Frank Wood
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Michael J. BlackNoémie ElhadadRimma PerotteYee Whye TehJohn P. DonoghueMatthew FellowsJan GasthausKarthik Natarajan
- Topics
- Bayesian Methods and Mixture Models (15 papers)Gaussian Processes and Bayesian Inference (11 papers)Bayesian Modeling and Causal Inference (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMIEEE Transactions on Biomedical Engineering
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Frank Wood
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 733
- Cognitive Neuroscience 234
- Molecular Biology 186
- Computer Vision and Pattern Recognition 155
- Cellular and Molecular Neuroscience 144
Countries citing papers authored by Frank Wood
This map shows the geographic impact of Frank Wood'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 Frank Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Wood more than expected).
Fields of papers citing papers by Frank Wood
This network shows the impact of papers produced by Frank Wood. 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 Frank Wood. The network helps show where Frank Wood may publish in the future.
Co-authorship network of co-authors of Frank Wood
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Wood. A scholar is included among the top collaborators of Frank Wood 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 Frank Wood. Frank Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Improving Few-Shot Visual Classification with Unlabelled Examples | 1 |
| 3 | Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators | 0 |
| 4 | Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models. | 1 |
| 5 | Auto-Encoding Sequential Monte Carlo | 10 |
| 6 | Bayesian Distributed Stochastic Gradient Descent | 5 |
| 7 | Interpreting Lion Behaviour as Probabilistic Programs. | 1 |
| 8 | Super-sampling with a reservoir | 1 |
| 9 | Particle Gibbs with Ancestor Sampling for Probabilistic Programs | 3 |
| 10 | Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning | 6 |
| 11 | 28 | |
| 12 | Low rank continuous-space graphical models | 1 |
| 13 | Hierarchically Supervised Latent Dirichlet Allocation | 72 |
| 14 | Probabilistic Deterministic Infinite Automata | 11 |
| 15 | 8 | |
| 16 | Dependent Dirichlet Process Spike Sorting | 21 |
| 17 | Characterizing neural dependencies with copula models | 25 |
| 18 | A non-parametric Bayesian method for inferring hidden causes | 39 |
| 19 | 27 | |
| 20 | 120 |
About Frank Wood
Frank Wood is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Gaussian Processes and Bayesian Inference (11 papers) and Bayesian Modeling and Causal Inference (8 papers). The work is most often cited by research in Artificial Intelligence (733 citations), Health Information Management (59 citations) and Cognitive Neuroscience (234 citations). Frank Wood has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Michael J. Black, Noémie Elhadad, Rimma Perotte, Yee Whye Teh, John P. Donoghue, Matthew Fellows, Jan Gasthaus, Karthik Natarajan, Jan-Willem van de Meent and Rimma Pivovarov. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Biomedical Engineering.
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.