Erika Chin

13 total papers · 4.9k total citations
11 papers, 3.3k citations indexed

About

Erika Chin is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Erika Chin has authored 11 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 8 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Erika Chin's work include Advanced Malware Detection Techniques (10 papers), Security and Verification in Computing (5 papers) and Web Application Security Vulnerabilities (3 papers). Erika Chin is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Security and Verification in Computing (5 papers) and Web Application Security Vulnerabilities (3 papers). Erika Chin collaborates with scholars based in United States. Erika Chin's co-authors include Adrienne Porter Felt, David Wagner, Steve Hanna, Dawn Song, Serge Egelman, Matthew Finifter, Steven Hanna, Helen J. Wang, Alexander Moshchuk and Vyas Sekar and has published in prestigious journals such as Journal of Applied Mechanics and USENIX Security Symposium.

In The Last Decade

Erika Chin

11 papers receiving 3.1k citations

Hit Papers

Android permissions demys... 2011 2026 2016 2021 2011 2012 2011 2011 2011 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Erika Chin 2.9k 2.0k 1.3k 1.1k 1.1k 11 3.3k
Peter Gilbert 2.4k 0.8× 1.4k 0.7× 1.3k 1.0× 788 0.7× 1.2k 1.2× 34 3.1k
Adrienne Porter Felt 3.8k 1.3× 2.9k 1.5× 1.6k 1.3× 1.2k 1.1× 1.6k 1.5× 34 4.7k
Seungyeop Han 1.2k 0.4× 977 0.5× 1.0k 0.8× 394 0.4× 867 0.8× 24 2.5k
Manuel Egele 2.6k 0.9× 2.0k 1.0× 1.7k 1.4× 666 0.6× 1.6k 1.5× 67 3.5k
Helen J. Wang 2.2k 0.7× 2.2k 1.1× 3.1k 2.5× 474 0.4× 2.0k 1.9× 58 4.9k
Davide Balzarotti 2.8k 1.0× 2.4k 1.2× 2.2k 1.7× 642 0.6× 2.3k 2.2× 113 4.4k
Damien Octeau 3.4k 1.1× 2.1k 1.1× 1.5k 1.2× 1.8k 1.7× 1.1k 1.1× 22 3.6k
Benjamin Livshits 1.6k 0.6× 2.6k 1.3× 970 0.8× 1.1k 1.0× 1.9k 1.8× 115 3.6k
Stuart Schechter 1.2k 0.4× 1.8k 0.9× 837 0.7× 212 0.2× 628 0.6× 53 2.8k
William Enck 5.5k 1.9× 3.5k 1.8× 3.4k 2.7× 1.9k 1.8× 2.6k 2.5× 95 6.8k

Countries citing papers authored by Erika Chin

Since Specialization
Citations

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

Fields of papers citing papers by Erika Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Erika Chin. A scholar is included among the top collaborators of Erika Chin 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 Erika Chin. Erika Chin 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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