PiOS : Detecting privacy leaks in iOS applications
- Authors
- Manuel Egele
- Journal
- Graduate School and Research Center in Digital Science (EURECOM)
In The Last Decade
doi.org/w8807544 →Countries where authors are citing PiOS : Detecting privacy leaks in iOS applications
This map shows the geographic impact of PiOS : Detecting privacy leaks in iOS applications. 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 PiOS : Detecting privacy leaks in iOS applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PiOS : Detecting privacy leaks in iOS applications more than expected).
Fields of papers citing PiOS : Detecting privacy leaks in iOS applications
This network shows the impact of PiOS : Detecting privacy leaks in iOS applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the PiOS : Detecting privacy leaks in iOS applications.
About PiOS : Detecting privacy leaks in iOS applications
This paper, published in 2011, received 318 indexed citations . Written by Manuel Egele covering the research area of Information Systems, Artificial Intelligence and Signal Processing. It is primarily cited by scholars working on Signal Processing (286 citations), Information Systems (181 citations) and Artificial Intelligence (124 citations). Published in Graduate School and Research Center in Digital Science (EURECOM).
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.
This paper is also available at doi.org/w8807544.