Salman Salloum

9 papers and 478 indexed citations i.

About

Salman Salloum is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Salman Salloum has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Salman Salloum’s work include Adaptation to Concept Drift in Data Streams (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Database Systems and Queries (2 papers). Salman Salloum is often cited by papers focused on Adaptation to Concept Drift in Data Streams (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Database Systems and Queries (2 papers). Salman Salloum collaborates with scholars based in China, Singapore and Macao. Salman Salloum's co-authors include Joshua Zhexue Huang, Xiaojun Chen, Mohammad Sultan Mahmud, Ruslan Dautov, Yulin He, Tamer Z. Emara, Lei Zhang, Laizhong Cui, Philippe Fournier‐Viger and Xu Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Journal Of Big Data.

In The Last Decade

Co-authorship network of co-authors of Salman Salloum i

Fields of papers citing papers by Salman Salloum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salman Salloum

Since Specialization
Citations

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