Roei Schuster

604 total citations
10 papers, 301 citations indexed

About

Roei Schuster is a scholar working on Artificial Intelligence, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Roei Schuster has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Sociology and Political Science. Recurrent topics in Roei Schuster's work include Advanced Malware Detection Techniques (4 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Roei Schuster is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Cryptography and Data Security (2 papers) and Privacy-Preserving Technologies in Data (2 papers). Roei Schuster collaborates with scholars based in Israel, United States and Canada. Roei Schuster's co-authors include Eran Tromer, Vitaly Shmatikov, Adam Dziedzic, Franziska Boenisch, Ilia Shumailov, Ali Shahin Shamsabadi, Nicolas Papernot, Daniel Genkin, Congzheng Song and Regina Barzilay and has published in prestigious journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and arXiv (Cornell University).

In The Last Decade

Roei Schuster

10 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roei Schuster Israel	7	234	93	86	78	50	10	301
Tavish Vaidya United States	7	240 1.0×	165 1.8×	77 0.9×	114 1.5×	43 0.9×	12	334
Hassan Jameel Asghar Australia	9	118 0.5×	63 0.7×	82 1.0×	122 1.6×	25 0.5×	33	247
Suphannee Sivakorn United States	9	132 0.6×	133 1.4×	69 0.8×	173 2.2×	29 0.6×	10	285
Luigi Catuogno Italy	11	137 0.6×	97 1.0×	188 2.2×	210 2.7×	37 0.7×	34	330
Derek Leung United States	4	110 0.5×	95 1.0×	135 1.6×	111 1.4×	32 0.6×	5	258
Ting Dai United States	10	148 0.6×	51 0.5×	115 1.3×	99 1.3×	47 0.9×	25	295
Sebastian Gerling Germany	7	140 0.6×	170 1.8×	55 0.6×	100 1.3×	36 0.7×	9	236
Petr Dzurenda Czechia	9	169 0.7×	23 0.2×	80 0.9×	105 1.3×	43 0.9×	43	247
José Jair Santanna Netherlands	7	100 0.4×	80 0.9×	207 2.4×	109 1.4×	23 0.5×	12	264
Ahoud Alhazmi Australia	4	248 1.1×	68 0.7×	45 0.5×	48 0.6×	42 0.8×	8	293

Countries citing papers authored by Roei Schuster

Since Specialization

Citations

This map shows the geographic impact of Roei Schuster'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 Roei Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roei Schuster more than expected).

Fields of papers citing papers by Roei Schuster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roei Schuster. 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 Roei Schuster. The network helps show where Roei Schuster may publish in the future.

Co-authorship network of co-authors of Roei Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Roei Schuster. A scholar is included among the top collaborators of Roei Schuster 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 Roei Schuster. Roei Schuster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Schuster, Roei, et al.. (2023). Understanding Transformer Memorization Recall Through Idioms. 248–264. 6 indexed citations

2.

Boenisch, Franziska, Adam Dziedzic, Roei Schuster, et al.. (2023). Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation. 241–257. 14 indexed citations

3.

Boenisch, Franziska, Adam Dziedzic, Roei Schuster, et al.. (2023). When the Curious Abandon Honesty: Federated Learning Is Not Private. 175–199. 67 indexed citations

4.

Schuster, Roei, et al.. (2022). Toward Proactive Support for Older Adults. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(1). 1–25. 4 indexed citations

5.

Schuster, Roei, Congzheng Song, Eran Tromer, & Vitaly Shmatikov. (2021). You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion. arXiv (Cornell University). 1559–1575. 20 indexed citations

6.

Genkin, Daniel, et al.. (2019). Synesthesia: Detecting Screen Content via Remote Acoustic Side Channels. arXiv (Cornell University). 853–869. 49 indexed citations

7.

Schuster, Tal, Roei Schuster, Darsh Shah, & Regina Barzilay. (2019). Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection.. arXiv (Cornell University). 6 indexed citations

8.

Schuster, Roei, Vitaly Shmatikov, & Eran Tromer. (2018). Situational Access Control in the Internet of Things. 1056–1073. 53 indexed citations

9.

Schuster, Roei, Vitaly Shmatikov, & Eran Tromer. (2017). Beauty and the burst: remote identification of encrypted video streams. 1357–1374. 74 indexed citations

10.

Tromer, Eran & Roei Schuster. (2016). DroidDisintegrator. 401–412. 8 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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