Aravind Machiry

1.7k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Aravind Machiry is a scholar working on Signal Processing, Artificial Intelligence and Software. According to data from OpenAlex, Aravind Machiry has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 21 papers in Artificial Intelligence and 17 papers in Software. Recurrent topics in Aravind Machiry's work include Advanced Malware Detection Techniques (26 papers), Security and Verification in Computing (18 papers) and Software Testing and Debugging Techniques (15 papers). Aravind Machiry is often cited by papers focused on Advanced Malware Detection Techniques (26 papers), Security and Verification in Computing (18 papers) and Software Testing and Debugging Techniques (15 papers). Aravind Machiry collaborates with scholars based in United States, Italy and France. Aravind Machiry's co-authors include Mayur Naik, Giovanni Vigna, Christopher Kruegel, Yan Shoshitaishvili, Chad Spensky, Antonio Bianchi, Nilo Redini, Ruoyu Wang, Christopher Salls and Yanick Fratantonio and has published in prestigious journals such as IEEE Security & Privacy, Proceedings of the ACM on Programming Languages and USENIX Security Symposium.

In The Last Decade

Aravind Machiry

34 papers receiving 1.1k citations

Hit Papers

Dynodroid: an input generation system for Android apps 2013 2026 2017 2021 2013 100 200 300 400 500
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. Dynodroid: an input generation system for Android apps
    2013 516 citations Aravind Machiry, Mayur Naik 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
Aravind Machiry United States 15 858 613 524 427 335 37 1.2k
Yeongjin Jang United States 14 562 0.7× 273 0.4× 337 0.6× 598 1.4× 242 0.7× 28 953
Matthias Neugschwandtner Austria 12 632 0.7× 345 0.6× 313 0.6× 292 0.7× 377 1.1× 21 807
Chengyu Song United States 21 820 1.0× 238 0.4× 397 0.8× 954 2.2× 429 1.3× 56 1.3k
Witawas Srisa‐an United States 16 467 0.5× 297 0.5× 422 0.8× 262 0.6× 744 2.2× 83 1.1k
Kangjie Lu United States 18 749 0.9× 249 0.4× 440 0.8× 704 1.6× 345 1.0× 54 1.0k
Domenico Amalfitano Italy 15 694 0.8× 958 1.6× 717 1.4× 160 0.4× 399 1.2× 54 1.3k
Haipeng Cai United States 21 1.0k 1.2× 774 1.3× 986 1.9× 319 0.7× 842 2.5× 109 1.6k
Tanzirul Azim United States 9 534 0.6× 452 0.7× 381 0.7× 112 0.3× 251 0.7× 11 734
Mario Polino Italy 9 581 0.7× 305 0.5× 332 0.6× 401 0.9× 243 0.7× 23 877

Countries citing papers authored by Aravind Machiry

Since Specialization
Citations

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

Fields of papers citing papers by Aravind Machiry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aravind Machiry

This figure shows the co-authorship network connecting the top 25 collaborators of Aravind Machiry. A scholar is included among the top collaborators of Aravind Machiry 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 Aravind Machiry. Aravind Machiry 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.
Shen, Mingjie, et al.. (2025). Finding 709 Defects in 258 Projects: An Experience Report on Applying CodeQL to Open-Source Embedded Software (Experience Paper). Proceedings of the ACM on software engineering.. 2(ISSTA). 1077–1100.
2.
Machiry, Aravind, et al.. (2024). Rust for Embedded Systems: Current State and Open Problems. 2296–2310. 4 indexed citations
3.
Machiry, Aravind, et al.. (2024). Aunor: Converting Rust crates to [no_std] at scale. 163–165. 1 indexed citations
4.
5.
Machiry, Aravind, et al.. (2024). On the Effectiveness of Large Language Models for GitHub Workflows. 1–14. 5 indexed citations
6.
Kumar, K. Naveen, C. Krishna Mohan, & Aravind Machiry. (2024). Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning. 233–244. 2 indexed citations
7.
Xu, Zhongwei, et al.. (2023). Systematically Detecting Packet Validation Vulnerabilities in Embedded Network Stacks. 926–938. 4 indexed citations
8.
Machiry, Aravind, et al.. (2022). C to checked C by 3c. Proceedings of the ACM on Programming Languages. 6(OOPSLA1). 1–29. 8 indexed citations
9.
Ianni, Michele, Aravind Machiry, Yanick Fratantonio, et al.. (2021). Tarnhelm: Isolated, Transparent & Confidential Execution of Arbitrary Code in ARM's TrustZone. 43–57. 3 indexed citations
10.
Li, Ziyang, Aravind Machiry, Binghong Chen, et al.. (2021). ARBITRAR: User-Guided API Misuse Detection. 1400–1415. 15 indexed citations
11.
Machiry, Aravind, et al.. (2020). SPIDER: Enabling Fast Patch Propagation In Related Software Repositories. 1562–1579. 24 indexed citations
12.
Spensky, Chad, et al.. (2020). TRUST.IO: Protecting Physical Interfaces on Cyber-physical Systems. 1–9. 2 indexed citations
13.
Gustafson, Eric, Marius Muench, Chad Spensky, et al.. (2019). Toward the Analysis of Embedded Firmware through Automated Re-hosting. eScholarship (California Digital Library). 135–150. 40 indexed citations
14.
Machiry, Aravind, Nilo Redini, Eric Gustafson, et al.. (2019). Towards Automatically Generating a Sound and Complete Dataset for Evaluating Static Analysis Tools. 2 indexed citations
15.
Shoshitaishvili, Yan, Antonio Bianchi, Kevin Borgolte, et al.. (2018). Mechanical Phish: Resilient Autonomous Hacking. IEEE Security & Privacy. 16(2). 12–22. 14 indexed citations
16.
Redini, Nilo, Aravind Machiry, Dipanjan Das, et al.. (2017). Bootstomp: On the security of bootloaders in mobile devices. USENIX Security Symposium. 781–798. 20 indexed citations
17.
Machiry, Aravind, et al.. (2017). {DR}. {CHECKER}: A Soundy Analysis for Linux Kernel Drivers. USENIX Security Symposium. 1007–1024. 45 indexed citations
18.
Machiry, Aravind, Eric Gustafson, Chad Spensky, et al.. (2017). BOOMERANG: Exploiting the Semantic Gap in Trusted Execution Environments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 62 indexed citations
19.
Fratantonio, Yanick, Aravind Machiry, Antonio Bianchi, Christopher Kruegel, & Giovanni Vigna. (2015). CLAPP: characterizing loops in Android applications. 687–697. 23 indexed citations
20.
Machiry, Aravind, et al.. (2013). Dynodroid: an input generation system for Android apps. 224–234. 516 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yeongjin Jang Breakdown of academic impact, for papers by Matthias Neugschwandtner Breakdown of academic impact, for papers by Chengyu Song Breakdown of academic impact, for papers by Witawas Srisa‐an Breakdown of academic impact, for papers by Kangjie Lu Breakdown of academic impact, for papers by Domenico Amalfitano Breakdown of academic impact, for papers by Haipeng Cai Breakdown of academic impact, for papers by Tanzirul Azim Breakdown of academic impact, for papers by Mario Polino
Rankless by CCL
2026