Robert MacDonald

1.7k total citations · 2 hit papers
15 papers, 986 citations indexed

About

Robert MacDonald is a scholar working on Sociology and Political Science, Artificial Intelligence and Gender Studies. According to data from OpenAlex, Robert MacDonald has authored 15 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Artificial Intelligence and 3 papers in Gender Studies. Recurrent topics in Robert MacDonald's work include Sport and Mega-Event Impacts (5 papers), Sports, Gender, and Society (3 papers) and AI in cancer detection (3 papers). Robert MacDonald is often cited by papers focused on Sport and Mega-Event Impacts (5 papers), Sports, Gender, and Society (3 papers) and AI in cancer detection (3 papers). Robert MacDonald collaborates with scholars based in Australia, United States and Canada. Robert MacDonald's co-authors include Martin C. Stumpe, Jason Hipp, Yun Liu, David F. Steiner, Lily Peng, Peter Truszkowski, Po-Hsuan Cameron Chen, Greg S. Corrado, Craig H. Mermel and Kunal Nagpal and has published in prestigious journals such as Nature Medicine, Communications of the ACM and The American Journal of Surgical Pathology.

In The Last Decade

Robert MacDonald

14 papers receiving 954 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

2018 308 citations David F. Steiner, Robert MacDonald et al. The American Journal of Surgical Pathology profile →
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

2019 302 citations Kunal Nagpal, Davis Foote et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert MacDonald Australia	6	517	429	254	159	147	15	986
Thomas de Bel Netherlands	10	641 1.2×	459 1.1×	245 1.0×	159 1.0×	231 1.6×	16	1.0k
Hans Pinckaers Netherlands	12	608 1.2×	477 1.1×	217 0.9×	150 0.9×	183 1.2×	20	899
Pegah Khosravi United States	14	439 0.8×	398 0.9×	148 0.6×	95 0.6×	102 0.7×	25	1.3k
Wouter Bulten Netherlands	8	752 1.5×	530 1.2×	210 0.8×	157 1.0×	275 1.9×	9	998
Jana Lipková United States	14	561 1.1×	662 1.5×	118 0.5×	136 0.9×	138 0.9×	30	1.4k
Mohamed Amgad United States	18	692 1.3×	717 1.7×	156 0.6×	195 1.2×	195 1.3×	32	1.6k
Anurag Vaidya United States	8	480 0.9×	407 0.9×	83 0.3×	104 0.7×	117 0.8×	10	865
Safoora Yousefi United States	5	480 0.9×	457 1.1×	107 0.4×	116 0.7×	97 0.7×	7	883
Richard Colling United Kingdom	18	318 0.6×	263 0.6×	152 0.6×	252 1.6×	71 0.5×	47	769
José E. Velázquez Vega United States	7	403 0.8×	414 1.0×	114 0.4×	120 0.8×	77 0.5×	15	821

Countries citing papers authored by Robert MacDonald

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Robert MacDonald. A scholar is included among the top collaborators of Robert MacDonald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert MacDonald. Robert MacDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

MacDonald, Robert, et al.. (2025). SOCKit: An Online Tool for Systems Thinking. Journal of Chemical Education. 102(7). 2990–2996. 1 indexed citations

2.

Goodman, Steven M., Erin Buehler, Patrick Clary, et al.. (2024). LaMPost: AI Writing Assistance for Adults with Dyslexia Using Large Language Models. Communications of the ACM. 67(9). 80–89.

3.

Jiang, Panpan, et al.. (2024). Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech. 2490–2493. 2 indexed citations

4.

Ramsay, Ian & Robert MacDonald. (2023). The Diversity of Director Election Rules in Australian National Sporting Organisations. SSRN Electronic Journal. 1 indexed citations

5.

Cai, Shanqing, Subhashini Venugopalan, Katrin Tomanek, et al.. (2023). SpeakFaster Observer: Long-Term Instrumentation of Eye-Gaze Typing for Measuring AAC Communication. 1–8. 5 indexed citations

6.

Nagpal, Kunal, Davis Foote, Yun Liu, et al.. (2019). Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digital Medicine. 2(1). 48–48. 302 indexed citations breakdown →

7.

Chen, Po-Hsuan Cameron, Krishna Gadepalli, Robert MacDonald, et al.. (2019). An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nature Medicine. 25(9). 1453–1457. 186 indexed citations

8.

Steiner, David F., Robert MacDonald, Yun Liu, et al.. (2018). Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer. The American Journal of Surgical Pathology. 42(12). 1636–1646. 308 indexed citations breakdown →

9.

MacDonald, Robert & Ian Ramsay. (2016). The Australian Sports Commission's "Governance Reform in Sport" Discussion Paper and Voting Rules in Corporate Constitutions. 34. 1 indexed citations

10.

MacDonald, Robert. (2016). Sports Business Management: Decision Making Around the Globe. Sport Management Review. 20(4). 422–423. 2 indexed citations

11.

MacDonald, Robert & Ian Ramsay. (2014). Constitutional Voting Rules of Australian National Sporting Organisations: Comparative Analysis and Principles of Constitutional Design. SSRN Electronic Journal. 1 indexed citations

12.

MacDonald, Robert, et al.. (2007). Around the Grounds: A Comparative Analysis of Football in Australia. 236–331. 10 indexed citations

13.

Borland, Jeff & Robert MacDonald. (2003). Demand for Sport. 8 indexed citations

14.

MacDonald, Robert & Bernard Wood. (1987). Idealism Transformed: The Making of a Progressive Educator. Canadian Journal of Education / Revue canadienne de l éducation. 12(3). 446–446. 2 indexed citations

15.

Fleming, William H., A Hamel, Robert MacDonald, et al.. (1986). Expression of the c-myc protooncogene in human prostatic carcinoma and benign prostatic hyperplasia.. PubMed. 46(3). 1535–8. 157 indexed citations

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.

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