K. K. Gordon Lan
- Statistics and Probability top 0.05%
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 1%
- Statistics, Probability and Uncertainty top 0.2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- David L. DeMetsJanet WittesMax HalperinRichard SimonEdward LakatosDavid M. ZuckerStephen E. EpsteinStephen L. Bacharach
- Topics
- Statistical Methods in Clinical Trials (48 papers)Optimal Experimental Design Methods (18 papers)Advanced Causal Inference Techniques (16 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
K. K. Gordon Lan
59 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Statistics and Probability 2.9k
- Management Science and Operations Research 1.1k
- Economics and Econometrics 1.0k
- Statistics, Probability and Uncertainty 810
- Cardiology and Cardiovascular Medicine 624
Countries citing papers authored by K. K. Gordon Lan
This map shows the geographic impact of K. K. Gordon Lan'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 K. K. Gordon Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. K. Gordon Lan more than expected).
Fields of papers citing papers by K. K. Gordon Lan
This network shows the impact of papers produced by K. K. Gordon Lan. 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 K. K. Gordon Lan. The network helps show where K. K. Gordon Lan may publish in the future.
Co-authorship network of co-authors of K. K. Gordon Lan
This figure shows the co-authorship network connecting the top 25 collaborators of K. K. Gordon Lan. A scholar is included among the top collaborators of K. K. Gordon Lan 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 K. K. Gordon Lan. K. K. Gordon Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 34 | |
| 7 | 142 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 73 | |
| 11 | 2 | |
| 12 | 326 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 82 | |
| 16 | 63 | |
| 17 | 101 | |
| 18 | 1 | |
| 19 | 15 | |
| 20 | 22 |
About K. K. Gordon Lan
K. K. Gordon Lan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 61 papers that have together received 5.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (48 papers), Optimal Experimental Design Methods (18 papers) and Advanced Causal Inference Techniques (16 papers). The work is most often cited by research in Statistics and Probability (2.9k citations), Statistics, Probability and Uncertainty (810 citations) and Management Science and Operations Research (1.1k citations). K. K. Gordon Lan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include David L. DeMets, David L. DeMets, Janet Wittes, Max Halperin, Richard Simon, Edward Lakatos, David M. Zucker, Stephen E. Epstein, Stephen L. Bacharach and Robert O. Bonow. Their work appears in journals such as New England Journal of Medicine, Circulation and Biometrics.
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.