Brian Harrawood

1.1k total citations
56 papers, 809 citations indexed

About

Brian Harrawood is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Brian Harrawood has authored 56 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Biomedical Engineering and 23 papers in Radiation. Recurrent topics in Brian Harrawood's work include Advanced X-ray and CT Imaging (27 papers), Medical Imaging Techniques and Applications (21 papers) and Nuclear Physics and Applications (20 papers). Brian Harrawood is often cited by papers focused on Advanced X-ray and CT Imaging (27 papers), Medical Imaging Techniques and Applications (21 papers) and Nuclear Physics and Applications (20 papers). Brian Harrawood collaborates with scholars based in United States, Canada and Germany. Brian Harrawood's co-authors include Georgia D. Tourassi, Anuj Kapadia, Ehsan Samei, Joseph Y. Lo, Carey E. Floyd, Ehsan Abadi, W. Paul Segars, Shobhit Sharma, Maciej A. Mazurowski and Janelle E. Bender and has published in prestigious journals such as Radiology, The American Journal of Cardiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Brian Harrawood

54 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Harrawood United States 16 519 346 215 188 181 56 809
Nico Lanconelli Italy 16 514 1.0× 244 0.7× 253 1.2× 163 0.9× 358 2.0× 61 763
Reza Reiazi Iran 13 298 0.6× 83 0.2× 43 0.2× 111 0.6× 97 0.5× 36 399
Sanjiv S. Samant United States 13 338 0.7× 138 0.4× 366 1.7× 18 0.1× 196 1.1× 33 603
Yazdan Salimi Switzerland 16 541 1.0× 282 0.8× 75 0.3× 87 0.5× 97 0.5× 69 636
Nicole T. Ranger United States 15 617 1.2× 464 1.3× 127 0.6× 112 0.6× 518 2.9× 19 792
John A. Onofrey United States 15 610 1.2× 226 0.7× 129 0.6× 104 0.6× 70 0.4× 69 880
Amirhossein Sanaat Switzerland 17 786 1.5× 356 1.0× 174 0.8× 96 0.5× 91 0.5× 57 928
Alan H. Baydush United States 12 349 0.7× 198 0.6× 98 0.5× 137 0.7× 296 1.6× 34 512
Kyle McMillan United States 14 463 0.9× 337 1.0× 121 0.6× 25 0.1× 143 0.8× 29 553
Jong Hwi Jeong South Korea 13 457 0.9× 157 0.5× 481 2.2× 42 0.2× 377 2.1× 68 722

Countries citing papers authored by Brian Harrawood

Since Specialization
Citations

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

Fields of papers citing papers by Brian Harrawood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Harrawood

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Harrawood. A scholar is included among the top collaborators of Brian Harrawood 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 Brian Harrawood. Brian Harrawood 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.
Harrawood, Brian, Mojtaba Zarei, Michael R. Harowicz, et al.. (2025). Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. Medical Image Analysis. 103. 103576–103576. 2 indexed citations
2.
Lyu, Peijie, Nana Liu, Brian Harrawood, et al.. (2022). Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?. European Radiology. 33(3). 1629–1640. 25 indexed citations
3.
Abadi, Ehsan, et al.. (2022). Development and clinical applications of a virtual imaging framework for optimizing photon-counting CT. PubMed. 12031. 60–60. 12 indexed citations
4.
Abadi, Ehsan, Brian Harrawood, Shobhit Sharma, et al.. (2019). Development of a scanner-specific simulation framework for photon-counting computed tomography. Biomedical Physics & Engineering Express. 5(5). 55008–55008. 30 indexed citations
5.
6.
Abadi, Ehsan, Brian Harrawood, Shobhit Sharma, et al.. (2018). DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography. IEEE Transactions on Medical Imaging. 38(6). 1457–1465. 75 indexed citations
7.
Lakshmanan, Manu N., Brian Harrawood, Ehsan Samei, & Anuj Kapadia. (2015). Volumetric x-ray coherent scatter imaging of cancer in resected breast tissue: a Monte Carlo study using virtual anthropomorphic phantoms. Physics in Medicine and Biology. 60(16). 6355–6370. 15 indexed citations
8.
Rubin, Geoffrey D., Justus E. Roos, Martin Täll, et al.. (2014). Characterizing Search, Recognition, and Decision in the Detection of Lung Nodules on CT Scans: Elucidation with Eye Tracking. Radiology. 274(1). 276–286. 70 indexed citations
9.
Mazurowski, Maciej A., Joseph Y. Lo, Brian Harrawood, & Georgia D. Tourassi. (2011). Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. Journal of Biomedical Informatics. 44(5). 815–823. 48 indexed citations
10.
11.
Tourassi, Georgia D., et al.. (2008). Evaluating the Effect of Image Preprocessing on an Information-Theoretic CAD System in Mammography. Academic Radiology. 15(5). 626–634. 15 indexed citations
12.
Harrawood, Brian, et al.. (2008). Effect of ROI size on the performance of an information-theoretic CAD system in mammography: multi-size fusion analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6915. 691527–691527. 3 indexed citations
13.
Tourassi, Georgia D., et al.. (2007). Information‐theoretic CAD system in mammography: Entropy‐based indexing for computational efficiency and robust performance. Medical Physics. 34(8). 3193–3204. 29 indexed citations
14.
Harrawood, Brian, et al.. (2007). Neutron stimulated emission computed tomography: a Monte Carlo simulation approach. Physics in Medicine and Biology. 52(20). 6117–6131. 14 indexed citations
15.
Bender, Janelle E., et al.. (2007). Breast cancer detection using neutron stimulated emission computed tomography: Prominent elements and dose requirements. Medical Physics. 34(10). 3866–3871. 15 indexed citations
16.
Tourassi, Georgia D., et al.. (2006). Evaluation of information‐theoretic similarity measures for content‐based retrieval and detection of masses in mammograms. Medical Physics. 34(1). 140–150. 95 indexed citations
17.
Tourassi, Georgia D., Anuj Kapadia, Brian Harrawood, et al.. (2006). Design and Construction of a Prototype Rotation Modulation Collimator for Near-Field High-Energy Spectroscopic Gamma Imaging. 2006 IEEE Nuclear Science Symposium Conference Record. 2005. 2021–2024. 3 indexed citations
18.
Floyd, Carey E., Georgia D. Tourassi, Anuj Kapadia, et al.. (2006). Development of a High-Energy Gamma Camera for use with NSECT Imaging of the Breast. 2006 IEEE Nuclear Science Symposium Conference Record. 3925–3927. 2 indexed citations
19.
Floyd, Carey E., Janelle E. Bender, Anuj Kapadia, et al.. (2006). Introduction to neutron stimulated emission computed tomography. Physics in Medicine and Biology. 51(14). 3375–3390. 34 indexed citations
20.
Rigolin, Vera H., Paul A. Robiolio, Brian Harrawood, et al.. (1996). Compression of digital coronary angiograms does not affect visual or quantitative assessment of coronary artery stenosis severity. The American Journal of Cardiology. 78(2). 131–135. 21 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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