David Kohlbrenner

24 total papers · 909 total citations
18 papers, 523 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 18 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 14 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 (12 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 (12 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 Hovav Shacham, Dayeol Lee, Krste Asanović, Shweta Shinde, Dawn Song, Ranjit Jhala, Sorin Lerner, Craig Disselkoen, Leo Porter and Dean M. Tullsen and has published in prestigious journals such as IEEE Micro, IEEE Security & Privacy and USENIX Security Symposium.

In The Last Decade

David Kohlbrenner

15 papers receiving 507 citations

Hit Papers

Keystone 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Kohlbrenner 455 212 205 148 117 18 523
Sebastian Schinzel 387 0.9× 259 1.2× 93 0.5× 232 1.6× 158 1.4× 23 591
Daniel Moghimi 508 1.1× 294 1.4× 207 1.0× 118 0.8× 121 1.0× 20 581
Johannes Götzfried 446 1.0× 252 1.2× 149 0.7× 184 1.2× 158 1.4× 19 526
Andrew Ferraiuolo 345 0.8× 166 0.8× 246 1.2× 101 0.7× 83 0.7× 21 453
Guoxing Chen 416 0.9× 140 0.7× 68 0.3× 172 1.2× 100 0.9× 27 508
Raphael Spreitzer 443 1.0× 326 1.5× 138 0.7× 170 1.1× 138 1.2× 16 529
Chia-Che Tsai 350 0.8× 167 0.8× 198 1.0× 244 1.6× 259 2.2× 23 549
Matthew Harren 472 1.0× 200 0.9× 223 1.1× 161 1.1× 281 2.4× 9 617
Insu Yun 249 0.5× 282 1.3× 150 0.7× 169 1.1× 215 1.8× 16 556
Christian Priebe 512 1.1× 186 0.9× 93 0.5× 359 2.4× 250 2.1× 10 614

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

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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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