Cyrus Rashtchian
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Science Applications top 10%
- Computational Theory and Mathematics
- Co-authors
- Peter YoungJulia HockenmaierMicah HodoshMiklós Z. RáczSergey YekhaninKonstantin MakarychevEitan YaakobiPaul H. Siegel
- Topics
- DNA and Biological Computing (7 papers)Algorithms and Data Compression (7 papers)Adversarial Robustness in Machine Learning (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Science Applications
- Journals
- IEEE Transactions on Information TheoryThe Electronic Journal of CombinatoricsarXiv (Cornell University)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Cyrus Rashtchian
19 papers receiving 389 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 273
- Artificial Intelligence 209
- Molecular Biology 67
- Computer Science Applications 33
- Computational Theory and Mathematics 22
Countries citing papers authored by Cyrus Rashtchian
This map shows the geographic impact of Cyrus Rashtchian'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 Cyrus Rashtchian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyrus Rashtchian more than expected).
Fields of papers citing papers by Cyrus Rashtchian
This network shows the impact of papers produced by Cyrus Rashtchian. 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 Cyrus Rashtchian. The network helps show where Cyrus Rashtchian may publish in the future.
Co-authorship network of co-authors of Cyrus Rashtchian
This figure shows the co-authorship network connecting the top 25 collaborators of Cyrus Rashtchian. A scholar is included among the top collaborators of Cyrus Rashtchian 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 Cyrus Rashtchian. Cyrus Rashtchian 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | Robustness for Non-Parametric Classification: A Generic Attack and Defense | 1 |
| 9 | A Closer Look at Accuracy vs. Robustness | 1 |
| 10 | 1 | |
| 11 | 24 | |
| 12 | Adversarial Robustness Through Local Lipschitzness | 4 |
| 13 | 2 | |
| 14 | Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. | 2 |
| 15 | Equivalence of Systematic Linear Data Structures and Matrix Rigidity. | 1 |
| 16 | Clustering Billions of Reads for DNA Data Storage | 22 |
| 17 | 1 | |
| 18 | Bounded Matrix Rigidity and John's Theorem. | 3 |
| 19 | Cross-Caption Coreference Resolution for Automatic Image Understanding | 7 |
| 20 | Collecting Image Annotations Using Amazon's Mechanical Turk | 320 |
About Cyrus Rashtchian
Cyrus Rashtchian is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Computational Theory and Mathematics, having authored 21 papers that have together received 415 indexed citations. Recurring topics across this work include DNA and Biological Computing (7 papers), Algorithms and Data Compression (7 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Artificial Intelligence (209 citations) and Computer Science Applications (33 citations). Cyrus Rashtchian has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Peter Young, Julia Hockenmaier, Micah Hodosh, Miklós Z. Rácz, Sergey Yekhanin, Konstantin Makarychev, Eitan Yaakobi, Paul H. Siegel, Antonia Wachter-Zeh and Luís Ceze. Their work appears in journals such as IEEE Transactions on Information Theory, The Electronic Journal of Combinatorics and arXiv (Cornell University).
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.