Greg Shakhnarovich
About
In The Last Decade
Greg Shakhnarovich
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 1.4k
- Media Technology 733
- Human-Computer Interaction 127
- Computational Mechanics 119
- Computer Graphics and Computer-Aided Design 105
Countries citing papers authored by Greg Shakhnarovich
This map shows the geographic impact of Greg Shakhnarovich'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 Greg Shakhnarovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Shakhnarovich more than expected).
Fields of papers citing papers by Greg Shakhnarovich
This network shows the impact of papers produced by Greg Shakhnarovich. 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 Greg Shakhnarovich. The network helps show where Greg Shakhnarovich may publish in the future.
Co-authorship network of co-authors of Greg Shakhnarovich
This figure shows the co-authorship network connecting the top 25 collaborators of Greg Shakhnarovich. A scholar is included among the top collaborators of Greg Shakhnarovich 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 Greg Shakhnarovich. Greg Shakhnarovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation breakdown → | 165 |
| 6 | 39 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | 19 | |
| 11 | 76 | |
| 12 | 67 | |
| 13 | 39 | |
| 14 | Deep Back-Projection Networks for Super-Resolution breakdown → | 1078 |
| 15 | 51 | |
| 16 | Self-Supervised Depth Learning for Urban Scene Understanding | 1 |
| 17 | Discriminative Metric Learning by Neighborhood Gerrymandering | 4 |
| 18 | 21 | |
| 19 | Locally Weighted Regression | 15 |
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.