Cameron E. Freer
Impact in
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- Advanced Thermodynamics and Statistical Mechanics
- Statistical Mechanics and Entropy
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- Computability, Logic, AI Algorithms
Papers in
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- Computability, Logic, AI Algorithms 12
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- Logic, Reasoning, and Knowledge 4
- Algorithms and Data Compression 3
- Bayesian Modeling and Causal Inference 2
- Co-authors
- Daniel M. Roy (7 shared papers)Diana Cai (1 shared paper)Jeremy Avigad (1 shared paper)Sam Staton (2 shared papers)Z. Shelby (1 shared paper)Martin Rinard (1 shared paper)Jaroslav Nešetřil (1 shared paper)Vikash K. Mansinghka (2 shared papers)
- Journals
- Annals of Pure and Applied Logic (2 papers)Proceedings of the ACM on Programming Languages (2 papers)Mathematical Structures in Computer Science (1 paper)Physical Review Letters (1 paper)Logica Universalis (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Cameron E. Freer
19 papers receiving 203 citations
Peers
Comparison fields: 5 of 73
- Statistical and Nonlinear Physics 42
- Computational Theory and Mathematics 45
- Artificial Intelligence 72
- Statistics and Probability 17
- Management Science and Operations Research 20
Countries citing papers authored by Cameron E. Freer
This map shows the geographic impact of Cameron E. Freer'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 Cameron E. Freer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron E. Freer more than expected).
Fields of papers citing papers by Cameron E. Freer
This network shows the impact of papers produced by Cameron E. Freer. 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 Cameron E. Freer. The network helps show where Cameron E. Freer may publish in the future.
Co-authors
The 10 scholars most cited alongside Cameron E. Freer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Causal Entropic Forces | 2013 | 149 |
| 2 | 2011 | 24 | |
| 3 | 2011 | 12 | |
| 4 | 2019 | 9 | |
| 5 | 2013 | 7 | |
| 6 | 2016 | 7 | |
| 7 | 2010 | 4 | |
| 8 | Posterior distributions are computable from predictive distributions | 2010 | 3 |
| 9 | 2016 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2013 | 1 | |
| 15 | The Beta-Bernoulli process and algebraic effects | 2018 | 1 |
| 16 | Models with High Scott Rank | 2008 | 1 |
| 17 | 2015 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Cameron E. Freer
Cameron E. Freer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Mathematical Physics, Geometry and Topology and Statistical and Nonlinear Physics, having authored 21 papers that have together received 230 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (12 papers), Advanced Topology and Set Theory (5 papers), Logic, Reasoning, and Knowledge (4 papers), Mathematical Dynamics and Fractals (4 papers), Algorithms and Data Compression (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (42 citations), Computational Theory and Mathematics (45 citations), Artificial Intelligence (72 citations), Statistics and Probability (17 citations) and Management Science and Operations Research (20 citations). Cameron E. Freer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Daniel M. Roy, Diana Cai, Jeremy Avigad, Sam Staton, Z. Shelby, Martin Rinard, Jaroslav Nešetřil, Vikash K. Mansinghka, Jason Rute and Hongseok Yang. Their work appears in journals such as Annals of Pure and Applied Logic, Proceedings of the ACM on Programming Languages, Mathematical Structures in Computer Science, Physical Review Letters and Logica Universalis.
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.