Joseph Cavanaugh

34 papers receiving 1.2k citations

Hit Papers

Ordered quantile normalization: a semiparametric transformation built for the cross-validation era 2019 · 379 citations
3790+2+4Years since publication100200300

Peers

Joseph Cavanaugh
Comparison fields: 5 of 195
  • Neuropsychology and Physiological Psychology 18
  • Critical Care and Intensive Care Medicine 61
  • Statistics and Probability 96
  • Anesthesiology and Pain Medicine 61
  • Nutrition and Dietetics 98
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Liz Cheek United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Joseph Cavanaugh

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Cavanaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joseph Cavanaugh, 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 Joseph Cavanaugh Line = papers co-authored together Joseph Cavanaugh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ordered quantile normalization: a semiparametric transformation built for the cross-validation era
Hit paper breakdown →
2019379
2 2006354
3 2020115
4 200879
5 201051
6 199551
7 200743
8 201020
9 202218
10 202010
11 20229
12 20218
13 20238
14 20225
15 20234
16 20214
17 20223
18 20213
19 20213
20 20232

About Joseph Cavanaugh

Joseph Cavanaugh is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability, Epidemiology, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Traffic and Road Safety (6 papers), Statistical Methods and Bayesian Inference (6 papers), Injury Epidemiology and Prevention (5 papers), Sepsis Diagnosis and Treatment (4 papers), Pain Management and Opioid Use (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Opioid Use Disorder Treatment (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (18 citations), Critical Care and Intensive Care Medicine (61 citations), Statistics and Probability (96 citations), Anesthesiology and Pain Medicine (61 citations) and Nutrition and Dietetics (98 citations). Joseph Cavanaugh has collaborated with scholars based in United States and Bosnia and Herzegovina. Frequent co-authors include Ryan Peterson, Vishal Patel, Kennith Culp, Brian Kaskie, José Iglesias, Kannappan Palaniappan, Yuxuan Huang, Xiahai Zhuang, Keela Herr and Xiongwen Tang. Their work appears in journals such as Journal of Safety Research, Critical Care Medicine, Journal of Pain and Symptom Management, Journal of the American Statistical Association and AStA Advances in Statistical Analysis.

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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