Andrew Ruef

1.0k total citations · 1 hit paper
10 papers, 495 citations indexed

About

Andrew Ruef is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Andrew Ruef has authored 10 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Andrew Ruef's work include Advanced Malware Detection Techniques (4 papers), Information and Cyber Security (4 papers) and Software Reliability and Analysis Research (3 papers). Andrew Ruef is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Information and Cyber Security (4 papers) and Software Reliability and Analysis Research (3 papers). Andrew Ruef collaborates with scholars based in United States, Argentina and United Kingdom. Andrew Ruef's co-authors include Michael Hicks, Shiyi Wei, Paulo Shakarian, Jana Shakarian, ThanhVu Nguyen, David Tarditi, Eric Nunes, Gerardo I. Simari, Dave Levin and Piotr Mardziel and has published in prestigious journals such as ACM Transactions on Privacy and Security, SpringerBriefs in computer science and CERN Document Server (European Organization for Nuclear Research).

In The Last Decade

Andrew Ruef

9 papers receiving 485 citations

Hit Papers

Evaluating Fuzz Testing 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

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.

  1. Evaluating Fuzz Testing
    2018 379 citations Andrew Ruef, Shiyi Wei et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Ruef United States 6 301 226 218 171 77 10 495
Chunqiu Steven Xia United States 8 360 1.2× 104 0.5× 357 1.6× 171 1.0× 127 1.6× 10 632
Joeri de Ruiter Netherlands 11 171 0.6× 139 0.6× 131 0.6× 217 1.3× 167 2.2× 21 413
Tiffany Bao United States 10 128 0.4× 277 1.2× 274 1.3× 166 1.0× 143 1.9× 33 480
Caroline Lemieux United States 9 419 1.4× 168 0.7× 329 1.5× 178 1.0× 112 1.5× 21 607
Edward Aftandilian United States 12 327 1.1× 140 0.6× 464 2.1× 202 1.2× 205 2.7× 17 670
Wontae Choi South Korea 10 347 1.2× 266 1.2× 251 1.2× 94 0.5× 128 1.7× 21 506
Minxue Pan China 9 260 0.9× 156 0.7× 255 1.2× 111 0.6× 119 1.5× 68 432
Suvda Myagmar United States 6 484 1.6× 305 1.3× 645 3.0× 131 0.8× 182 2.4× 7 754
Rohan Padhye United States 13 299 1.0× 163 0.7× 276 1.3× 143 0.8× 123 1.6× 30 505
Cornelius Aschermann Germany 12 485 1.6× 405 1.8× 270 1.2× 247 1.4× 99 1.3× 15 701

Countries citing papers authored by Andrew Ruef

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Ruef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Ruef

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Ruef. A scholar is included among the top collaborators of Andrew Ruef 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 Andrew Ruef. Andrew Ruef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hicks, Michael, Andrew Ruef, Michelle L. Mazurek, et al.. (2020). Build It, Break It, Fix It. ACM Transactions on Privacy and Security. 23(2). 1–36. 11 indexed citations
2.
Ruef, Andrew, et al.. (2018). Checked C: Making C Safe by Extension. 53–60. 24 indexed citations
3.
Nunes, Eric, Paulo Shakarian, Gerardo I. Simari, & Andrew Ruef. (2018). Artificial Intelligence Tools for Cyber Attribution. SpringerBriefs in computer science. 4 indexed citations
4.
Ruef, Andrew, et al.. (2018). Evaluating Fuzz Testing. 2123–2138. 379 indexed citations breakdown →
5.
Nguyen, ThanhVu, et al.. (2017). Counterexample-guided approach to finding numerical invariants. 605–615. 28 indexed citations
6.
Ruef, Andrew, Eric Nunes, Paulo Shakarian, & Gerardo I. Simari. (2017). Measuring cyber attribution in games. 1. 28–32.
7.
Nunes, Eric, Paulo Shakarian, Gerardo I. Simari, & Andrew Ruef. (2016). Argumentation models for cyber attribution. 837–844. 8 indexed citations
8.
Ruef, Andrew, et al.. (2015). Build it break it: measuring and comparing development security. 2–2. 1 indexed citations
9.
Nunes, Eric, et al.. (2015). Cyber-Deception and Attribution in Capture-the-Flag Exercises. 962–965. 3 indexed citations
10.
Shakarian, Paulo, Jana Shakarian, & Andrew Ruef. (2013). Introduction to Cyber-Warfare: A Multidisciplinary Approach. CERN Document Server (European Organization for Nuclear Research). 37 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.

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