Lawrence M. Murray
- Artificial Intelligence top 10%
- Public Health, Environmental and Occupational Health
- Statistics and Probability top 5%
- Control and Systems Engineering
- Oceanography
- Co-authors
- Anthony LeePierre JacobEmlyn JonesAmos StorkeyPierre Del MoralPeter R. OkeFarhan RizwiLaith Yakob
- Topics
- Gaussian Processes and Bayesian Inference (6 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Statistical Methods and Bayesian Inference (5 papers)
- Journals
- IEEE Transactions on Signal ProcessingMechanical Systems and Signal ProcessingJournal of Statistical Software
- Partner nations
- AustraliaUnited KingdomSweden
In The Last Decade
Lawrence M. Murray
22 papers receiving 399 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 166
- Public Health, Environmental and Occupational Health 63
- Statistics and Probability 58
- Control and Systems Engineering 54
- Oceanography 51
Countries citing papers authored by Lawrence M. Murray
This map shows the geographic impact of Lawrence M. Murray'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 Lawrence M. Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence M. Murray more than expected).
Fields of papers citing papers by Lawrence M. Murray
This network shows the impact of papers produced by Lawrence M. Murray. 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 Lawrence M. Murray. The network helps show where Lawrence M. Murray may publish in the future.
Co-authorship network of co-authors of Lawrence M. Murray
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence M. Murray. A scholar is included among the top collaborators of Lawrence M. Murray 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 Lawrence M. Murray. Lawrence M. Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | rbi: R Interface to LibBi | 2 |
| 6 | 20 | |
| 7 | 59 | |
| 8 | 71 | |
| 9 | 21 | |
| 10 | 17 | |
| 11 | 14 | |
| 12 | Rethinking resampling in the particle filter on graphics processing units | 4 |
| 13 | 9 | |
| 14 | 3 | |
| 15 | 46 | |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 32 | |
| 19 | Continuous Time Particle Filtering for fMRI | 17 |
| 20 | An accurate PVT model for geothermal fluids as represented by H{sub 2}O-CO{sub 2}-NaCl mixtures | 1 |
About Lawrence M. Murray
Lawrence M. Murray is a scholar working on Statistics and Probability, Artificial Intelligence and Control and Systems Engineering, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Modeling and Simulation (43 citations), Statistics and Probability (58 citations) and Artificial Intelligence (166 citations). Lawrence M. Murray has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Anthony Lee, Pierre Jacob, Emlyn Jones, Amos Storkey, Pierre Del Moral, Peter R. Oke, Farhan Rizwi, Laith Yakob, Rosalind M. Eggo and W. John Edmunds. Their work appears in journals such as IEEE Transactions on Signal Processing, Mechanical Systems and Signal Processing and Journal of Statistical Software.
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.