Eli Lifland

About

Eli Lifland is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Eli Lifland has authored 4 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Signal Processing and 1 paper in Computer Networks and Communications. Recurrent topics in Eli Lifland’s work include Adversarial Robustness in Machine Learning (3 papers), Topic Modeling (3 papers) and Advanced Malware Detection Techniques (2 papers). Eli Lifland is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Topic Modeling (3 papers) and Advanced Malware Detection Techniques (2 papers). Eli Lifland collaborates with scholars based in United States and Austria. Eli Lifland's co-authors include Jin Yong Yoo, John X. Morris, Yanjun Qi, Jake Grigsby, Di Jin, Ezio Bartocci, John A. Stankovic, Meiyi Ma and Lu Feng and has published in prestigious journals such as IEEE Internet of Things Journal and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Eli Lifland i

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Fields of papers citing papers by Eli Lifland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eli Lifland

Since Specialization

Citations

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