Mark G. Low
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
Papers in
-
- Statistical Methods and Inference 23
- Advanced Statistical Methods and Models 7
-
- Control Systems and Identification 10
- Co-authors
- Lawrence D. Brown (5 shared papers)Tommaso Cai (11 shared papers)David L. Donoho (1 shared paper)Sam Efromovich (3 shared papers)Linda Zhao (3 shared papers)Cun‐Hui Zhang (1 shared paper)Xia Yin (1 shared paper)Zongming Ma (1 shared paper)
- Journals
- The Annals of Statistics (18 papers)Bernoulli (2 papers)Probability Theory and Related Fields (1 paper)Acta Arithmetica (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Mark G. Low
28 papers receiving 716 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 581
- Statistics, Probability and Uncertainty 96
- Numerical Analysis 65
- Applied Mathematics 120
- Finance 113
Countries citing papers authored by Mark G. Low
This map shows the geographic impact of Mark G. Low'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 G. Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Low more than expected).
Fields of papers citing papers by Mark G. Low
This network shows the impact of papers produced by Mark G. Low. 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 G. Low. The network helps show where Mark G. Low may publish in the future.
Co-authors
The 9 scholars most cited alongside Mark G. Low, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 229 | |
| 2 | 1996 | 76 | |
| 3 | 1992 | 75 | |
| 4 | 1997 | 66 | |
| 5 | 2002 | 44 | |
| 6 | 1997 | 38 | |
| 7 | 2005 | 28 | |
| 8 | 2011 | 27 | |
| 9 | 1996 | 23 | |
| 10 | 1968 | 21 | |
| 11 | 2013 | 20 | |
| 12 | 2014 | 19 | |
| 13 | 1994 | 18 | |
| 14 | 1991 | 13 | |
| 15 | 1995 | 13 | |
| 16 | 1996 | 12 | |
| 17 | 1992 | 12 | |
| 18 | 2014 | 12 | |
| 19 | AN ADAPTATION THEORY FOR NONPARAMETRIC CONFIDENCE INTERVALS1 | 2015 | 11 |
| 20 | 2009 | 10 |
About Mark G. Low
Mark G. Low is a scholar working on Statistics and Probability, Control and Systems Engineering, Applied Mathematics, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 29 papers that have together received 812 indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Control Systems and Identification (10 papers), Advanced Statistical Methods and Models (7 papers), Advanced Statistical Process Monitoring (3 papers), Mathematical Approximation and Integration (3 papers), Bayesian Methods and Mixture Models (3 papers), Statistical and numerical algorithms (2 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Statistics and Probability (581 citations), Statistics, Probability and Uncertainty (96 citations), Numerical Analysis (65 citations), Applied Mathematics (120 citations) and Finance (113 citations). Mark G. Low has collaborated with scholars based in United States and South Korea. Frequent co-authors include Lawrence D. Brown, Tommaso Cai, David L. Donoho, Sam Efromovich, Linda Zhao, Cun‐Hui Zhang, Xia Yin, Zongming Ma and Harrison H. Zhou. Their work appears in journals such as The Annals of Statistics, Bernoulli, Probability Theory and Related Fields, Acta Arithmetica and Journal of the American Statistical 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.