Francis Hsuan
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Economics and Econometrics
- Psychiatry and Mental health
- Co-authors
- Daniel HolderAlbert J. GetsonTerry HyslopS. Krishna PadmanabhanVladimir DragalinPatricia LangenbergStephen R. SakladRichard Wagner
- Topics
- Statistical Methods in Clinical Trials (14 papers)Optimal Experimental Design Methods (9 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- United States
In The Last Decade
Francis Hsuan
19 papers receiving 385 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 228
- Management Science and Operations Research 140
- Computational Theory and Mathematics 128
- Economics and Econometrics 57
- Psychiatry and Mental health 49
Countries citing papers authored by Francis Hsuan
This map shows the geographic impact of Francis Hsuan'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 Francis Hsuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Hsuan more than expected).
Fields of papers citing papers by Francis Hsuan
This network shows the impact of papers produced by Francis Hsuan. 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 Francis Hsuan. The network helps show where Francis Hsuan may publish in the future.
Co-authorship network of co-authors of Francis Hsuan
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Hsuan. A scholar is included among the top collaborators of Francis Hsuan 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 Francis Hsuan. Francis Hsuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 84 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | Estimating treatment means in a mixed-effect ANOVA model for bioequivalence studies. | 10 |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 46 | |
| 14 | 60 | |
| 15 | 45 | |
| 16 | 38 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 17 |
About Francis Hsuan
Francis Hsuan is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 21 papers that have together received 423 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (14 papers), Optimal Experimental Design Methods (9 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Statistics and Probability (228 citations), Management Science and Operations Research (140 citations) and Computational Theory and Mathematics (128 citations). Francis Hsuan has collaborated with scholars based in United States. Frequent co-authors include Daniel Holder, Albert J. Getson, Terry Hyslop, S. Krishna Padmanabhan, Vladimir Dragalin, Patricia Langenberg, Stephen R. Saklad, Richard Wagner, Gilbert Honigfeld and Jack Hirschowitz. Their work appears in journals such as Biometrics, Biometrika and Statistics in Medicine.
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.