Malcolm J. A. Strens
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Control and Systems Engineering
- Co-authors
- Andrew MooreIan GregoryTimothy S. BakerMartin WehlingJavaan ChahlAkiko MizutaniKeith L. LewisRebecca Wilson
- Topics
- Reinforcement Learning in Robotics (5 papers)Target Tracking and Data Fusion in Sensor Networks (3 papers)Infrared Target Detection Methodologies (3 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputational Theory and Mathematics
- Journals
- Journal of Machine Learning ResearchImage and Vision ComputingInternational Conference on Automated Planning and Scheduling
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Malcolm J. A. Strens
15 papers receiving 252 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 182
- Management Science and Operations Research 78
- Computer Vision and Pattern Recognition 37
- Computational Theory and Mathematics 35
- Control and Systems Engineering 29
Countries citing papers authored by Malcolm J. A. Strens
This map shows the geographic impact of Malcolm J. A. Strens'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 Malcolm J. A. Strens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm J. A. Strens more than expected).
Fields of papers citing papers by Malcolm J. A. Strens
This network shows the impact of papers produced by Malcolm J. A. Strens. 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 Malcolm J. A. Strens. The network helps show where Malcolm J. A. Strens may publish in the future.
Co-authorship network of co-authors of Malcolm J. A. Strens
This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm J. A. Strens. A scholar is included among the top collaborators of Malcolm J. A. Strens 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 Malcolm J. A. Strens. Malcolm J. A. Strens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | Combining stochastic task models with reinforcement learning for dynamic scheduling | 0 |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | Policy search using paired comparisons | 21 |
| 10 | Evolutionary MCMC sampling and optimization in discrete spaces | 18 |
| 11 | 8 | |
| 12 | Markov Chain Monte Carlo Sampling using Direct Search Optimization | 14 |
| 13 | Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems. | 1 |
| 14 | 6 | |
| 15 | 0 | |
| 16 | Direct Policy Search using Paired Statistical Tests. | 10 |
| 17 | 169 | |
| 18 | 1 |
About Malcolm J. A. Strens
Malcolm J. A. Strens is a scholar working on Artificial Intelligence, Instrumentation and Aerospace Engineering, having authored 18 papers that have together received 275 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Management Science and Operations Research (78 citations), Artificial Intelligence (182 citations) and Computational Theory and Mathematics (35 citations). Malcolm J. A. Strens has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew Moore, Ian Gregory, Timothy S. Baker, Martin Wehling, Javaan Chahl, Akiko Mizutani, Keith L. Lewis, Rebecca Wilson, Michael T. Eismann and Chris Slinger. Their work appears in journals such as Journal of Machine Learning Research, Image and Vision Computing and International Conference on Automated Planning and Scheduling.
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.