John Lawson
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 2%
- Spectroscopy top 10%
- Statistics and Probability top 5%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Lawrence M. LeemisMilton L. LeeH. Dennis TolleyErin D. BiglerPankaj AggarwalKun LiuMikel HarryGary M. Burlingame
- Topics
- Optimal Experimental Design Methods (17 papers)Advanced Statistical Process Monitoring (9 papers)Statistical Methods in Clinical Trials (7 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
John Lawson
62 papers receiving 975 citations
Peers
Comparison fields: 5 of 174
- Biomedical Engineering 181
- Statistics, Probability and Uncertainty 146
- Spectroscopy 124
- Statistics and Probability 121
- Safety, Risk, Reliability and Quality 106
Countries citing papers authored by John Lawson
This map shows the geographic impact of John Lawson'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 John Lawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lawson more than expected).
Fields of papers citing papers by John Lawson
This network shows the impact of papers produced by John Lawson. 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 John Lawson. The network helps show where John Lawson may publish in the future.
Co-authorship network of co-authors of John Lawson
This figure shows the co-authorship network connecting the top 25 collaborators of John Lawson. A scholar is included among the top collaborators of John Lawson 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 John Lawson. John Lawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 16 | |
| 6 | 19 | |
| 7 | 21 | |
| 8 | 17 | |
| 9 | 20 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | Applications of Robust Regression Methods in Designed Industrial Experiments | 0 |
| 18 | 17 | |
| 19 | 1 | |
| 20 | Purulent meningitis in Papuan children. | 3 |
About John Lawson
John Lawson is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (17 papers), Advanced Statistical Process Monitoring (9 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (146 citations), Statistics and Probability (121 citations) and Software (48 citations). John Lawson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lawrence M. Leemis, Milton L. Lee, H. Dennis Tolley, Erin D. Bigler, Pankaj Aggarwal, Kun Liu, Mikel Harry, Gary M. Burlingame, Kun Liu and W. Peter Cockshott. Their work appears in journals such as Technometrics, Radiology and American Journal of Obstetrics and Gynecology.
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.