Matthew Olson
Impact in
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Machine Learning and ELM
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- Advanced Neural Network Applications
Papers in
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- Machine Learning and Data Classification 3
- Explainable Artificial Intelligence (XAI) 3
- Adversarial Robustness in Machine Learning 2
- Neural Networks and Applications 2
- Imbalanced Data Classification Techniques 1
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- MRI in cancer diagnosis 3
- Co-authors
- Lawrence Neal (2 shared papers)Fuxin Li (2 shared papers)Weng‐Keen Wong (3 shared papers)Xiaoli Z. Fern (1 shared paper)Abraham J. Wyner (2 shared papers)David Mease (1 shared paper)Justin Bleich (1 shared paper)Richard A. Berk (1 shared paper)
- Journals
- Journal of Computer Assisted Tomography (1 paper)Radiology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)Machine Learning Science and Technology (1 paper)Physica D Nonlinear Phenomena (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Matthew Olson
15 papers receiving 763 citations
Matthew Olson's Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 424
- Computer Vision and Pattern Recognition 146
- Radiology, Nuclear Medicine and Imaging 124
- Health Informatics 8
- Software 20
Countries citing papers authored by Matthew Olson
This map shows the geographic impact of Matthew Olson'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 Matthew Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Olson more than expected).
Fields of papers citing papers by Matthew Olson
This network shows the impact of papers produced by Matthew Olson. 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 Matthew Olson. The network helps show where Matthew Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Olson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Open Set Learning with Counterfactual Images Hit paper breakdown → | 2018 | 326 |
| 2 | 2017 | 148 | |
| 3 | Modern Neural Networks Generalize on Small Data Sets | 2018 | 70 |
| 4 | 2012 | 67 | |
| 5 | 2021 | 44 | |
| 6 | 2020 | 41 | |
| 7 | 2015 | 30 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | Essays on Random Forest Ensembles | 2018 | 3 |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2018 | 0 | |
| 17 | 2024 | 0 | |
| 18 | ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION | 2019 | 0 |
About Matthew Olson
Matthew Olson is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Management Science and Operations Research, Information Systems and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 782 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (3 papers), Machine Learning and Data Classification (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Adversarial Robustness in Machine Learning (2 papers), Neural Networks and Applications (2 papers), Imbalanced Data Classification Techniques (1 paper), Advanced Mathematical Modeling in Engineering (1 paper) and Corporate Finance and Governance (1 paper). The work is most often cited by research in Artificial Intelligence (424 citations), Computer Vision and Pattern Recognition (146 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Health Informatics (8 citations) and Software (20 citations). Matthew Olson has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lawrence Neal, Fuxin Li, Weng‐Keen Wong, Xiaoli Z. Fern, Abraham J. Wyner, David Mease, Justin Bleich, Richard A. Berk, Habib Rahbar and Savannah C. Partridge. Their work appears in journals such as Journal of Computer Assisted Tomography, Radiology, Journal of Magnetic Resonance Imaging, Machine Learning Science and Technology and Physica D Nonlinear Phenomena.
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.