Scott L. Zeger

75.5k total citations · 16 hit papers
344 papers, 55.9k citations indexed

About

Scott L. Zeger is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and General Health Professions. According to data from OpenAlex, Scott L. Zeger has authored 344 papers receiving a total of 55.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Statistics and Probability, 53 papers in Health, Toxicology and Mutagenesis and 45 papers in General Health Professions. Recurrent topics in Scott L. Zeger's work include Air Quality and Health Impacts (49 papers), Statistical Methods and Bayesian Inference (47 papers) and Statistical Methods and Inference (31 papers). Scott L. Zeger is often cited by papers focused on Air Quality and Health Impacts (49 papers), Statistical Methods and Bayesian Inference (47 papers) and Statistical Methods and Inference (31 papers). Scott L. Zeger collaborates with scholars based in United States, United Kingdom and Nepal. Scott L. Zeger's co-authors include Kung‐Yee Liang, Kung‐Yee Liang, Peter J. Diggle, Francesca Dominici, Paul S. Albert, Jonathan M. Samet, Patrick J. Heagerty, Roger D. Peng, Jonathan M. Samet and Michelle L. Bell and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Scott L. Zeger

326 papers receiving 53.4k citations

Hit Papers

Longitudinal data analysis using generalized linear models 1986 2026 1999 2012 1986 1986 1988 2002 2006 4.0k 8.0k 12.0k

Peers

Scott L. Zeger
Comparison fields: 5 of 233
  • Health, Toxicology and Mutagenesis 10.7k
  • Statistics and Probability 10.2k
  • General Health Professions 5.9k
  • Economics and Econometrics 5.0k
  • Epidemiology 5.0k
Replace James H. Ware with:
James H. Ware United States
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James H. Ware United States View profile →
Citations per field, relative to Scott L. Zeger
Scott L. Zeger · 1×
Citations per year, relative to Scott L. Zeger
Scott L. Zeger · 1×

Countries citing papers authored by Scott L. Zeger

Since Specialization
Citations

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

Fields of papers citing papers by Scott L. Zeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott L. Zeger. 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 Scott L. Zeger. The network helps show where Scott L. Zeger may publish in the future.

Co-authorship network of co-authors of Scott L. Zeger

This figure shows the co-authorship network connecting the top 25 collaborators of Scott L. Zeger. A scholar is included among the top collaborators of Scott L. Zeger 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 Scott L. Zeger. Scott L. Zeger 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
# Work Indexed citations
1 1
2 1
3 0
4 15
5 5
6 1
7 17
8 7
9 2
10 5
11 39
12 4
13 5
14 19
15 2
16
It's no longer a pipeline problem, so what are the root causes?
4
17
So Few Women Leaders.
22
18 286
19 66
20 7

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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