Aidan Boyd
Impact in
- Signal Processing top 5%
- Biometric Identification and Security
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Biometric Identification and Security 12
- Genetics 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Kevin W. Bowyer (13 shared papers)Adam Czajka (13 shared papers)Zhaoyuan Fang (2 shared papers)Dennis J. Chute (3 shared papers)Patrick J. Flynn (3 shared papers)Zezhong Ye (3 shared papers)Benjamin Harris Kann (3 shared papers)Julia He Huang (1 shared paper)
- Journals
- Radiology Artificial Intelligence (2 papers)IEEE Transactions on Artificial Intelligence (1 paper)Pattern Recognition Letters (1 paper)IEEE Access (1 paper)Advances in computer vision and pattern recognition (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Aidan Boyd
23 papers receiving 322 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 166
- Health Informatics 20
- Neurology 28
- Genetics 26
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Aidan Boyd
This map shows the geographic impact of Aidan Boyd'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 Aidan Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aidan Boyd more than expected).
Fields of papers citing papers by Aidan Boyd
This network shows the impact of papers produced by Aidan Boyd. 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 Aidan Boyd. The network helps show where Aidan Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Aidan Boyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 39 | |
| 2 | 2020 | 38 | |
| 3 | 2024 | 30 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 24 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2024 | 19 | |
| 9 | 2024 | 15 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2018 | 2 | |
| 20 | 2020 | 2 |
About Aidan Boyd
Aidan Boyd is a scholar working on Signal Processing, Genetics, Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 327 indexed citations. Recurring topics across this work include Biometric Identification and Security (12 papers), Medical Image Segmentation Techniques (3 papers), Glioma Diagnosis and Treatment (3 papers), Brain Tumor Detection and Classification (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Visual Attention and Saliency Detection (1 paper), Advanced Neural Network Applications (1 paper) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Signal Processing (166 citations), Health Informatics (20 citations), Neurology (28 citations), Genetics (26 citations) and Computer Vision and Pattern Recognition (57 citations). Aidan Boyd has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Kevin W. Bowyer, Adam Czajka, Zhaoyuan Fang, Dennis J. Chute, Patrick J. Flynn, Zezhong Ye, Benjamin Harris Kann, Julia He Huang, Arun A. Ross and Piotr Maciejewicz. Their work appears in journals such as Radiology Artificial Intelligence, IEEE Transactions on Artificial Intelligence, Pattern Recognition Letters, IEEE Access and Advances in computer vision and pattern recognition.
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.