Marina Minkin

1.5k total citations · 1 hit paper
7 papers, 817 citations indexed

About

Marina Minkin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Marina Minkin has authored 7 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Marina Minkin's work include Security and Verification in Computing (7 papers), Cloud Data Security Solutions (3 papers) and Advanced Malware Detection Techniques (3 papers). Marina Minkin is often cited by papers focused on Security and Verification in Computing (7 papers), Cloud Data Security Solutions (3 papers) and Advanced Malware Detection Techniques (3 papers). Marina Minkin collaborates with scholars based in United States, Belgium and Australia. Marina Minkin's co-authors include Mark Silberstein, Frank Piessens, Yuval Yarom, Daniel Genkin, Jo Van Bulck, Baris Kasikci, Raoul Strackx, Ofir Weisse, Thomas F. Wenisch and Daniel Moghimi and has published in prestigious journals such as IEEE Micro and Lirias (KU Leuven).

In The Last Decade

Marina Minkin

6 papers receiving 797 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Foreshadow: extracting the keys to the intel SGX kingdom with transient out-of-order execution

2018 394 citations Jo Van Bulck, Marina Minkin et al. Lirias (KU Leuven) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marina Minkin United States	6	736	343	303	231	203	7	817
Thomas Prescher Austria	4	642 0.9×	343 1.0×	200 0.7×	273 1.2×	220 1.1×	4	770
Anders Fogh Austria	4	532 0.7×	294 0.9×	172 0.6×	213 0.9×	187 0.9×	4	629
Ming-Wei Shih United States	7	510 0.7×	297 0.9×	259 0.9×	110 0.5×	232 1.1×	7	635
Zhenghong Wang United States	6	838 1.1×	363 1.1×	220 0.7×	383 1.7×	187 0.9×	10	902
David Sehr United States	9	607 0.8×	416 1.2×	257 0.8×	248 1.1×	343 1.7×	16	800
Daniel Moghimi United States	11	526 0.7×	301 0.9×	121 0.4×	217 0.9×	127 0.6×	20	602
Kevin Z. Snow United States	12	665 0.9×	609 1.8×	225 0.7×	94 0.4×	326 1.6×	20	781
David Kohlbrenner United States	11	466 0.6×	216 0.6×	150 0.5×	208 0.9×	118 0.6×	19	539
Johannes Götzfried Germany	10	452 0.6×	254 0.7×	184 0.6×	151 0.7×	161 0.8×	19	536
John Criswell United States	13	579 0.8×	401 1.2×	313 1.0×	349 1.5×	376 1.9×	35	912

Countries citing papers authored by Marina Minkin

Since Specialization

Citations

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

Fields of papers citing papers by Marina Minkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Minkin

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

All Works

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7 of 7 papers shown

1.

Minkin, Marina & Baris Kasikci. (2024). ZipChannel: Cache Side-Channel Vulnerabilities in Compression Algorithms. 223–237.

2.

Bulck, Jo Van, Daniel Moghimi, Michael Schwarz, et al.. (2020). LVI: Hijacking Transient Execution through Microarchitectural Load Value Injection. Lirias (KU Leuven). 54–72. 108 indexed citations

3.

Canella, Claudio, Daniel Genkin, Lukas Giner, et al.. (2019). Fallout. Lirias (KU Leuven). 769–784. 108 indexed citations

4.

Bulck, Jo Van, Marina Minkin, Ofir Weisse, et al.. (2019). Breaking Virtual Memory Protection and the SGX Ecosystem with Foreshadow. IEEE Micro. 39(3). 66–74. 11 indexed citations

5.

Bulck, Jo Van, Marina Minkin, Ofir Weisse, et al.. (2018). Foreshadow: extracting the keys to the intel SGX kingdom with transient out-of-order execution. Lirias (KU Leuven). 991–1008. 394 indexed citations breakdown →

6.

Weisse, Ofir, Jo Van Bulck, Marina Minkin, et al.. (2018). Foreshadow-NG: Breaking the virtual memory abstraction with transient out-of-order execution. Lirias (KU Leuven). 66 indexed citations

7.

Minkin, Marina, et al.. (2017). Eleos. 238–253. 130 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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