Matthew Olson
Impact in
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
Papers in
-
- Machine Learning and Data Classification 3
- Explainable Artificial Intelligence (XAI) 3
- Neural Networks and Applications 2
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- Advanced Neuroimaging Techniques and Applications 3
- MRI in cancer diagnosis 3
- Advanced MRI Techniques and Applications 2
- Co-authors
- Abraham J. Wyner (2 shared papers)Justin Bleich (1 shared paper)David Mease (1 shared paper)Richard A. Berk (1 shared paper)Constance D. Lehman (3 shared papers)Habib Rahbar (3 shared papers)Savannah C. Partridge (3 shared papers)Kimberly H. Allison (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Radiology (1 paper)Physica D Nonlinear Phenomena (1 paper)Journal of Computer Assisted Tomography (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Matthew Olson
14 papers receiving 410 citations
Peers
Comparison fields: 5 of 113
- Health Informatics 7
- Artificial Intelligence 158
- Radiology, Nuclear Medicine and Imaging 113
- Software 18
- Safety Research 24
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 | 2017 | 137 | |
| 2 | 2012 | 66 | |
| 3 | Modern Neural Networks Generalize on Small Data Sets | 2018 | 64 |
| 4 | 2021 | 36 | |
| 5 | 2020 | 36 | |
| 6 | 2015 | 29 | |
| 7 | 2018 | 20 | |
| 8 | 2016 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 3 | |
| 12 | Essays on Random Forest Ensembles | 2018 | 3 |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | ADAPTING PRETRAINED LANGUAGE MODELS FOR LONG DOCUMENT CLASSIFICATION | 2019 | 0 |
| 16 | 2018 | 0 |
About Matthew Olson
Matthew Olson is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Management Science and Operations Research, Pathology and Forensic Medicine and Information Systems, having authored 16 papers that have together received 422 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), MRI in cancer diagnosis (3 papers), Machine Learning and Data Classification (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Neural Networks and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Corporate Finance and Governance (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (158 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Software (18 citations) and Safety Research (24 citations). Matthew Olson has collaborated with scholars based in United States and Canada. Frequent co-authors include Abraham J. Wyner, Justin Bleich, David Mease, Richard A. Berk, Constance D. Lehman, Habib Rahbar, Savannah C. Partridge, Kimberly H. Allison, Sana Parsian and Wendy B. DeMartini. Their work appears in journals such as Artificial Intelligence, Radiology, Physica D Nonlinear Phenomena, Journal of Computer Assisted Tomography and Journal of Machine Learning Research.
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.