Mark Silberstein

3.2k citations
72 papers · 2.2k · 1 hit paper · h-index 25

Impact in

Papers in

Mark Silberstein

65 papers receiving 2.1k citations

Mark Silberstein's Hit Papers

Foreshadow: extracting the keys to the intel SGX kingdom with transient out-of-order execution 2018 · 448 citations
4480+2+5Years since publication100200300400

Peers

Mark Silberstein
Comparison fields: 5 of 114
  • Hardware and Architecture 852
  • Computer Networks and Communications 1.2k
  • Information Systems 877
  • Signal Processing 408
  • Artificial Intelligence 998
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Citations per field
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Citations per year

Countries citing papers authored by Mark Silberstein

Since Specialization
Citations

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

Fields of papers citing papers by Mark Silberstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Silberstein, 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 Mark Silberstein Line = papers co-authored together Mark Silberstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Foreshadow: extracting the keys to the intel SGX kingdom with transient out-of-order execution
Hit paper breakdown →
2018448
2 2011203
3 2017135
4 201399
5
Varys: protecting SGX enclaves from practical side-channel attacks
201879
6
Foreshadow-NG: Breaking the virtual memory abstraction with transient out-of-order execution
201871
7 200669
8 201469
9 201466
10 200864
11 201463
12
Eternal Sunshine of the Spotless Machine: Protecting Privacy with Ephemeral Channels.
201250
13 202048
14 201245
15 200938
16 201738
17 201137
18 201636
19 201733
20 200633

About Mark Silberstein

Mark Silberstein is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Signal Processing, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (34 papers), Advanced Data Storage Technologies (29 papers), Distributed and Parallel Computing Systems (20 papers), Cloud Computing and Resource Management (17 papers), Security and Verification in Computing (13 papers), Software-Defined Networks and 5G (9 papers), Caching and Content Delivery (9 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (852 citations), Computer Networks and Communications (1.2k citations), Information Systems (877 citations), Signal Processing (408 citations) and Artificial Intelligence (998 citations). Mark Silberstein has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Emmett Witchel, Marina Minkin, Assaf Schuster, Daniel Genkin, Thomas F. Wenisch, Raoul Strackx, Jo Van Bulck, Baris Kasikci, Ofir Weisse and Yuval Yarom. Their work appears in journals such as ACM Transactions on Computer Systems, Bioinformatics, IEEE Micro, IEEE/ACM Transactions on Networking and ACM SIGPLAN Notices.

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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