Mark Silberstein

3.0k citations
71 papers · 2.2k · 1 hit paper · h-index 25

Impact in

Papers in

Mark Silberstein

64 papers receiving 2.2k citations

Mark Silberstein's Hit Papers

Foreshadow: Extracting the keys to the Intel SGX kingdom with transient out-of-order execution 2018 · 513 citations
5130+2+5Years since publication100200300400500

Peers

Mark Silberstein
Comparison fields: 5 of 55
  • Hardware and Architecture 537
  • Artificial Intelligence 710
  • Computer Networks and Communications 276
  • Information Systems 168
  • Signal Processing 20
Replace Kenjiro Taura with:
Kenjiro Taura Japan
Seunghak Lee United States
Alan L. Cox United States
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Shuaiwen Leon Song United States
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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 71 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 →
2018513
2 2011202
3 2017148
4 2013102
5 200674
6 201473
7 201467
8 201465
9 200864
10 202054
11
Eternal Sunshine of the Spotless Machine: Protecting Privacy with Ephemeral Channels.
201248
12 201247
13 201244
14 201744
15 200941
16 201640
17 202040
18 201137
19 201735
20 200634

About Mark Silberstein

Mark Silberstein is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Algebra and Number Theory and Genetics, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Security and Verification in Computing (13 papers), Distributed and Parallel Computing Systems (8 papers), Network Packet Processing and Optimization (5 papers), Advanced Data Storage Technologies (4 papers), Software-Defined Networks and 5G (2 papers), Genetic Associations and Epidemiology (2 papers) and Advanced Mathematical Identities (1 paper). The work is most often cited by research in Hardware and Architecture (537 citations), Artificial Intelligence (710 citations), Computer Networks and Communications (276 citations), Information Systems (168 citations) and Signal Processing (20 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, Frank Piessens, Jo Van Bulck, Raoul Strackx, Thomas F. Wenisch, Yuval Yarom and Ofir Weisse. Their work appears in journals such as ACM Transactions on Computer Systems, IEEE/ACM Transactions on Networking, Bioinformatics, IEEE Micro 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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