David Kohlbrenner

925 total citations · 1 hit paper
19 papers, 539 citations indexed

About

David Kohlbrenner is a scholar working on Artificial Intelligence, Hardware and Architecture and Signal Processing. According to data from OpenAlex, David Kohlbrenner has authored 19 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Hardware and Architecture and 6 papers in Signal Processing. Recurrent topics in David Kohlbrenner's work include Security and Verification in Computing (13 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers) and Cryptographic Implementations and Security (5 papers). David Kohlbrenner is often cited by papers focused on Security and Verification in Computing (13 papers), Physical Unclonable Functions (PUFs) and Hardware Security (7 papers) and Cryptographic Implementations and Security (5 papers). David Kohlbrenner collaborates with scholars based in United States, Israel and Jamaica. David Kohlbrenner's co-authors include Dayeol Lee, Dawn Song, Krste Asanović, Hovav Shacham, Shweta Shinde, Ranjit Jhala, Sorin Lerner, Dean M. Tullsen, Leo Porter and Craig Disselkoen and has published in prestigious journals such as IEEE Micro, IEEE Security & Privacy and USENIX Security Symposium.

In The Last Decade

David Kohlbrenner

16 papers receiving 523 citations

Hit Papers

Keystone 2020 2026 2022 2024 2020 50 100 150 200
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.

  1. Keystone
    2020 211 citations Dayeol Lee, David Kohlbrenner et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kohlbrenner United States 11 466 216 208 150 118 19 539
Johannes Götzfried Germany 10 452 1.0× 254 1.2× 151 0.7× 184 1.2× 161 1.4× 19 536
Anders Fogh Austria 4 532 1.1× 294 1.4× 213 1.0× 172 1.1× 187 1.6× 4 629
Daniel Moghimi United States 11 526 1.1× 301 1.4× 217 1.0× 121 0.8× 127 1.1× 20 602
Ming-Wei Shih United States 7 510 1.1× 297 1.4× 110 0.5× 259 1.7× 232 2.0× 7 635
Marina Minkin United States 6 736 1.6× 343 1.6× 231 1.1× 303 2.0× 203 1.7× 7 817
Brad Chen United States 5 218 0.5× 170 0.8× 100 0.5× 181 1.2× 208 1.8× 6 415
Insu Yun United States 9 248 0.5× 280 1.3× 152 0.7× 169 1.1× 215 1.8× 17 557
Lucian Cojocar Netherlands 5 240 0.5× 307 1.4× 100 0.5× 166 1.1× 79 0.7× 6 545
Matthew Harren United States 6 474 1.0× 202 0.9× 225 1.1× 161 1.1× 281 2.4× 9 620
Christian Priebe United Kingdom 8 515 1.1× 188 0.9× 93 0.4× 362 2.4× 251 2.1× 10 620

Countries citing papers authored by David Kohlbrenner

Since Specialization
Citations

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

Fields of papers citing papers by David Kohlbrenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kohlbrenner

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

All Works

19 of 19 papers shown
1.
Fletcher, Christopher W., et al.. (2025). Pixnapping: Bringing Pixel Stealing out of the Stone Age. 3266–3280.
2.
Kohlbrenner, David, et al.. (2025). Enabling Confidential I/O on RISC-V Without Hardware Modifications. 19–33.
3.
Chen, Boru, et al.. (2025). Peek-a-Walk: Leaking Secrets via Page Walk Side Channels. 3534–3548. 1 indexed citations
4.
Kohlbrenner, David, et al.. (2024). Pentimento: Data Remanence in Cloud FPGAs. eScholarship (California Digital Library). 862–878.
5.
Flanders, M. June, et al.. (2024). Avoiding Instruction-Centric Microarchitectural Timing Channels Via Binary-Code Transformations. 120–136. 2 indexed citations
6.
Zhao, Gang, et al.. (2024). GPU.zip: On the Side-Channel Implications of Hardware-Based Graphical Data Compression. 3716–3734. 3 indexed citations
7.
Shacham, Hovav, et al.. (2023). Hertzbleed: Turning Power Side-Channel Attacks Into Remote Timing Attacks on x86. IEEE Micro. 43(4). 19–27. 21 indexed citations
8.
Zhao, Gang, et al.. (2023). DVFS Frequently Leaks Secrets: Hertzbleed Attacks Beyond SIKE, Cryptography, and CPU-Only Data. 2306–2320. 10 indexed citations
9.
Flanders, M. June, et al.. (2022). Augury: Using Data Memory-Dependent Prefetchers to Leak Data at Rest. 1491–1505. 27 indexed citations
10.
Trippel, Caroline, et al.. (2021). Opening Pandora’s Box: A Systematic Study of New Ways Microarchitecture Can Leak Private Data. 347–360. 20 indexed citations
11.
Kohlbrenner, David, Shweta Shinde, Dayeol Lee, Krste Asanović, & Dawn Song. (2020). Building Open Trusted Execution Environments. IEEE Security & Privacy. 18(5). 47–56. 4 indexed citations
12.
Lee, Dayeol, David Kohlbrenner, Shweta Shinde, Krste Asanović, & Dawn Song. (2020). Keystone. 1–16. 211 indexed citations breakdown →
13.
Lee, Dayeol, David Kohlbrenner, Shweta Shinde, Dawn Song, & Krste Asanović. (2019). Keystone: A Framework for Architecting TEEs.. arXiv (Cornell University). 16 indexed citations
14.
Lebedev, Ilya, Kyle Hogan, David Kohlbrenner, et al.. (2019). Sanctorum: A lightweight security monitor for secure enclaves. 1142–1147. 6 indexed citations
15.
Kohlbrenner, David & Hovav Shacham. (2017). On the effectiveness of mitigations against floating-point timing channels. USENIX Security Symposium. 69–81. 12 indexed citations
16.
Disselkoen, Craig, David Kohlbrenner, Leo Porter, & Dean M. Tullsen. (2017). Prime+abort: a timer-free high-precision L3 cache attack using intel TSX. 51–67. 58 indexed citations
17.
Kohlbrenner, David & Hovav Shacham. (2016). Trusted Browsers for Uncertain Times. 463–480. 30 indexed citations
18.
Kohlbrenner, David, et al.. (2015). On Subnormal Floating Point and Abnormal Timing. 623–639. 105 indexed citations
19.
Wei, Michael, et al.. (2013). Welcome to the Entropics: Boot-Time Entropy in Embedded Devices. 589–603. 13 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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