Valentin Khrulkov
About
In The Last Decade
Valentin Khrulkov
9 papers receiving 144 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 95
- Computer Vision and Pattern Recognition 76
- Molecular Biology 18
- Signal Processing 15
- Electrical and Electronic Engineering 13
Countries citing papers authored by Valentin Khrulkov
This map shows the geographic impact of Valentin Khrulkov'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 Valentin Khrulkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Khrulkov more than expected).
Fields of papers citing papers by Valentin Khrulkov
This network shows the impact of papers produced by Valentin Khrulkov. 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 Valentin Khrulkov. The network helps show where Valentin Khrulkov may publish in the future.
Co-authorship network of co-authors of Valentin Khrulkov
This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Khrulkov. A scholar is included among the top collaborators of Valentin Khrulkov 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 Valentin Khrulkov. Valentin Khrulkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | Functional Space Analysis of Local GAN Convergence | 1 |
| 3 | On Disentangled Representations Extracted from Pretrained GANs | 1 |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | Geometry Score: A Method For Comparing Generative Adversarial Networks | 3 |
| 9 | 57 |
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.