Tamara Rezk

1.7k citations
35 papers · 554 indexed · h-index 13

Tamara Rezk

34 papers receiving 521 citations

Peers

Tamara Rezk
Comparison fields: 5 of 20
  • Signal Processing 324
  • Artificial Intelligence 506
  • Hardware and Architecture 71
  • Software 39
  • Computer Networks and Communications 184
Replace Alejandro Russo with:
Alejandro Russo Sweden
Sebastian Hunt United Kingdom
Cătălin Hriţcu United States
Dominique Devriese Belgium
Heiko Mantel Germany
Xiaorui Pan United States
Vincent Simonet France
Antoine Delignat-Lavaud United Kingdom
Jed Liu United States
Vasilis Pappas United States
Tamara Rezk relative to Alejandro Russo Sweden Alejandro Russo's profile →
Citations per field
00.5×1.5×2.3×
Alejandro Russo · 1×
Citations per year

Countries citing papers authored by Tamara Rezk

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Rezk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tamara Rezk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tamara Rezk Line = papers co-authored together Tamara Rezk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20227
3 20210
4 20217
5 20203
6
Towards Constant-Time Foundations for the New Spectre Era.
20194
7 201927
8 20161
9
An Information Flow Monitor for a Core of DOM Introducing References and Live Primitives
20142
10 20139
11 20127
12 201156
13
IEEE Computer Security Foundations Symposium - CSF 2010
201011
14
A Security-Preserving Compiler for Distributed Programs
20092
15 200921
16 200811
17 20082
18 200621
19 200537
20 200466

About Tamara Rezk

Tamara Rezk is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 35 papers that have together received 554 indexed citations. Recurring topics across this work include Security and Verification in Computing (29 papers), Advanced Malware Detection Techniques (26 papers), Distributed systems and fault tolerance (12 papers), Web Application Security Vulnerabilities (6 papers), Cryptographic Implementations and Security (6 papers), Cryptography and Data Security (3 papers), Software Engineering Research (3 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Signal Processing (324 citations), Artificial Intelligence (506 citations), Hardware and Architecture (71 citations), Software (39 citations) and Computer Networks and Communications (184 citations). Tamara Rezk has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Gilles Barthe, Pedro R. D’Argenio, Cédric Fournet, Martijn Warnier, Sébastien Bardin, Gurvan Le Guernic, David A. Naumann, Santiago Vidal, Benjamin Grégoire and Alejandro Russo. Their work appears in journals such as Mathematical Structures in Computer Science, ACM Transactions on Privacy and Security, ACM Transactions on Programming Languages and Systems, ACM SIGPLAN Notices and Science of Computer Programming.

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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