88 0.6× 31 0.8× 39 1.0× 56 395

Countries citing papers authored by Michael Geagan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Geagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Geagan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Geagan. A scholar is included among the top collaborators of Michael Geagan 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 Michael Geagan. Michael Geagan 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.
Im, Joohee, Amy E. Perkins, Kai Mei, et al.. (2025). PixelPrint4D: A 3D Printing Method of Fabricating Patient-Specific Deformable CT Phantoms for Respiratory Motion Applications. Investigative Radiology. 60(10). 636–646. 1 indexed citations
2.
Mei, Kai, Nadav Shapira, J. Webster Stayman, et al.. (2024). 3D printed phantom with 12 000 submillimeter lesions to improve efficiency in CT detectability assessment. Medical Physics. 51(5). 3265–3274. 3 indexed citations
3.
4.
Daube-Witherspoon, Margaret E., Matthew E. Werner, M. Parma, et al.. (2023). Performance evaluation of the PennPET explorer with expanded axial coverage. Physics in Medicine and Biology. 68(9). 95007–95007. 24 indexed citations
5.
Shapira, Nadav, Kai Mei, Michael Geagan, et al.. (2023). Three-dimensional printing of patient-specific computed tomography lung phantoms: a reader study. PNAS Nexus. 2(3). pgad026–pgad026. 7 indexed citations
6.
Hsieh, Scott S., Kai Mei, Nadav Shapira, et al.. (2023). A dense search challenge phantom fabricated with pixel-based 3D printing for precise detectability assessment. PubMed. 12463. 52–52. 2 indexed citations
7.
Mei, Kai, Leonid Roshkovan, Nadav Shapira, et al.. (2023). PixelPrint: a collection of three-dimensional printed CT phantoms of different respiratory diseases. PubMed. 12463. 3 indexed citations
8.
Mei, Kai, Michael Geagan, Nadav Shapira, et al.. (2023). Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging. Scientific Reports. 13(1). 17495–17495. 7 indexed citations
9.
Shapira, Nadav, Kai Mei, Michael Geagan, et al.. (2022). PixelPrint: three-dimensional printing of realistic patient-specific lung phantoms for CT imaging. PubMed. 12031. 31–31. 10 indexed citations
10.
Mei, Kai, Michael Geagan, Nadav Shapira, et al.. (2022). PixelPrint: three-dimensional printing of patient-specific soft tissue and bone phantoms for CT. PubMed. 12304. 5 indexed citations
11.
Karp, Joel S., Varsha Viswanath, Michael Geagan, et al.. (2019). PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager. Journal of Nuclear Medicine. 61(1). 136–143. 136 indexed citations
12.
Karp, Joel S., Jeffrey P. Schmall, Michael Geagan, et al.. (2018). Imaging Performance of the PennPET Explorer scanner. 59. 222–222. 7 indexed citations
13.
Schmall, Jeffrey P., Michael Geagan, Matthew E. Werner, et al.. (2018). Characterizing the TOF performance of the PennPET Explorer scanner. 59. 96–96. 1 indexed citations
14.
Viswanath, Varsha, Margaret E. Daube-Witherspoon, Jeffrey P. Schmall, et al.. (2017). Development of PET for Total-body Imaging. Acta Physica Polonica B. 48(10). 1555–1555. 17 indexed citations
15.
Vaska, P., et al.. (2003). A collimator-less technique for spatial non-linearity correction of PET detectors. 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019). 2. 925–928. 3 indexed citations
16.
Hines, H., et al.. (2002). Performance characteristics of a dual head SPECT scanner with PET capability. 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record. 3. 1751–1755. 21 indexed citations
17.
Karp, Joel S., R. Freifelder, Paul E. Kinahan, et al.. (2002). Evaluation of volume imaging with the HEAD PENN-PET scanner. 4. 1877–1881. 5 indexed citations
18.
Smith, Robin J., Joel S. Karp, François Bénard, et al.. (1998). A comparison of segmentation and emission subtraction for singles transmission in PET. IEEE Transactions on Nuclear Science. 45(3). 1212–1218. 23 indexed citations
19.
Karp, Joel S., R. Freifelder, Michael Geagan, et al.. (1997). Three-dimensional imaging characteristics of the HEAD PENN-PET scanner.. PubMed. 38(4). 636–43. 57 indexed citations
20.
Freifelder, R., Joel S. Karp, Michael Geagan, & G. Muehllehner. (1994). Design and performance of HEAD PENN-PET scanner. IEEE Transactions on Nuclear Science. 5 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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