Andrew D. A. Maidment

6.5k total citations
272 papers, 4.4k citations indexed

About

Andrew D. A. Maidment is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Andrew D. A. Maidment has authored 272 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Pulmonary and Respiratory Medicine, 198 papers in Radiology, Nuclear Medicine and Imaging and 93 papers in Artificial Intelligence. Recurrent topics in Andrew D. A. Maidment's work include Digital Radiography and Breast Imaging (204 papers), Medical Imaging Techniques and Applications (141 papers) and AI in cancer detection (93 papers). Andrew D. A. Maidment is often cited by papers focused on Digital Radiography and Breast Imaging (204 papers), Medical Imaging Techniques and Applications (141 papers) and AI in cancer detection (93 papers). Andrew D. A. Maidment collaborates with scholars based in United States, Brazil and Canada. Andrew D. A. Maidment's co-authors include Predrag R. Bakić, Michael Albert, Raymond J. Acciavatti, Emily F. Conant, Martin J. Yaffe, Bruno Barufaldi, D. Brzaković, Despina Kontos, Susan P. Weinstein and David D. Pokrajac and has published in prestigious journals such as PLoS ONE, Chemistry of Materials and Cancer Research.

In The Last Decade

Andrew D. A. Maidment

254 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew D. A. Maidment United States 38 2.7k 2.7k 1.5k 1.4k 316 272 4.4k
Henkjan Huisman Netherlands 41 4.4k 1.6× 4.6k 1.7× 693 0.5× 785 0.6× 223 0.7× 124 6.5k
Andreas Boss Switzerland 39 3.5k 1.3× 942 0.3× 940 0.6× 555 0.4× 370 1.2× 230 5.6k
Peter Gibbs United Kingdom 32 4.0k 1.5× 1.2k 0.4× 580 0.4× 573 0.4× 409 1.3× 76 4.7k
Henry C. Woodruff Netherlands 35 5.5k 2.0× 2.2k 0.8× 1.5k 1.0× 1.1k 0.8× 1.0k 3.3× 104 6.8k
Changhong Liang China 41 5.5k 2.0× 2.0k 0.7× 1.1k 0.7× 1.1k 0.8× 1.4k 4.5× 191 7.3k
Katja Pinker Austria 56 6.5k 2.4× 1.3k 0.5× 739 0.5× 1.3k 1.0× 775 2.5× 282 8.7k
Pascal Baltzer Austria 48 6.3k 2.3× 1.6k 0.6× 462 0.3× 929 0.7× 585 1.9× 323 8.0k
Emmanuel Rios Velazquez United States 20 6.6k 2.4× 3.0k 1.1× 1.9k 1.2× 1.3k 0.9× 1.3k 4.0× 32 7.4k
Srinivasan Vedantham United States 29 1.6k 0.6× 1.6k 0.6× 978 0.6× 471 0.3× 133 0.4× 141 2.6k
George Panayiotakis Greece 29 1.8k 0.7× 1.0k 0.4× 1.2k 0.8× 395 0.3× 83 0.3× 220 3.3k

Countries citing papers authored by Andrew D. A. Maidment

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. A. Maidment

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. A. Maidment. 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 Andrew D. A. Maidment. The network helps show where Andrew D. A. Maidment may publish in the future.

