Dana Ron
About
In The Last Decade
Dana Ron
125 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 2.2k
- Computational Theory and Mathematics 1.9k
- Computer Networks and Communications 1.1k
- Computer Vision and Pattern Recognition 292
- Signal Processing 280
Countries citing papers authored by Dana Ron
This map shows the geographic impact of Dana Ron'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 Dana Ron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Ron more than expected).
Fields of papers citing papers by Dana Ron
This network shows the impact of papers produced by Dana Ron. 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 Dana Ron. The network helps show where Dana Ron may publish in the future.
Co-authorship network of co-authors of Dana Ron
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Ron. A scholar is included among the top collaborators of Dana Ron 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 Dana Ron. Dana Ron 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 | Testing probability distributions using conditional samples | 19 |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 12 | |
| 6 | Approximating the influence of monotone boolean functions in O(√n) query complexity | 2 |
| 7 | 6 | |
| 8 | Testing Properties of Collections of Distributions. | 1 |
| 9 | 8 | |
| 10 | Comparing the strength of query types in property testing: the case of testing k-colorability | 1 |
| 11 | 12 | |
| 12 | Sublinear Algorithms for Approximating String Compressibility and the Distribution Support Size | 1 |
| 13 | 58 | |
| 14 | Bounds on Linear Codes for Network Multicast | 45 |
| 15 | 9 | |
| 16 | 58 | |
| 17 | 18 | |
| 18 | 25 | |
| 19 | 50 | |
| 20 | Property Testing and its connection to Learning and Approximation | 3 |
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.