Marshall Brown

64 papers receiving 1.5k 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 · 481 citations
4810+3+6Years since publication100200300400

Peers

Marshall Brown
Comparison fields: 5 of 153
  • Literature and Literary Theory 239
  • Visual Arts and Performing Arts 51
  • Statistics and Probability 78
  • Pulmonary and Respiratory Medicine 263
  • Cancer Research 109
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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 78 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 →
2016481
2 1983206
3 2015135
4 201671
5 201867
6 198167
7 202061
8 199157
9 199348
10 201445
11 200941
12 201838
13 198137
14 198236
15 201932
16 201631
17 197828
18 201927
19 200126
20 201925

About Marshall Brown

Marshall Brown is a scholar working on Literature and Literary Theory, Statistics and Probability, Pulmonary and Respiratory Medicine, Music and Museology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Statistical Methods and Inference (4 papers), Poetry Analysis and Criticism (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Renal cell carcinoma treatment (3 papers), Optimal Experimental Design Methods (3 papers) and German Literature and Culture Studies (2 papers). The work is most often cited by research in Literature and Literary Theory (239 citations), Visual Arts and Performing Arts (51 citations), Statistics and Probability (78 citations), Pulmonary and Respiratory Medicine (263 citations) and Cancer Research (109 citations). Marshall Brown has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Holly E. Janes, Kathleen F. Kerr, Kehao Zhu, Eleftherios P. Diamandis, Yingye Zheng, Ihor Batruch, MARGARET SULLIVAN PEPE, Nathan Tintle, William L. Fisher and Ying Huang. Their work appears in journals such as Modern Language Quarterly, Studies in Romanticism, Journal of Architectural Education, Clinical Chemistry and Laboratory Medicine (CCLM) and College English.

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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