Samuel Kaski
About
In The Last Decade
Samuel Kaski
277 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Artificial Intelligence 3.2k
- Computer Vision and Pattern Recognition 2.1k
- Molecular Biology 1.6k
- Information Systems 963
- Signal Processing 774
Countries citing papers authored by Samuel Kaski
This map shows the geographic impact of Samuel Kaski'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 Samuel Kaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Kaski more than expected).
Fields of papers citing papers by Samuel Kaski
This network shows the impact of papers produced by Samuel Kaski. 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 Samuel Kaski. The network helps show where Samuel Kaski may publish in the future.
Co-authorship network of co-authors of Samuel Kaski
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Kaski. A scholar is included among the top collaborators of Samuel Kaski 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 Samuel Kaski. Samuel Kaski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | Differentially Private Bayesian Inference for Generalized Linear Models | 4 |
| 7 | 50 | |
| 8 | 10 | |
| 9 | Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach | 1 |
| 10 | Variational zero-inflated Gaussian processes with sparse kernels | 1 |
| 11 | Localized Lasso for High-Dimensional Regression | 8 |
| 12 | Latent Correlation Gaussian Processes | 1 |
| 13 | 14 | |
| 14 | Bayesian Networks for Variable Groups | 1 |
| 15 | Bayesian CCA via Group Sparsity | 38 |
| 16 | 31 | |
| 17 | Inferring vertex properties from topology in large networks | 10 |
| 18 | 60 | |
| 19 | Informative discriminant analysis | 26 |
| 20 | Self-organizing maps of document collections: A new approach to interactive exploration | 111 |
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.