Marshall Brown

50 papers receiving 1.0k citations

Hit Papers

Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use 2016 · 411 citations
4112016202620192022100200300400

Peers

Marshall Brown
Comparison fields: 5 of 159
  • Statistics and Probability 83
  • Literature and Literary Theory 104
  • Cancer Research 127
  • Pulmonary and Respiratory Medicine 265
  • Health Informatics 10
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Citations per year

Countries citing papers authored by Marshall Brown

Since Specialization
Citations

This map shows the geographic impact of Marshall Brown'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 Marshall Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marshall Brown more than expected).

Fields of papers citing papers by Marshall Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marshall Brown. 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 Marshall Brown. The network helps show where Marshall Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Marshall Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marshall Brown Line = papers co-authored together Marshall Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use
Hit paper breakdown →
2016411
2 1983167
3 201663
4 201856
5 198147
6 200940
7 201439
8 201929
9 201927
10 201627
11 201923
12 199322
13 201217
14 200117
15 201915
16 201914
17 198113
18 201912
19 201710
20 200010

About Marshall Brown

Marshall Brown is a scholar working on Statistics and Probability, Music, Literature and Literary Theory, Visual Arts and Performing Arts and Language and Linguistics, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (8 papers), Statistical Methods and Inference (4 papers), Poetry Analysis and Criticism (3 papers), Renal cell carcinoma treatment (3 papers), Prostate Cancer Treatment and Research (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Optimal Experimental Design Methods (3 papers) and Translation Studies and Practices (3 papers). The work is most often cited by research in Statistics and Probability (83 citations), Literature and Literary Theory (104 citations), Cancer Research (127 citations), Pulmonary and Respiratory Medicine (265 citations) and Health Informatics (10 citations). Marshall Brown has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Holly Janes, Kathleen F. Kerr, Kehao Zhu, Eleftherios P. Diamandis, Yingye Zheng, Margaret S. Pepe, Nathan Tintle, Ying Huang, William L. Fisher and Ihor Batruch. Their work appears in journals such as Modern Language Quarterly, Studies in Romanticism, Journal of Architectural Education, PMLA/Publications of the Modern Language Association of America and Critical Inquiry.

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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