Peter Orbanz
About
In The Last Decade
Peter Orbanz
12 papers receiving 288 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 169
- Statistical and Nonlinear Physics 79
- Statistics and Probability 77
- Computer Vision and Pattern Recognition 57
- Signal Processing 49
Countries citing papers authored by Peter Orbanz
This map shows the geographic impact of Peter Orbanz'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 Peter Orbanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Orbanz more than expected).
Fields of papers citing papers by Peter Orbanz
This network shows the impact of papers produced by Peter Orbanz. 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 Peter Orbanz. The network helps show where Peter Orbanz may publish in the future.
Co-authorship network of co-authors of Peter Orbanz
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Orbanz. A scholar is included among the top collaborators of Peter Orbanz 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 Peter Orbanz. Peter Orbanz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Compressibility and Generalization in Large-Scale Deep Learning. | 2 |
| 3 | 87 | |
| 4 | Random function priors for exchangeable arrays with applications to graphs and relational data | 44 |
| 5 | 2 | |
| 6 | Dependent Indian Buffet Processes | 25 |
| 7 | Construction of Nonparametric Bayesian Models from Parametric Bayes Equations | 12 |
| 8 | 2 | |
| 9 | 57 | |
| 10 | 71 | |
| 11 | Smooth Image Segmentation by Nonparametric Bayesian Inference | 3 |
| 12 | 5 |
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.