Wray Buntine
About
In The Last Decade
Wray Buntine
137 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 2.6k
- Information Systems 733
- Computer Vision and Pattern Recognition 502
- Computational Theory and Mathematics 311
- Statistical and Nonlinear Physics 300
Countries citing papers authored by Wray Buntine
This map shows the geographic impact of Wray Buntine'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 Wray Buntine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wray Buntine more than expected).
Fields of papers citing papers by Wray Buntine
This network shows the impact of papers produced by Wray Buntine. 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 Wray Buntine. The network helps show where Wray Buntine may publish in the future.
Co-authorship network of co-authors of Wray Buntine
This figure shows the co-authorship network connecting the top 25 collaborators of Wray Buntine. A scholar is included among the top collaborators of Wray Buntine 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 Wray Buntine. Wray Buntine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 45 | |
| 4 | Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences | 6 |
| 5 | A Word Embeddings Informed Focused Topic Model | 18 |
| 6 | 24 | |
| 7 | Improving Topic Coherence with Regularized Topic Models | 109 |
| 8 | Bayesian Networks on Dirichlet Distributed Vectors | 1 |
| 9 | Machine learning and knowledge discovery in databases : European conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009 : proceedings | 5 |
| 10 | Topic-specific link analysis using independent components for information retrieval | 0 |
| 11 | 75 | |
| 12 | Efficient Computing of Stochastic Complexity. | 14 |
| 13 | Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction? | 17 |
| 14 | Automatic Derivation of Statistical Algorithms: The EM Family and Beyond | 6 |
| 15 | Autonomous Science Decisions for Mars Sample Return | 4 |
| 16 | Analysing rock samples for the mars lander | 7 |
| 17 | 4 | |
| 18 | Graphical models for discovering knowledge | 38 |
| 19 | Intelligent instruments: discovering how to turn spectral data into information | 3 |
| 20 | Bayesian Back-Propagation. | 242 |
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.