L. A. Baxter
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications 2
- Statistics Education and Methodologies 1
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- Probability and Risk Models 2
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- Probabilistic and Robust Engineering Design 1
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- Reliability and Maintenance Optimization 3
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- Air Quality and Health Impacts 1
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- Bayesian Methods and Mixture Models 1
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- Advanced Queuing Theory Analysis 1
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)Insurance Mathematics and Economics (1 paper)IEEE Transactions on Reliability (1 paper)
- Partner nations
- United States
In The Last Decade
L. A. Baxter
8 papers receiving 197 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 50
- Management Science and Operations Research 34
- Statistics, Probability and Uncertainty 18
- Mathematical Physics 21
- Applied Mathematics 18
Countries citing papers authored by L. A. Baxter
This map shows the geographic impact of L. A. Baxter'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 L. A. Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. A. Baxter more than expected).
Fields of papers citing papers by L. A. Baxter
This network shows the impact of papers produced by L. A. Baxter. 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 L. A. Baxter. The network helps show where L. A. Baxter may publish in the future.
Co-authorship network
The 4 scholars most cited alongside L. A. Baxter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 3 | |
| 2 | 2002 | 1 | |
| 3 | 1998 | 1 | |
| 4 | 1996 | 119 | |
| 5 | 1995 | 2 | |
| 6 | 1991 | 48 | |
| 7 | 1990 | 40 | |
| 8 | 1989 | 3 |
About L. A. Baxter
L. A. Baxter is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Management Science and Operations Research, Statistics, Probability and Uncertainty and Management Information Systems, having authored 8 papers that have together received 217 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (3 papers), Statistical Distribution Estimation and Applications (2 papers), Probability and Risk Models (2 papers), Probabilistic and Robust Engineering Design (1 paper), Air Quality and Health Impacts (1 paper), Statistics Education and Methodologies (1 paper), Bayesian Methods and Mixture Models (1 paper) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Statistics and Probability (50 citations), Management Science and Operations Research (34 citations), Statistics, Probability and Uncertainty (18 citations), Mathematical Physics (21 citations) and Applied Mathematics (18 citations). L. A. Baxter has collaborated with scholars based in United States. Frequent co-authors include Robert G. Bartle, Michael Tortorella, Qiqing Yu and Stephen J. Finch. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Insurance Mathematics and Economics, IEEE Transactions on Reliability, Statistics & Risk Modeling and Journal of the Royal Statistical Society Series D (The Statistician).
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.