Robert MacDonald
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Sport and Mega-Event Impacts 5
- Doping in Sports 3
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- AI in cancer detection 3
- Text Readability and Simplification 2
- Natural Language Processing Techniques 2
- Co-authors
- Martin C. Stumpe (3 shared papers)Yun Liu (3 shared papers)Jason Hipp (3 shared papers)Lily Peng (1 shared paper)Peter Truszkowski (1 shared paper)David F. Steiner (1 shared paper)Kunal Nagpal (2 shared papers)Craig H. Mermel (2 shared papers)
- Journals
- Nature Medicine (1 paper)npj Digital Medicine (1 paper)Sport Management Review (1 paper)The American Journal of Surgical Pathology (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Robert MacDonald
15 papers receiving 985 citations
Robert MacDonald's Hit Papers
Peers
Comparison fields: 5 of 114
- Health Informatics 130
- Radiology, Nuclear Medicine and Imaging 349
- Artificial Intelligence 466
- Biophysics 62
- Cancer Research 99
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 | 320 |
| 2 | Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer Hit paper breakdown → | 2019 | 312 |
| 3 | 2019 | 195 | |
| 4 | Expression of the c-myc protooncogene in human prostatic carcinoma and benign prostatic hyperplasia. | 1986 | 157 |
| 5 | Around the Grounds: A Comparative Analysis of Football in Australia | 2007 | 10 |
| 6 | Demand for Sport | 2003 | 8 |
| 7 | 2023 | 5 | |
| 8 | 2016 | 2 | |
| 9 | 1987 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | The Australian Sports Commission's "Governance Reform in Sport" Discussion Paper and Voting Rules in Corporate Constitutions | 2016 | 1 |
| 14 | 2025 | 1 | |
| 15 | 2014 | 1 |
About Robert MacDonald
Robert MacDonald is a scholar working on Sociology and Political Science, Artificial Intelligence, Gender Studies, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sport and Mega-Event Impacts (5 papers), Sports, Gender, and Society (3 papers), Doping in Sports (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Text Readability and Simplification (2 papers), Natural Language Processing Techniques (2 papers) and University-Industry-Government Innovation Models (1 paper). The work is most often cited by research in Health Informatics (130 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Artificial Intelligence (466 citations), Biophysics (62 citations) and Cancer Research (99 citations). Robert MacDonald has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Martin C. Stumpe, Yun Liu, Jason Hipp, Lily Peng, Peter Truszkowski, David F. Steiner, Kunal Nagpal, Craig H. Mermel, Po-Hsuan Cameron Chen and Greg S. Corrado. Their work appears in journals such as Nature Medicine, npj Digital Medicine, Sport Management Review, The American Journal of Surgical Pathology and Communications of the ACM.
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.