Michael Pearce
Impact in
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- Simulation Techniques and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Bandit Algorithms Research 4
- Simulation Techniques and Applications 4
- Auction Theory and Applications 2
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- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Juergen BrankeAshwin RamRonald C. ArkinGary BooneMatthias PoloczekDavid ErikssonR.D. TurnerJacob R. Gardner
- Journals
- ACM Transactions on Modeling and Computer Simulation (1 paper)Adaptive Behavior (1 paper)Pharmaceutical Statistics (1 paper)European Journal of Operational Research (1 paper)BMC Medical Research Methodology (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Michael Pearce
16 papers receiving 225 citations
Peers
Comparison fields: 5 of 68
- Management Science and Operations Research 55
- Computational Theory and Mathematics 63
- Artificial Intelligence 107
- Statistics, Probability and Uncertainty 19
- Computer Vision and Pattern Recognition 54
Countries citing papers authored by Michael Pearce
This map shows the geographic impact of Michael Pearce'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 Michael Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pearce more than expected).
Fields of papers citing papers by Michael Pearce
This network shows the impact of papers produced by Michael Pearce. 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 Michael Pearce. The network helps show where Michael Pearce may publish in the future.
Co-authors
The 18 scholars most cited alongside Michael Pearce, 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 | 2022 | 10 | |
| 2 | 2020 | 2 | |
| 3 | The Gaussian Process Prior VAE for Interpretable Latent Dynamics from Pixels | 2019 | 3 |
| 4 | 2019 | 64 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 6 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 8 | |
| 13 | 2017 | 8 | |
| 14 | Efficient information collection on portfolios | 2017 | 2 |
| 15 | 2005 | 2 | |
| 16 | 1994 | 75 |
About Michael Pearce
Michael Pearce is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence, Statistics, Probability and Uncertainty and Software, having authored 16 papers that have together received 235 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (7 papers), Gaussian Processes and Bayesian Inference (6 papers), Advanced Bandit Algorithms Research (4 papers), Simulation Techniques and Applications (4 papers), AI-based Problem Solving and Planning (2 papers), Machine Learning and Algorithms (2 papers), Auction Theory and Applications (2 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Management Science and Operations Research (55 citations), Computational Theory and Mathematics (63 citations), Artificial Intelligence (107 citations), Statistics, Probability and Uncertainty (19 citations) and Computer Vision and Pattern Recognition (54 citations). Michael Pearce has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Juergen Branke, Ashwin Ram, Ronald C. Arkin, Gary Boone, Matthias Poloczek, David Eriksson, R.D. Turner, Jacob R. Gardner, Jason Madan and Simon Day. Their work appears in journals such as ACM Transactions on Modeling and Computer Simulation, Adaptive Behavior, Pharmaceutical Statistics, European Journal of Operational Research and BMC Medical Research Methodology.
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.