Yan Karklin
About
In The Last Decade
Yan Karklin
11 papers receiving 394 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 267
- Computer Vision and Pattern Recognition 162
- Artificial Intelligence 80
- Signal Processing 78
- Biophysics 44
Countries citing papers authored by Yan Karklin
This map shows the geographic impact of Yan Karklin'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 Yan Karklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Karklin more than expected).
Fields of papers citing papers by Yan Karklin
This network shows the impact of papers produced by Yan Karklin. 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 Yan Karklin. The network helps show where Yan Karklin may publish in the future.
Co-authorship network of co-authors of Yan Karklin
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Karklin. A scholar is included among the top collaborators of Yan Karklin 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 Yan Karklin. Yan Karklin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation | 1 |
| 2 | Hierarchical spike coding of sound. | 5 |
| 3 | Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. | 46 |
| 4 | 141 | |
| 5 | Hierarchical statistical models of computation in the visual cortex | 4 |
| 6 | 109 | |
| 7 | Is Early Vision Optimized for Extracting Higher-order Dependencies? | 11 |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 77 | |
| 11 | A Model for Learning Variance Components of Natural Images | 3 |
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.