Adam P. Harrison

118 total papers · 2.3k total citations
28 papers, 563 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 563 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, Holger R. Roth, Amal Farag, Nathan Lay, Ronald M. Summers, Andrew Sohn, Jing Xiao, Dakai Jin, Shun Miao and Tsung‐Ying Ho 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 549 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Adam P. Harrison 334 268 194 94 48 28 563
Zhennan Yan 277 0.8× 206 0.8× 226 1.2× 130 1.4× 44 0.9× 37 605
Hans Meine 278 0.8× 161 0.6× 131 0.7× 133 1.4× 64 1.3× 42 513
Dzhoshkun I. Shakir 220 0.7× 159 0.6× 131 0.7× 105 1.1× 50 1.0× 22 530
Laurent Massoptier 252 0.8× 263 1.0× 142 0.7× 128 1.4× 65 1.4× 23 542
Dakai Jin 364 1.1× 201 0.8× 150 0.8× 144 1.5× 137 2.9× 35 674
P.E. Undrill 328 1.0× 247 0.9× 117 0.6× 92 1.0× 37 0.8× 35 697
Jianan Chen 221 0.7× 246 0.9× 138 0.7× 94 1.0× 40 0.8× 32 565
Mohammed Yusuf Ansari 246 0.7× 169 0.6× 154 0.8× 159 1.7× 46 1.0× 20 676
Xuanang Xu 307 0.9× 233 0.9× 237 1.2× 147 1.6× 112 2.3× 31 649
Rongjun Ge 298 0.9× 267 1.0× 132 0.7× 218 2.3× 79 1.6× 35 642

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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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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