Karl Stratos
About
In The Last Decade
Karl Stratos
37 papers receiving 870 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 697
- Computer Vision and Pattern Recognition 496
- Information Systems 36
- Signal Processing 34
- Molecular Biology 21
Countries citing papers authored by Karl Stratos
This map shows the geographic impact of Karl Stratos'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 Karl Stratos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Stratos more than expected).
Fields of papers citing papers by Karl Stratos
This network shows the impact of papers produced by Karl Stratos. 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 Karl Stratos. The network helps show where Karl Stratos may publish in the future.
Co-authorship network of co-authors of Karl Stratos
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Stratos. A scholar is included among the top collaborators of Karl Stratos 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 Karl Stratos. Karl Stratos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 30 | |
| 3 | Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information | 2 |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 34 | |
| 8 | Domainless Adaptation by Constrained Decoding on a Schema Lattice. | 9 |
| 9 | Frustratingly Easy Neural Domain Adaptation | 45 |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 3 | |
| 13 | Spectral learning of latent-variable PCFGs: algorithms and sample complexity | 13 |
| 14 | A spectral algorithm for learning class-based n -gram models of natural language | 18 |
| 15 | Spectral Learning of Refinement HMMs | 8 |
| 16 | Spectral Learning of Latent-Variable PCFGs | 11 |
| 17 | 94 | |
| 18 | 251 | |
| 19 | Detecting Visual Text | 29 |
| 20 | Towards Adequate Knowledge and Natural Inference | 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.