Kassem Kallas

About

Kassem Kallas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Kassem Kallas has authored 14 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Kassem Kallas’s work include Adversarial Robustness in Machine Learning (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Kassem Kallas is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Kassem Kallas collaborates with scholars based in Italy, France and United States. Kassem Kallas's co-authors include Benedetta Tondi, Mauro Barni, Ehsan Nowroozi, Andrea Abrardo, Teddy Furon, Abhir Bhalerao, Michael R. Souryal, Thao T. Nguyen, Gouenou Coatrieux and Andrea Abrardo and has published in prestigious journals such as IEEE Access, Information Fusion and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Co-authorship network of co-authors of Kassem Kallas i

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Fields of papers citing papers by Kassem Kallas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kassem Kallas

Since Specialization

Citations

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