Marshall Brown

58 papers receiving 1.2k citations

Marshall Brown's Hit Papers

Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use 2016 · 423 citations
4230+3+6Years since publication100200300400

Peers

Marshall Brown
Comparison fields: 5 of 150
  • Literature and Literary Theory 251
  • Visual Arts and Performing Arts 50
  • Classics 37
  • Philosophy 101
  • Statistics and Probability 68
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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 74 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 →
2016423
2 1983212
3 201666
4 198165
5 201861
6 199158
7 199351
8 201442
9 200941
10 198140
11 200040
12 198236
13 201929
14 201628
15 197828
16 201927
17 200125
18 201923
19 199323
20 199721

About Marshall Brown

Marshall Brown is a scholar working on Literature and Literary Theory, Pulmonary and Respiratory Medicine, Statistics and Probability, Molecular Biology and Language and Linguistics, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Inference (4 papers), Renal cell carcinoma treatment (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Russian Literature and Bakhtin Studies (3 papers), Poetry Analysis and Criticism (3 papers), Translation Studies and Practices (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Literature and Literary Theory (251 citations), Visual Arts and Performing Arts (50 citations), Classics (37 citations), Philosophy (101 citations) and Statistics and Probability (68 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, Ying Huang, Nathan Tintle, William L. Fisher and Ihor Batruch. Their work appears in journals such as Modern Language Quarterly, Studies in Romanticism, PMLA/Publications of the Modern Language Association of America, Journal of Architectural Education and ELH.

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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