Adam P. Harrison

2.3k total citations
28 papers, 568 citations indexed

About

Adam P. Harrison is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Adam P. Harrison has authored 28 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Adam P. Harrison's work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Adam P. Harrison is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). Adam P. Harrison collaborates with scholars based in United States, Taiwan and Canada. Adam P. Harrison's co-authors include Le Lü, Ronald M. Summers, Holger R. Roth, Andrew Sohn, Nathan Lay, Amal Farag, Jing Xiao, Dakai Jin, Shun Miao and Dazhou Guo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Adam P. Harrison

26 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam P. Harrison United States	14	338	269	197	96	48	28	568
Peijun Hu China	8	445 1.3×	334 1.2×	252 1.3×	169 1.8×	37 0.8×	23	759
Xiaowei Ding China	5	441 1.3×	364 1.4×	364 1.8×	114 1.2×	67 1.4×	8	825
Dzhoshkun I. Shakir United Kingdom	9	221 0.7×	160 0.6×	131 0.7×	105 1.1×	50 1.0×	22	532
Jianan Chen China	10	224 0.7×	254 0.9×	138 0.7×	98 1.0×	42 0.9×	32	580
Dominik Müller Germany	6	270 0.8×	141 0.5×	173 0.9×	80 0.8×	58 1.2×	16	540
Laurent Massoptier Italy	11	252 0.7×	263 1.0×	142 0.7×	128 1.3×	66 1.4×	23	543
Rongjun Ge China	16	305 0.9×	271 1.0×	133 0.7×	220 2.3×	80 1.7×	35	657
Jinzheng Cai United States	11	408 1.2×	357 1.3×	383 1.9×	101 1.1×	73 1.5×	17	773
Yuanzhi Cheng China	13	253 0.7×	260 1.0×	138 0.7×	95 1.0×	100 2.1×	48	572

Countries citing papers authored by Adam P. Harrison

Since Specialization

Citations

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

Fields of papers citing papers by Adam P. Harrison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam P. Harrison

This figure shows the co-authorship network connecting the top 25 collaborators of Adam P. Harrison. A scholar is included among the top collaborators of Adam P. Harrison 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 P. Harrison. Adam P. Harrison 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

Harrison, Adam P., et al.. (2023). Steatosis Quantification on Ultrasound Images by a Deep Learning Algorithm on Patients Undergoing Weight Changes. Diagnostics. 13(20). 3225–3225. 1 indexed citations

Coates, Elizabeth, Theocharis Stavroulakis, Elaine Fox, et al.. (2022). Co-design of digital learning resources for care workers: reflections on the neurocare knowhow project. Journal of Medical Engineering & Technology. 46(6). 518–526. 2 indexed citations

Li, Bowen, Dar‐In Tai, Ke Yan, et al.. (2022). Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning. World Journal of Gastroenterology. 28(22). 2494–2508. 22 indexed citations

Zhu, Wei, Le Lü, Jing Xiao, et al.. (2022). Localized Adversarial Domain Generalization. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7098–7108. 21 indexed citations

Harrison, Adam P., Stefan Ulzheimer, & Amir Pourmorteza. (2021). Maximum A Posteriori material decomposition for spectral photon-counting CT: application to human blood iron level estimation. 158–158.

Cai, Jinzheng, Youbao Tang, Ke Yan, et al.. (2021). Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. 15154–15164. 17 indexed citations

Guo, Dazhou, Dakai Jin, Zhuotun Zhu, et al.. (2020). Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. 4222–4231. 33 indexed citations

Jin, Dakai, Dazhou Guo, Tsung‐Ying Ho, et al.. (2020). DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. Medical Image Analysis. 68. 101909–101909. 46 indexed citations

Chen, Haomin, Shun Miao, Daguang Xu, Gregory D. Hager, & Adam P. Harrison. (2020). Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies. Medical Image Analysis. 66. 101811–101811. 22 indexed citations

10.

Lu, Yuhang, Kang Zheng, Yirui Wang, et al.. (2020). Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. IEEE Transactions on Medical Imaging. 40(10). 2672–2684. 19 indexed citations

11.

Lü, Le & Adam P. Harrison. (2018). Deep Medical Image Computing in Preventive and Precision Medicine. IEEE Multimedia. 25(3). 109–113. 5 indexed citations

12.

Roth, Holger R., Le Lü, Nathan Lay, et al.. (2018). Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Analysis. 45. 94–107. 229 indexed citations

13.

Harrison, Adam P., Ziyue Xu, Amir Pourmorteza, David A. Bluemke, & Daniel J. Mollura. (2017). A multichannel block-matching denoising algorithm for spectral photon-counting CT images. Medical Physics. 44(6). 2447–2452. 17 indexed citations

14.

Harrison, Adam P., et al.. (2016). Numeric tensor framework: Exploiting and extending Einstein notation. Journal of Computational Science. 16. 128–139. 6 indexed citations

15.

Harrison, Adam P., Neil Birkbeck, & Michal Sofka. (2013). IntellEditS: Intelligent Learning-Based Editor of Segmentations. Lecture notes in computer science. 16(Pt 3). 235–242. 1 indexed citations

16.

Harrison, Adam P., et al.. (2013). Virtual Reected-Light Microscopy.

17.

Harrison, Adam P., et al.. (2011). Virtual reflected-light microscopy. Journal of Microscopy. 244(3). 293–304. 3 indexed citations

18.

Harrison, Adam P., et al.. (2011). Maximum Likelihood Estimation of Depth Maps Using Photometric Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(7). 1368–1380. 2 indexed citations

19.

Harrison, Adam P.. (2010). Computer vision for computer-aided microfossil identification. University of Alberta Library. 3 indexed citations

20.

Cranney, Ann, Adam P. Harrison, Lucia Rühland, et al.. (2005). Driving problems in patients with rheumatoid arthritis.. PubMed. 32(12). 2337–42. 20 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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