Jamie Hayes
About
In The Last Decade
Jamie Hayes
21 papers receiving 640 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 502
- Computer Vision and Pattern Recognition 249
- Signal Processing 80
- Computer Networks and Communications 70
- Information Systems 38
Countries citing papers authored by Jamie Hayes
This map shows the geographic impact of Jamie Hayes'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 Jamie Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Hayes more than expected).
Fields of papers citing papers by Jamie Hayes
This network shows the impact of papers produced by Jamie Hayes. 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 Jamie Hayes. The network helps show where Jamie Hayes may publish in the future.
Co-authorship network of co-authors of Jamie Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Hayes. A scholar is included among the top collaborators of Jamie Hayes 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 Jamie Hayes. Jamie Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 41 | |
| 6 | A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES | 4 |
| 7 | 231 | |
| 8 | LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks. | 34 |
| 9 | 5 | |
| 10 | 2 | |
| 11 | Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples. | 18 |
| 12 | ste-GAN-ography: Generating Steganographic Images via Adversarial Training. | 3 |
| 13 | 47 | |
| 14 | 4 | |
| 15 | Website fingerprinting at scale | 2 |
| 16 | Better open-world website fingerprinting. | 3 |
| 17 | 6 | |
| 18 | 0 | |
| 19 | Machine intelligence 12: towards an automated logic of human thought | 4 |
| 20 | Machine intelligence 11 | 43 |
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.