Robert MacDonald
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Digital Accessibility for Disabilities 2
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- AI in cancer detection 3
- Natural Language Processing Techniques 2
- Text Readability and Simplification 2
- Co-authors
- Jason Hipp (3 shared papers)Martin C. Stumpe (3 shared papers)Yun Liu (3 shared papers)Peter Truszkowski (1 shared paper)David F. Steiner (1 shared paper)Lily Peng (1 shared paper)Craig H. Mermel (2 shared papers)Kunal Nagpal (2 shared papers)
- Journals
- Nature Medicine (1 paper)npj Digital Medicine (1 paper)Communications of the ACM (1 paper)The American Journal of Surgical Pathology (1 paper)Canadian Journal of Education / Revue canadienne de l éducation (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Robert MacDonald
12 papers receiving 1.1k citations
Robert MacDonald's Hit Papers
Peers
Comparison fields: 5 of 116
- Health Informatics 157
- Radiology, Nuclear Medicine and Imaging 385
- Artificial Intelligence 556
- Biophysics 75
- Health Information Management 39
Countries citing papers authored by Robert MacDonald
This map shows the geographic impact of Robert MacDonald'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 Robert MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert MacDonald more than expected).
Fields of papers citing papers by Robert MacDonald
This network shows the impact of papers produced by Robert MacDonald. 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 Robert MacDonald. The network helps show where Robert MacDonald may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert MacDonald, 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 | Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer Hit paper breakdown → | 2018 | 359 |
| 2 | Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Hit paper breakdown → | 2019 | 345 |
| 3 | 2019 | 224 | |
| 4 | Expression of the c-myc protooncogene in human prostatic carcinoma and benign prostatic hyperplasia. | 1986 | 168 |
| 5 | 2022 | 55 | |
| 6 | Around the Grounds: A Comparative Analysis of Football in Australia | 2007 | 11 |
| 7 | 2023 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 1987 | 2 | |
| 12 | The Australian Sports Commission's "Governance Reform in Sport" Discussion Paper and Voting Rules in Corporate Constitutions | 2016 | 1 |
About Robert MacDonald
Robert MacDonald is a scholar working on Human Factors and Ergonomics, Artificial Intelligence, Occupational Therapy, Radiology, Nuclear Medicine and Imaging and Physical Therapy, Sports Therapy and Rehabilitation, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Sport and Mega-Event Impacts (2 papers), Natural Language Processing Techniques (2 papers), Text Readability and Simplification (2 papers), Digital Accessibility for Disabilities (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Glycosylation and Glycoproteins Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Health Informatics (157 citations), Radiology, Nuclear Medicine and Imaging (385 citations), Artificial Intelligence (556 citations), Biophysics (75 citations) and Health Information Management (39 citations). Robert MacDonald has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jason Hipp, Martin C. Stumpe, Yun Liu, Peter Truszkowski, David F. Steiner, Lily Peng, Craig H. Mermel, Kunal Nagpal, Po-Hsuan Cameron Chen and Greg S. Corrado. Their work appears in journals such as Nature Medicine, npj Digital Medicine, Communications of the ACM, The American Journal of Surgical Pathology and Canadian Journal of Education / Revue canadienne de l éducation.
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.