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.
Privacy and security in library RFID
2004419 citationsDávid Molnár, David Wagnerprofile →
SAGE
2012330 citationsPatrice Godefroid, Michael Y. Levin et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Dávid Molnár'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 Dávid Molnár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Molnár more than expected).
This network shows the impact of papers produced by Dávid Molnár. 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 Dávid Molnár. The network helps show where Dávid Molnár may publish in the future.
Co-authorship network of co-authors of Dávid Molnár
This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Molnár.
A scholar is included among the top collaborators of Dávid Molnár 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 Dávid Molnár. Dávid Molnár is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Kohno, Tadayoshi, Joel Kollin, Dávid Molnár, & Franziska Roesner. (2015). Display Leakage and Transparent Wearable Displays: Investigation of Risk, Root Causes, and Defenses.2 indexed citations
2.
D’Antoni, Loris, et al.. (2015). Program Boosting. ACM SIGPLAN Notices. 50(1). 677–688.8 indexed citations
D’Antoni, Loris, et al.. (2014). Program Boosting. Spiral (Imperial College London). 677–688.30 indexed citations
6.
Jana, Suman, Dávid Molnár, Alexander Moshchuk, et al.. (2013). Enabling fine-grained permissions for augmented reality applications with recognizers. University of Birmingham Research Portal (University of Birmingham). 415–430.59 indexed citations
7.
D’Antoni, Loris, Alan M. Dunn, Suman Jana, et al.. (2013). Operating system support for augmented reality applications. University of Birmingham Research Portal (University of Birmingham). 21–21.26 indexed citations
Popa, Raluca Ada, Jacob R. Lorch, Dávid Molnár, Helen J. Wang, & Zhuang Li. (2011). Enabling security in cloud storage SLAs with CloudProof. USENIX Annual Technical Conference. 31–31.157 indexed citations
13.
Hooimeijer, Pieter, Benjamin Livshits, Dávid Molnár, Prateek Saxena, & Margus Veanes. (2011). Fast and precise sanitizer analysis with BEK. USENIX Security Symposium. 1–1.81 indexed citations
14.
Egelman, Serge, Dávid Molnár, Nicolas Christin, et al.. (2010). Please Continue to Hold: An Empirical Study on User Tolerance of Security Delays..18 indexed citations
15.
Molnár, Dávid & Stuart Schechter. (2010). Self Hosting vs. Cloud Hosting: Accounting for the Security Impact of Hosting in the Cloud..38 indexed citations
Molnár, Dávid, et al.. (2009). Dynamic test generation to find integer bugs in x86 binary linux programs. USENIX Security Symposium. 67–82.145 indexed citations
18.
Greenstadt, Rachel, et al.. (2004). Why We Can't Be Bothered to Read Privacy Policies - Models of Privacy Economics as a Lemons Market.. 143–153.2 indexed citations
Molnár, Dávid. (2000). Signing electronic contracts. XRDS Crossroads The ACM Magazine for Students. 7(1). 6–6.2 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.