Dan Anbar

422 citations
20 papers · 326 · h-index 12

Impact in

Papers in

Dan Anbar

19 papers receiving 275 citations

Peers

Dan Anbar
Comparison fields: 5 of 95
  • Statistics and Probability 128
  • Management Science and Operations Research 78
  • Statistics, Probability and Uncertainty 34
  • Endocrinology, Diabetes and Metabolism 33
  • Pulmonary and Respiratory Medicine 44
Replace Choongrak Kim with:
Choongrak Kim South Korea
Bohdana Ratitch United States
Esra Akdenız Türkiye
Woncheol Jang South Korea
Giuseppe Sanfilippo Italy
Laura Azzimonti Switzerland
Dai Feng United States
Yuval Nardi Israel
K. F. Cheng Taiwan
Monica Chiogna Italy
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Citations per field
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Citations per year

Countries citing papers authored by Dan Anbar

Since Specialization
Citations

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

Fields of papers citing papers by Dan Anbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Dan Anbar, 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 Dan Anbar Line = papers co-authored together Dan Anbar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198564
2 197830
3
The relative efficiency of Zelen's prerandomization design for clinical trials.
198326
4 197626
5 198424
6 198324
7 198324
8 198221
9 197321
10 197613
11 197812
12 199411
13 19779
14 19776
15 20034
16 19943
17 19782
18
Cancer and leukemia group B phase II non-small cell lung carcinoma trial: aziridinylbenzoquinone (AZQ).
19832
19
Phase II trial of bisantrene in advanced colorectal cancer: a cancer and leukemia group B study.
19822
20 19762

About Dan Anbar

Dan Anbar is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 20 papers that have together received 326 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Statistical Methods in Clinical Trials (5 papers), Statistical Methods and Bayesian Inference (2 papers), Statistics Education and Methodologies (2 papers), Advanced Statistical Process Monitoring (2 papers), Risk and Portfolio Optimization (2 papers), Stochastic processes and financial applications (1 paper) and Color Science and Applications (1 paper). The work is most often cited by research in Statistics and Probability (128 citations), Management Science and Operations Research (78 citations), Statistics, Probability and Uncertainty (34 citations), Endocrinology, Diabetes and Metabolism (33 citations) and Pulmonary and Respiratory Medicine (44 citations). Dan Anbar has collaborated with scholars based in United States and Israel. Frequent co-authors include William W. Hines, Douglas C. Montgomery, Andrew G. Glass, D. T. Max, Barry S. Stein, Gerald P. Murphy, John N. Wettlaufer, L. Michael Glode, Joseph A. Smith and Ehud Kalai. Their work appears in journals such as The Annals of Statistics, Biometrics, Journal of Statistical Planning and Inference, The American Statistician and Controlled Clinical Trials.

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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