Yuval Nardi
About
In The Last Decade
Yuval Nardi
15 papers receiving 456 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 147
- Statistics and Probability 146
- Computational Mechanics 49
- Nephrology 47
- Finance 42
Countries citing papers authored by Yuval Nardi
This map shows the geographic impact of Yuval Nardi'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 Yuval Nardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Nardi more than expected).
Fields of papers citing papers by Yuval Nardi
This network shows the impact of papers produced by Yuval Nardi. 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 Yuval Nardi. The network helps show where Yuval Nardi may publish in the future.
Co-authorship network of co-authors of Yuval Nardi
This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Nardi. A scholar is included among the top collaborators of Yuval Nardi 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 Yuval Nardi. Yuval Nardi 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 | 17 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 86 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | Secure multiple linear regression based on homomorphic encryption | 76 |
| 11 | 91 | |
| 12 | On the Asymptotic Properties of The Group Lasso Estimator in Least Squares Problems | 1 |
| 13 | 8 | |
| 14 | 101 | |
| 15 | 29 |
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.