Saba Eskandarian

485 total citations
12 papers, 162 citations indexed

About

Saba Eskandarian is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Saba Eskandarian has authored 12 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Saba Eskandarian's 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). Saba Eskandarian is often cited by papers focused on Cryptography and Data Security (7 papers), Security and Verification in Computing (5 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Saba Eskandarian collaborates with scholars based in United States and Germany. Saba Eskandarian's co-authors include Matei Zaharia, Dan Boneh, Joseph Bonneau, Giancarlo Pellegrino, Michael Backes, Yan Michalevsky, Mihai Christodorescu and Payman Mohassel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the VLDB Endowment and arXiv (Cornell University).

In The Last Decade

Saba Eskandarian

9 papers receiving 158 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saba Eskandarian United States 6 145 71 46 32 13 12 162
Dhinakaran Vinayagamurthy India 5 118 0.8× 73 1.0× 25 0.5× 23 0.7× 13 1.0× 8 133
Len Sassaman Belgium 6 122 0.8× 56 0.8× 62 1.3× 65 2.0× 8 0.6× 13 159
Sébastien Canard France 8 128 0.9× 36 0.5× 63 1.4× 19 0.6× 9 0.7× 23 153
Florian Göpfert Germany 5 99 0.7× 65 0.9× 22 0.5× 52 1.6× 12 0.9× 6 149
Ben Fisch United States 4 113 0.8× 63 0.9× 21 0.5× 18 0.6× 10 0.8× 6 123
Femi Olumofin United States 7 155 1.1× 82 1.2× 89 1.9× 33 1.0× 8 0.6× 10 174
Gudmund Grov United Kingdom 6 77 0.5× 55 0.8× 36 0.8× 12 0.4× 16 1.2× 30 143
José Bacelar Almeida Portugal 8 164 1.1× 35 0.5× 33 0.7× 91 2.8× 27 2.1× 16 184
Omer Paneth United States 7 116 0.8× 58 0.8× 32 0.7× 19 0.6× 17 1.3× 13 154
Florian Kammüller United Kingdom 7 66 0.5× 73 1.0× 52 1.1× 36 1.1× 8 0.6× 31 128

Countries citing papers authored by Saba Eskandarian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
1.
Eskandarian, Saba, et al.. (2025). Onion Franking: Abuse Reports for Mix-Based Private Messaging. 1 indexed citations
2.
Eskandarian, Saba, et al.. (2024). Anonymous Complaint Aggregation for Secure Messaging. Proceedings on Privacy Enhancing Technologies. 2024(3). 276–296. 1 indexed citations
3.
Michalevsky, Yan, et al.. (2023). DBREACH: Stealing from Databases Using Compression Side Channels. 182–198. 3 indexed citations
4.
Eskandarian, Saba. (2021). Fast Privacy-Preserving Punch Cards. SHILAP Revista de lepidopterología. 1 indexed citations
5.
Eskandarian, Saba, et al.. (2021). Secure Complaint-Enabled Source-Tracking for Encrypted Messaging. 1484–1506. 5 indexed citations
6.
Eskandarian, Saba, Mihai Christodorescu, & Payman Mohassel. (2020). Privacy-Preserving Payment Splitting. SHILAP Revista de lepidopterología.
7.
Eskandarian, Saba & Matei Zaharia. (2019). ObliDB. Proceedings of the VLDB Endowment. 13(2). 169–183. 72 indexed citations
8.
Eskandarian, Saba, et al.. (2019). Fidelius: Protecting User Secrets from Compromised Browsers. 264–280. 25 indexed citations
9.
Eskandarian, Saba & Matei Zaharia. (2017). ObliDB: Oblivious Query Processing using Hardware Enclaves. arXiv (Cornell University). 6 indexed citations
10.
Eskandarian, Saba & Matei Zaharia. (2017). An Efficient Oblivious Database for the Public Cloud. arXiv (Cornell University).
11.
Eskandarian, Saba, et al.. (2017). Certificate Transparency with Privacy. SHILAP Revista de lepidopterología. 2017(4). 329–344. 30 indexed citations
12.
Eskandarian, Saba & Matei Zaharia. (2017). An Oblivious General-Purpose SQL Database for the Cloud.. 18 indexed citations

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.

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2026