Mark Chang
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
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- Meta-analysis and systematic reviews
Papers in
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- Statistical Methods in Clinical Trials 33
- Statistical Methods and Bayesian Inference 4
- Advanced Causal Inference Techniques 3
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- Optimal Experimental Design Methods 14
- Co-authors
- Shein‐Chung Chow (7 shared papers)Annpey Pong (1 shared paper)Sandeep Menon (4 shared papers)Claudio Carini (1 shared paper)Jun Shao (1 shared paper)Gheorghe Doros (1 shared paper)Robin Bliss (2 shared papers)Michael P. LaValley (2 shared papers)
- Journals
- Journal of Biopharmaceutical Statistics (11 papers)Statistics in Biopharmaceutical Research (5 papers)Statistics in Medicine (2 papers)Contemporary Clinical Trials (1 paper)Pharmaceutical Statistics (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Mark Chang
42 papers receiving 670 citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 441
- Statistics, Probability and Uncertainty 109
- Management Science and Operations Research 179
- Economics and Econometrics 165
- Health Informatics 7
Countries citing papers authored by Mark Chang
This map shows the geographic impact of Mark Chang'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 Mark Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chang more than expected).
Fields of papers citing papers by Mark Chang
This network shows the impact of papers produced by Mark Chang. 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 Mark Chang. The network helps show where Mark Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 291 | |
| 2 | 2005 | 68 | |
| 3 | 2006 | 57 | |
| 4 | 2011 | 48 | |
| 5 | 2014 | 28 | |
| 6 | 2006 | 22 | |
| 7 | 2005 | 17 | |
| 8 | 2014 | 17 | |
| 9 | 2016 | 15 | |
| 10 | 2012 | 14 | |
| 11 | Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies | 2010 | 12 |
| 12 | 2005 | 12 | |
| 13 | 2008 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2014 | 7 | |
| 18 | 2011 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2007 | 5 |
About Mark Chang
Mark Chang is a scholar working on Statistics and Probability, Management Science and Operations Research, Computational Theory and Mathematics, Economics and Econometrics and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 712 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (33 papers), Optimal Experimental Design Methods (14 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Robotic Path Planning Algorithms (5 papers), Statistical Methods and Bayesian Inference (4 papers), Computational Drug Discovery Methods (4 papers), Biosimilars and Bioanalytical Methods (3 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Statistics and Probability (441 citations), Statistics, Probability and Uncertainty (109 citations), Management Science and Operations Research (179 citations), Economics and Econometrics (165 citations) and Health Informatics (7 citations). Mark Chang has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Shein‐Chung Chow, Annpey Pong, Sandeep Menon, Claudio Carini, Jun Shao, Gheorghe Doros, Robin Bliss, Michael P. LaValley, G. À. Whitmore and Gordon Wyeth. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Biopharmaceutical Research, Statistics in Medicine, Contemporary Clinical Trials and Pharmaceutical Statistics.
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.