Adam J. Pattison

722 total citations
19 papers, 576 citations indexed

About

Adam J. Pattison is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Adam J. Pattison has authored 19 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Adam J. Pattison's work include Ultrasound Imaging and Elastography (11 papers), Elasticity and Material Modeling (9 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). Adam J. Pattison is often cited by papers focused on Ultrasound Imaging and Elastography (11 papers), Elasticity and Material Modeling (9 papers) and Ultrasonics and Acoustic Wave Propagation (4 papers). Adam J. Pattison collaborates with scholars based in United States, New Zealand and Canada. Adam J. Pattison's co-authors include Keith D. Paulsen, John B. Weaver, Matthew McGarry, Elijah E. W. Van Houten, Irina M. Perreard, S. Scott Lollis, Timothy D. Solberg, Sue S. Yom, Gilmer Valdés and Colin M. Carpenter and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Adam J. Pattison

19 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam J. Pattison United States 12 407 337 70 60 50 19 576
Lee Chin Canada 16 304 0.7× 300 0.9× 71 1.0× 29 0.5× 81 1.6× 50 618
Roberto Maass‐Moreno United States 17 643 1.6× 617 1.8× 119 1.7× 80 1.3× 59 1.2× 42 1.1k
Yogesh K. Mariappan United States 15 633 1.6× 506 1.5× 70 1.0× 120 2.0× 15 0.3× 19 987
Matthew Fronheiser United States 12 482 1.2× 520 1.5× 105 1.5× 187 3.1× 10 0.2× 29 754
Sujin Kim South Korea 16 192 0.5× 145 0.4× 82 1.2× 7 0.1× 33 0.7× 55 718
W. Apoutou N’Djin France 17 425 1.0× 558 1.7× 75 1.1× 81 1.4× 91 1.8× 53 716
Steven C. Gebhart United States 9 353 0.9× 328 1.0× 72 1.0× 45 0.8× 6 0.1× 16 572
Wilko Wilkening Germany 16 368 0.9× 465 1.4× 50 0.7× 54 0.9× 6 0.1× 46 609
F. Gorry France 10 304 0.7× 455 1.4× 240 3.4× 26 0.4× 59 1.2× 18 697
K. Sunshine Osterman United States 10 385 0.9× 458 1.4× 56 0.8× 36 0.6× 33 0.7× 22 624

Countries citing papers authored by Adam J. Pattison

Since Specialization
Citations

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

Fields of papers citing papers by Adam J. Pattison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam J. Pattison

This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Pattison. A scholar is included among the top collaborators of Adam J. Pattison 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 Adam J. Pattison. Adam J. Pattison 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.
Chan, Jason W., Colin M. Carpenter, Adam J. Pattison, et al.. (2021). Artificial Intelligence-Guided Prediction of Dental Doses Before Planning of Radiation Therapy for Oropharyngeal Cancer: Technical Development and Initial Feasibility of Implementation. Advances in Radiation Oncology. 7(2). 100886–100886. 11 indexed citations
2.
Ziemer, Benjamin, et al.. (2020). Predicting Dental Dosimetry with Diagnostic Imaging Using a Machine Learning-Based Clinical Decision Support System. International Journal of Radiation Oncology*Biology*Physics. 108(2). E4–E4. 1 indexed citations
3.
Chan, Jason W., et al.. (2019). Predictive Dosimetry Using Machine Learning to Guide Dental Management and Extractions Prior to Head and Neck Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 105(1). E779–E780. 1 indexed citations
4.
Chan, Jason W., Jamie Chen, Gilmer Valdés, et al.. (2018). The Impact of Dataset Size on an Artificial Intelligence-Guided Clinical Decision Support System for Radiation Therapy Planning. International Journal of Radiation Oncology*Biology*Physics. 102(3). e535–e535. 1 indexed citations
5.
Valdés-Vela, Mercedes, et al.. (2017). OC-0253: Machine Learning-Based Enables Data-driven Radiotherapy Treatment Planning Decision Support. Radiotherapy and Oncology. 123. S127–S128. 3 indexed citations
6.
Valdés, Gilmer, Charles B. Simone, Josephine Chen, et al.. (2017). Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making. Radiotherapy and Oncology. 125(3). 392–397. 82 indexed citations
7.
Ogrinc, Greg, Emily Cohen, Robertus van Aalst, et al.. (2016). Clinical and Educational Outcomes of an Integrated Inpatient Quality Improvement Curriculum for Internal Medicine Residents. Journal of Graduate Medical Education. 8(4). 563–568. 21 indexed citations
8.
McGarry, Matthew, Curtis L. Johnson, Bradley P. Sutton, et al.. (2015). Suitability of poroelastic and viscoelastic mechanical models for high and low frequency MR elastography. Medical Physics. 42(2). 947–957. 67 indexed citations
9.
Pattison, Adam J., Matthew McGarry, John B. Weaver, & Keith D. Paulsen. (2014). Spatially-Resolved Hydraulic Conductivity Estimation Via Poroelastic Magnetic Resonance Elastography. IEEE Transactions on Medical Imaging. 33(6). 1373–1380. 22 indexed citations
10.
Pattison, Adam J., Matthew McGarry, John B. Weaver, & Keith D. Paulsen. (2014). A Dynamic Mechanical Analysis Technique for Porous Media. IEEE Transactions on Biomedical Engineering. 62(2). 443–449. 10 indexed citations
11.
Kashif, Amer Sohail, Thomas Lotz, Matthew McGarry, Adam J. Pattison, & J. Geoffrey Chase. (2013). Silicone breast phantoms for elastographic imaging evaluation. Medical Physics. 40(6Part1). 63503–63503. 26 indexed citations
12.
Pattison, Adam J., Matthew McGarry, John B. Weaver, & Keith D. Paulsen. (2013). Development of a poroelastic dynamic mechanical analysis technique for biphasic media. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8672. 86721P–86721P. 2 indexed citations
13.
Weaver, John B., Adam J. Pattison, Matthew McGarry, et al.. (2012). Brain mechanical property measurement using MRE with intrinsic activation. Physics in Medicine and Biology. 57(22). 7275–7287. 79 indexed citations
14.
McGarry, Matthew, et al.. (2011). An octahedral shear strain-based measure of SNR for 3D MR elastography. Physics in Medicine and Biology. 56(13). N153–N164. 126 indexed citations
15.
Pattison, Adam J., et al.. (2010). Contrast detection in fluid‐saturated media with magnetic resonance poroelastography. Medical Physics. 37(7Part1). 3518–3526. 27 indexed citations
16.
Perreard, Irina M., Adam J. Pattison, Marvin M. Doyley, et al.. (2010). Effects of frequency- and direction-dependent elastic materials on linearly elastic MRE image reconstructions. Physics in Medicine and Biology. 55(22). 6801–6815. 18 indexed citations
17.
Pattison, Adam J., S. Scott Lollis, Irina M. Perreard, et al.. (2010). Time-harmonic magnetic resonance elastography of the normal feline brain. Journal of Biomechanics. 43(14). 2747–2752. 29 indexed citations
18.
Pattison, Adam J., et al.. (2009). MR elastography of hydrocephalus. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7262. 72620A–72620A. 3 indexed citations
19.
Harris, Adrian L., Huatang Zhang, Amir Moghaddam, et al.. (1996). Breast cancer angiogenesis — new approaches to therapy via antiangiogenesis, hypoxic activated drugs, and vascular targeting. Breast Cancer Research and Treatment. 38(1). 97–108. 47 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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