Yael Mathov

About

Yael Mathov is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Yael Mathov has authored 6 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Yael Mathov’s work include Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Yael Mathov is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Yael Mathov collaborates with scholars based in Israel and Singapore. Yael Mathov's co-authors include Yuval Elovici, Asaf Shabtai, Yair Meidan, Yisroel Mirsky, Dominik Breitenbacher, Vinay Sachidananda, Yossi Oren and Lior Rokach and has published in prestigious journals such as Neurocomputing, IEEE Internet of Things Journal and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Yael Mathov i

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Fields of papers citing papers by Yael Mathov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yael Mathov

Since Specialization

Citations

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