Aravind Machiry

24 papers and 552 indexed citations i.

About

Aravind Machiry is a scholar working on Signal Processing, Artificial Intelligence and Software. According to data from OpenAlex, Aravind Machiry has authored 24 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 15 papers in Artificial Intelligence and 12 papers in Software. Recurrent topics in Aravind Machiry’s work include Advanced Malware Detection Techniques (19 papers), Security and Verification in Computing (12 papers) and Software Testing and Debugging Techniques (11 papers). Aravind Machiry is often cited by papers focused on Advanced Malware Detection Techniques (19 papers), Security and Verification in Computing (12 papers) and Software Testing and Debugging Techniques (11 papers). Aravind Machiry collaborates with scholars based in United States, Italy and The Netherlands. Aravind Machiry's co-authors include Mayur Naik, Giovanni Vigna, Christopher Kruegel, Yan Shoshitaishvili, Chad Spensky, Christopher Salls, Antonio Bianchi, Shirin Nilizadeh, Hojjat Aghakhani and Ruoyu Wang and has published in prestigious journals such as IEEE Security & Privacy, Proceedings of the ACM on Programming Languages and eScholarship (California Digital Library).

In The Last Decade

Co-authorship network of co-authors of Aravind Machiry i

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.

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).

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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2025