Co-authorship network of co-authors of Andrew D. A. Maidment

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. A. Maidment. A scholar is included among the top collaborators of Andrew D. A. Maidment 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 Andrew D. A. Maidment. Andrew D. A. Maidment 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.
Goodsitt, Mitchell M. & Andrew D. A. Maidment. (2025). Evolution of tomosynthesis. Journal of Medical Imaging. 12(S1). S13012–S13012.
2.
Woodruff, Henry C., Xian Zhong, Kuang Sheng, et al.. (2025). Radiomics Quality Score 2.0: towards radiomics readiness levels and clinical translation for personalized medicine. Nature Reviews Clinical Oncology. 22(11). 831–846. 4 indexed citations
3.
Winham, Stacey J., Anne Marie McCarthy, Christopher G. Scott, et al.. (2025). Radiomic Parenchymal Phenotypes of Breast Texture from Mammography and Association with Risk of Breast Cancer. Radiology. 315(2). e240281–e240281. 1 indexed citations
4.
Acciavatti, Raymond J., et al.. (2024). Line‐based iterative geometric calibration method for a tomosynthesis system. Medical Physics. 51(4). 2444–2460. 1 indexed citations
5.
Acciavatti, Raymond J., et al.. (2023). Spatial dependency of multiplanar reconstruction in digital breast tomosynthesis. PubMed. 12463. 90–90.
6.
Acciavatti, Raymond J., et al.. (2022). Achieving isotropic super-resolution with a non-isocentric acquisition geometry in a next-generation tomosynthesis system. PubMed. 12031. 183–183. 2 indexed citations
7.
Gastounioti, Aimilia, Lauren Pantalone, Christopher G. Scott, et al.. (2021). Fully Automated Volumetric Breast Density Estimation from Digital Breast Tomosynthesis. Radiology. 301(3). 561–568. 21 indexed citations
8.
Acciavatti, Raymond J., et al.. (2020). Super-resolution in digital breast tomosynthesis: limitations of the conventional system design and strategies for optimization. PubMed. 11513. 39–39. 1 indexed citations
9.
Acciavatti, Raymond J., Eric A. Cohen, Omid Haji Maghsoudi, et al.. (2020). Calculation of radiomic features to validate the textural realism of physical anthropomorphic phantoms for digital mammography. PubMed. 11513. 101–101. 2 indexed citations
10.
Kimpe, Tom, et al.. (2020). Simulation and evaluation of clinically relevant features in a computational skin model. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
11.
Maidment, Andrew D. A., et al.. (2020). Impact of chromophores on colour appearance in a computational skin model. Ghent University Academic Bibliography (Ghent University). 110–110.
12.
Barufaldi, Bruno, Raymond J. Acciavatti, Predrag R. Bakić, et al.. (2020). Determining the optimal angular range of the X-ray source motion in tomosynthesis using virtual clinical trials. PubMed. 11312. 18–18. 3 indexed citations
13.
14.
Cheng, Erkang, Haibin Ling, Predrag R. Bakić, Andrew D. A. Maidment, & Vasileios Megalooikonomou. (2011). AUTOMATIC DETECTION OF REGION OF INTERESTS IN MAMMOGRAPHIC IMAGES. 12(31). 1 indexed citations
15.
Bakić, Predrag R., et al.. (2011). Development of a physical 3D anthropomorphic breast phantom. Medical Physics. 38(2). 891–896. 84 indexed citations
16.
Lakhani, Paras, Andrew D. A. Maidment, Susan P. Weinstein, Justin W. Kung, & A. Alavi. (2010). Correlation between quantified breast densities from digital mammography and 18F-FDG PET uptake. Clinical Imaging. 34(1). 77–78. 1 indexed citations
17.
Maidment, Andrew D. A.. (2010). WE‐C‐201C‐03: Tissue Discrimination Methods in Mammography and Tomosynthesis. Medical Physics. 37(6Part8). 3425–3425.
18.
Ling, Haibin, et al.. (2010). Probabilistic branching node detection using AdaBoost and hybrid local features. 221–224. 2 indexed citations
19.
Maidment, Andrew D. A., Predrag R. Bakić, & Michael Albert. (2003). Effects of quantum noise and binocular summation on dose requirements in stereoradiography. Medical Physics. 30(12). 3061–3071. 15 indexed citations
20.
Bakić, Predrag R., Michael Albert, D. Brzaković, & Andrew D. A. Maidment. (2003). Mammogram synthesis using a three‐dimensional simulation. III. Modeling and evaluation of the breast ductal network. Medical Physics. 30(7). 1914–1925. 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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