Y. H. George

591 total citations
10 papers, 420 citations indexed

About

Y. H. George is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Y. H. George has authored 10 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 5 papers in Management Science and Operations Research and 4 papers in Economics and Econometrics. Recurrent topics in Y. H. George's work include Statistical Methods in Clinical Trials (9 papers), Optimal Experimental Design Methods (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Y. H. George is often cited by papers focused on Statistical Methods in Clinical Trials (9 papers), Optimal Experimental Design Methods (5 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Y. H. George collaborates with scholars based in United States and United Kingdom. Y. H. George's co-authors include Qing Liu, Mark D. Rothmann, Gang Chen, Ning Li, Robert Temple, Hsiao‐Hui Tsou, Raymond J. Lipicky, Janet D. Elashoff, H. M. James Hung and Qing Liu and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of Biopharmaceutical Statistics.

In The Last Decade

Y. H. George

10 papers receiving 388 citations

Peers

Y. H. George

SP

MSOR

EE

SPU

PRM

Carl‐Fredrik Burman Sweden

H. M. James Hung United States

Ping Gao China

Cornelia Dunger‐Baldauf Switzerland

Tie‐Hua Ng United States

Jeff Maca United States

H. Amy Xia United States

Cong Chen United States

Zoran Antonijevic United States

Dominic Magirr United Kingdom

Carl‐Fredrik Burman Sweden

Y. H. George

366 ×1.2

SP

143 ×1.0

MSOR

171 ×1.6

EE

56 ×0.8

SPU

38 ×1.1

PRM

Citations per year, relative to Y. H. George Y. H. George (= 1×) peers Carl‐Fredrik Burman

Countries citing papers authored by Y. H. George

Since Specialization

Citations

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

Fields of papers citing papers by Y. H. George

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. H. George. 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 Y. H. George. The network helps show where Y. H. George may publish in the future.

Co-authorship network of co-authors of Y. H. George

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

George, Y. H., et al.. (2010). Understanding the FDA Guidance on Adaptive Designs: Historical, Legal, and Statistical Perspectives. Journal of Biopharmaceutical Statistics. 20(6). 1178–1219. 8 indexed citations

2.

George, Y. H., et al.. (2007). A method for testing a prespecified subgroup in clinical trials. Statistics in Medicine. 26(19). 3535–3549. 74 indexed citations

3.

George, Y. H.. (2006). George Chi's Discussion of the “Executive Summary of the PhRMA Working Group on Adaptive Designs in Clinical Drug Development” By Christy Chuang-Stein, Vladimir Dragalin, Brenda Gaydos, Michael Krams, and José Pinheiro. Journal of Biopharmaceutical Statistics. 16(3). 285–286. 4 indexed citations

4.

Sridhara, Rajeshwari, Gang Chen, Y. H. George, & Donna Griebel. (2004). Evaluation of Health-Related Quality-of-Life Measures in Oncology Drug Product Applications: Issues and Concerns. Journal of Biopharmaceutical Statistics. 14(1). 23–30. 6 indexed citations

5.

Rothmann, Mark D., Ning Li, Gang Chen, et al.. (2002). Design and analysis of non‐inferiority mortality trials in oncology. Statistics in Medicine. 22(2). 239–264. 179 indexed citations

6.

Liu, Qing & Y. H. George. (2001). On Sample Size and Inference for Two‐Stage Adaptive Designs. Biometrics. 57(1). 172–177. 76 indexed citations

7.

George, Y. H. & Qing Liu. (1999). THE ATTRACTIVENESS OF THE CONCEPT OF A PROSPECTIVELY DESIGNED TWO-STAGE CLINICAL TRIAL. Journal of Biopharmaceutical Statistics. 9(4). 537–547. 10 indexed citations

8.

George, Y. H.. (1998). Multiple Testings: Multiple Comparisons and Multiple Endpoints. Drug Information Journal. 32(1_suppl). 1347S–1362S. 27 indexed citations

9.

Hung, H. M. James, Tie‐Hua Ng, Y. H. George, & Raymond J. Lipicky. (1990). Response Surface and Factorial Designs for Combination Antihypertensive Drugs. Drug Information Journal. 24(2). 371–378. 20 indexed citations

10.

Elashoff, Janet D., Gary G. Koch, & Y. H. George. (1988). Designing a clinical trial to demonstrate prevention of ulcer recurrence: Modelling simulation approaches. Statistics in Medicine. 7(8). 877–888. 16 indexed citations

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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