David M. Zucker

8.9k citations
92 papers · 3.9k indexed · 1 hit paper · h-index 31
Topics
Statistical Methods and Inference (28 papers)Statistical Methods and Bayesian Inference (26 papers)Statistical Methods in Clinical Trials (18 papers)

In The Last Decade

David M. Zucker

91 papers receiving 3.7k citations

Hit Papers

Effect of coronary artery bypass graft surgery on surviva...199420262004201519944008001.2k

Peers

David M. Zucker
Comparison fields: 5 of 167
  • Cardiology and Cardiovascular Medicine 1.2k
  • Statistics and Probability 1.1k
  • Surgery 945
  • Radiology, Nuclear Medicine and Imaging 675
  • Economics and Econometrics 433
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John Concato United States
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David M. Zucker relative to John Concato United States John Concato's profile →
Citations per field
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Citations per year

Countries citing papers authored by David M. Zucker

Since Specialization
Citations

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

Fields of papers citing papers by David M. Zucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Zucker. 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 David M. Zucker. The network helps show where David M. Zucker may publish in the future.

Co-authorship network of co-authors of David M. Zucker

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Zucker. A scholar is included among the top collaborators of David M. Zucker 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 David M. Zucker. David M. Zucker 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 11
2 1
3 16
4 46
5 35
6 11
7 12
8 13
9 5
10 37
11 54
12 17
13 9
14
Valid asymptotic expansions for the maximum likelihood estimator of the parameter of a stationary, Gaussian, strongly dependent process
18
15 85
16 5
17 31
18 7
19
Effect of coronary artery bypass graft surgery on survival: overview of 10-year results from randomised trials by the Coronary Artery Bypass Graft Surgery Trialists Collaborationbreakdown →
1378
20 3

About David M. Zucker

David M. Zucker is a scholar working on Statistics and Probability, Speech and Hearing and Emergency Medical Services, having authored 92 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Statistical Methods and Bayesian Inference (26 papers) and Statistical Methods in Clinical Trials (18 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Radiology, Nuclear Medicine and Imaging (675 citations). David M. Zucker has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Salim Yusuf, Eugene R. Passamani, R M Norris, Peter Peduzzi, John W. Kennedy, Timothy Takaro, Thomas Killip, T. C. Chalmers, Virendra S. Mathur and E Varnauskas. Their work appears in journals such as The Lancet, Journal of the American Statistical Association and PEDIATRICS.

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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