Thomas Lumley

13.9k citations
163 papers · 8.9k indexed · 4 hit papers · h-index 39
Topics
Statistical Methods and Bayesian Inference (39 papers)Statistical Methods and Inference (35 papers)Advanced Causal Inference Techniques (15 papers)
Journals
JAMANature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Thomas Lumley

153 papers receiving 8.7k citations

Hit Papers

Time‐Dependent ROC Curves for Censored Survival Data and ...2000202620082017200020042010202150010001.5k2.0k

Peers

Thomas Lumley
Comparison fields: 5 of 209
  • Health, Toxicology and Mutagenesis 1.5k
  • Statistics and Probability 1.2k
  • Molecular Biology 991
  • Pulmonary and Respiratory Medicine 950
  • Epidemiology 939
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Lumley

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lumley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Lumley

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lumley. A scholar is included among the top collaborators of Thomas Lumley 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 Thomas Lumley. Thomas Lumley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 0
6 3
7 3
8 25
9 6
10 6
11 44
12 10
13
Biases in describing residents in long-term residential aged care.
2
14 3
15
osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies
1
16
Sensitivity analyses comparing time-to-event outcomes only existing in a subset selected post-randomization, conditional on covariates, with application to HIV vaccine trials
6
17 3
18
Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Markerbreakdown →
2010
19 81
20 8

About Thomas Lumley

Thomas Lumley is a scholar working on Statistics and Probability, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 163 papers that have together received 8.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (39 papers), Statistical Methods and Inference (35 papers) and Advanced Causal Inference Techniques (15 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Health, Toxicology and Mutagenesis (1.5k citations) and Speech and Hearing (290 citations). Thomas Lumley has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Patrick J. Heagerty, Margaret S. Pepe, Lianne Sheppard, Drew Levy, Joel D. Kaufman, Kenneth Rice, Harvey Checkoway, Alastair Scott, Richard A. Kronmal and Jane Q. Koenig. Their work appears in journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

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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