Elena Grigorescu
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Arnab BhattacharyyaVitaly FeldmanLev ReyzinSantosh VempalaYing XiaoDavid P. WoodruffMadhu SudanSofya Raskhodnikova
- Topics
- Complexity and Algorithms in Graphs (26 papers)Cryptography and Data Security (16 papers)Machine Learning and Algorithms (12 papers)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Elena Grigorescu
46 papers receiving 293 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 204
- Computational Theory and Mathematics 169
- Computer Networks and Communications 86
- Molecular Biology 39
- Electrical and Electronic Engineering 29
Countries citing papers authored by Elena Grigorescu
This map shows the geographic impact of Elena Grigorescu'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 Elena Grigorescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Grigorescu more than expected).
Fields of papers citing papers by Elena Grigorescu
This network shows the impact of papers produced by Elena Grigorescu. 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 Elena Grigorescu. The network helps show where Elena Grigorescu may publish in the future.
Co-authorship network of co-authors of Elena Grigorescu
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Grigorescu. A scholar is included among the top collaborators of Elena Grigorescu 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 Elena Grigorescu. Elena Grigorescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | Communication-Efficient Distributed Learning of Discrete Distributions | 7 |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | On Sums of Locally Testable Affine Invariant Properties. | 1 |
| 14 | Separations of Matroid Freeness Properties | 1 |
| 15 | 3 | |
| 16 | Transitive-Closure Spanners of the Hypercube and the Hypergrid. | 4 |
| 17 | 21 | |
| 18 | 9 | |
| 19 | 15 | |
| 20 | 3 |
About Elena Grigorescu
Elena Grigorescu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 48 papers that have together received 312 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (26 papers), Cryptography and Data Security (16 papers) and Machine Learning and Algorithms (12 papers). The work is most often cited by research in Computational Theory and Mathematics (169 citations), Computational Mathematics (6 citations) and Artificial Intelligence (204 citations). Elena Grigorescu has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Arnab Bhattacharyya, Vitaly Feldman, Lev Reyzin, Santosh Vempala, Ying Xiao, David P. Woodruff, Madhu Sudan, Sofya Raskhodnikova, Kyomin Jung and Tali Kaufman. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on Computing.
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.