Milad Nasr

16 papers and 713 indexed citations i.

About

Milad Nasr is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Milad Nasr has authored 16 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Milad Nasr’s work include Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Milad Nasr is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Privacy-Preserving Technologies in Data (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Milad Nasr collaborates with scholars based in United States, Singapore and Switzerland. Milad Nasr's co-authors include Amir Houmansadr, Reza Shokri, Shuang Song, Florian Tramèr, Steve Chien, Andreas Terzis, Nicholas Carlini, Nicolas Papernot, Abhradeep Thakurta and Arya Mazumdar and has published in prestigious journals such as Repository for Publications and Research Data (ETH Zurich), USENIX Security Symposium and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Milad Nasr i

Fields of papers citing papers by Milad Nasr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Milad Nasr

Since Specialization
Citations

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