Boaz J. Super
About
In The Last Decade
Boaz J. Super
31 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 695
- Cognitive Neuroscience 497
- Atomic and Molecular Physics, and Optics 171
- Media Technology 93
- Computer Graphics and Computer-Aided Design 82
Countries citing papers authored by Boaz J. Super
This map shows the geographic impact of Boaz J. Super'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 Boaz J. Super with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boaz J. Super more than expected).
Fields of papers citing papers by Boaz J. Super
This network shows the impact of papers produced by Boaz J. Super. 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 Boaz J. Super. The network helps show where Boaz J. Super may publish in the future.
Co-authorship network of co-authors of Boaz J. Super
This figure shows the co-authorship network connecting the top 25 collaborators of Boaz J. Super. A scholar is included among the top collaborators of Boaz J. Super 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 Boaz J. Super. Boaz J. Super is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 31 | |
| 3 | Shape Part Correspondence Using Chance Probability Functions. | 1 |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | 53 | |
| 9 | Generalization Accuracy of a Fast 2-D Shape Retrieval Method. | 2 |
| 10 | Fast Correspondence-Based System for 2-D Shape Classification. | 3 |
| 11 | 20 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | Edge co-occurrence in natural images predicts contour grouping performance breakdown → | 502 |
| 15 | 28 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 55 | |
| 19 | 104 | |
| 20 | Understanding images of textured surfaces | 1 |
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.