Saba Eskandarian
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Hardware and Architecture
- Co-authors
- Matei ZahariaDan BonehJoseph BonneauMichael BackesGiancarlo PellegrinoYan MichalevskyPayman MohasselMihai Christodorescu
- Topics
- Cryptography and Data Security (7 papers)Security and Verification in Computing (5 papers)Internet Traffic Analysis and Secure E-voting (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaProceedings of the VLDB EndowmentarXiv (Cornell University)
- Partner nations
- United StatesGermany
In The Last Decade
Saba Eskandarian
9 papers receiving 158 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 145
- Information Systems 71
- Computer Networks and Communications 46
- Signal Processing 32
- Hardware and Architecture 13
Countries citing papers authored by Saba Eskandarian
This map shows the geographic impact of Saba Eskandarian'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 Saba Eskandarian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saba Eskandarian more than expected).
Fields of papers citing papers by Saba Eskandarian
This network shows the impact of papers produced by Saba Eskandarian. 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 Saba Eskandarian. The network helps show where Saba Eskandarian may publish in the future.
Co-authorship network of co-authors of Saba Eskandarian
This figure shows the co-authorship network connecting the top 25 collaborators of Saba Eskandarian. A scholar is included among the top collaborators of Saba Eskandarian 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 Saba Eskandarian. Saba Eskandarian 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 72 | |
| 8 | 25 | |
| 9 | An Efficient Oblivious Database for the Public Cloud | 0 |
| 10 | ObliDB: Oblivious Query Processing using Hardware Enclaves | 6 |
| 11 | 30 | |
| 12 | An Oblivious General-Purpose SQL Database for the Cloud. | 18 |
About Saba Eskandarian
Saba Eskandarian is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 12 papers that have together received 162 indexed citations. Recurring topics across this work include Cryptography and Data Security (7 papers), Security and Verification in Computing (5 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Artificial Intelligence (145 citations), Information Systems (71 citations) and Signal Processing (32 citations). Saba Eskandarian has collaborated with scholars based in United States and Germany. Frequent co-authors include Matei Zaharia, Dan Boneh, Joseph Bonneau, Michael Backes, Giancarlo Pellegrino, Yan Michalevsky, Payman Mohassel and Mihai Christodorescu. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the VLDB Endowment 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.