Laurence A. Baxter
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Safety, Risk, Reliability and Quality top 0.5%
- Management Science and Operations Research top 1%
- Co-authors
- Martin L. PutermanArnold O. AllenXavier GuyonChul KimErnest M. ScheuerWallace R. BlischkeDenis J. McConalogueLinxiong Li
- Topics
- Statistical Distribution Estimation and Applications (21 papers)Reliability and Maintenance Optimization (16 papers)Probabilistic and Robust Engineering Design (10 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Laurence A. Baxter
59 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Networks and Communications 789
- Artificial Intelligence 703
- Electrical and Electronic Engineering 572
- Safety, Risk, Reliability and Quality 418
- Management Science and Operations Research 401
Countries citing papers authored by Laurence A. Baxter
This map shows the geographic impact of Laurence 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 Laurence 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 Laurence A. Baxter more than expected).
Fields of papers citing papers by Laurence A. Baxter
This network shows the impact of papers produced by Laurence 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 Laurence A. Baxter. The network helps show where Laurence A. Baxter may publish in the future.
Co-authorship network of co-authors of Laurence A. Baxter
This figure shows the co-authorship network connecting the top 25 collaborators of Laurence A. Baxter. A scholar is included among the top collaborators of Laurence A. Baxter 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 Laurence A. Baxter. Laurence A. Baxter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 93 | |
| 5 | Non-parametric Confidence Intervals for the Renewal Function and the Point Availability | 17 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 17 | |
| 19 | 1 | |
| 20 | 2 |
About Laurence A. Baxter
Laurence A. Baxter is a scholar working on Statistics and Probability, Software and Statistics, Probability and Uncertainty, having authored 61 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (21 papers), Reliability and Maintenance Optimization (16 papers) and Probabilistic and Robust Engineering Design (10 papers). The work is most often cited by research in Software (198 citations), Statistics and Probability (401 citations) and Safety, Risk, Reliability and Quality (418 citations). Laurence A. Baxter has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Martin L. Puterman, Arnold O. Allen, Xavier Guyon, Chul Kim, Ernest M. Scheuer, Wallace R. Blischke, Denis J. McConalogue, Linxiong Li, Michael Tortorella and Masaaki Kijima. Their work appears in journals such as Technometrics, European Journal of Operational Research and Biometrika.
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.