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.
Dark Patterns at Scale
2019252 citationsArunesh Mathur, Güneş Acar et al.Proceedings of the ACM on Human-Computer Interactionprofile →
The Web Never Forgets
2014250 citationsGüneş Acar, Steven Englehardt 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 Güneş Acar'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 Güneş Acar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Güneş Acar more than expected).
This network shows the impact of papers produced by Güneş Acar. 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 Güneş Acar. The network helps show where Güneş Acar may publish in the future.
Co-authorship network of co-authors of Güneş Acar
This figure shows the co-authorship network connecting the top 25 collaborators of Güneş Acar.
A scholar is included among the top collaborators of Güneş Acar 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 Güneş Acar. Güneş Acar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Goanță, Cătălina, et al.. (2021). Digital monitoring of unlawful dark patterns: What role for public interest technology?. Data Archiving and Networked Services (DANS).1 indexed citations
8.
Huang, Danny Yuxing, Noah Apthorpe, Frank Li, Güneş Acar, & Nick Feamster. (2020). IoT Inspector. arXiv (Cornell University).17 indexed citations
Huang, Danny Yuxing, Noah Apthorpe, Frank Li, Güneş Acar, & Nick Feamster. (2020). IoT Inspector. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(2). 1–21.77 indexed citations
11.
Acar, Güneş, Arunesh Mathur, Danny Yuxing Huang, et al.. (2019). Watching You Watch. 131–147.31 indexed citations
12.
Mathur, Arunesh, Güneş Acar, Michael Jan Friedman, et al.. (2019). Dark Patterns at Scale. Proceedings of the ACM on Human-Computer Interaction. 3(CSCW). 1–32.252 indexed citations breakdown →
Olejnik, Łukasz, Güneş Acar, Claude Castelluccia, & Claudia Díaz. (2016). The leaking battery A privacy analysis of the HTML5 Battery Status API.15 indexed citations
Acar, Güneş, et al.. (2014). The Web Never Forgets. 674–689.250 indexed citations breakdown →
19.
Nikiforakis, Nick & Güneş Acar. (2014). Browse at your own risk. IEEE Spectrum. 51(8). 30–35.9 indexed citations
20.
Acar, Güneş, Marc Juárez, Nick Nikiforakis, et al.. (2013). FPDetective. Lirias (KU Leuven). 1129–1140.144 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.