Irving K. Hwang
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Economics and Econometrics
- Statistics, Probability and Uncertainty top 5%
- Surgery
- Co-authors
- John S. de CaniWeichung Joe ShihWeichung Joseph ShihA. Lawrence GouldMyron ChangE.S. LeeE. Stanley LeeChunlin Huang
- Topics
- Statistical Methods in Clinical Trials (5 papers)Optimal Experimental Design Methods (4 papers)Biosimilars and Bioanalytical Methods (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Statistics in MedicineInternational Journal of Engineering ScienceJAWRA Journal of the American Water Resources Association
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Irving K. Hwang
7 papers receiving 242 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 153
- Management Science and Operations Research 85
- Economics and Econometrics 56
- Statistics, Probability and Uncertainty 50
- Surgery 26
Countries citing papers authored by Irving K. Hwang
This map shows the geographic impact of Irving K. Hwang'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 Irving K. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irving K. Hwang more than expected).
Fields of papers citing papers by Irving K. Hwang
This network shows the impact of papers produced by Irving K. Hwang. 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 Irving K. Hwang. The network helps show where Irving K. Hwang may publish in the future.
Co-authorship network of co-authors of Irving K. Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Irving K. Hwang. A scholar is included among the top collaborators of Irving K. Hwang 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 Irving K. Hwang. Irving K. Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 19 | |
| 3 | 13 | |
| 4 | 136 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 5 |
About Irving K. Hwang
Irving K. Hwang is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 7 papers that have together received 264 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Optimal Experimental Design Methods (4 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Statistics and Probability (153 citations), Statistics, Probability and Uncertainty (50 citations) and Management Science and Operations Research (85 citations). Irving K. Hwang has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include John S. de Cani, Weichung Joe Shih, Weichung Joseph Shih, A. Lawrence Gould, Myron Chang, E.S. Lee, E. Stanley Lee, Chunlin Huang, Karen Walton–Bowen and Robert L. Davis. Their work appears in journals such as Statistics in Medicine, International Journal of Engineering Science and JAWRA Journal of the American Water Resources Association.
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.