Salman Salloum

16 total papers · 1.1k total citations
14 papers, 669 citations indexed

About

Salman Salloum is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Salman Salloum has authored 14 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Salman Salloum's work include Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (4 papers) and Data Stream Mining Techniques (3 papers). Salman Salloum is often cited by papers focused on Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (4 papers) and Data Stream Mining Techniques (3 papers). Salman Salloum collaborates with scholars based in China, Singapore and Macao. Salman Salloum's co-authors include Joshua Zhexue Huang, Xiaojun Chen, Ruslan Dautov, Mohammad Sultan Mahmud, Yulin He, Tamer Z. Emara, Laizhong Cui, Lei Zhang, Xu Li and Philippe Fournier‐Viger and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and Journal Of Big Data.

In The Last Decade

Salman Salloum

14 papers receiving 639 citations

Hit Papers

Big data analytics on Apa... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Salman Salloum 278 252 243 107 62 14 669
Leonard Richardson 309 1.1× 226 0.9× 364 1.5× 88 0.8× 41 0.7× 8 662
Wilson A. Higashino 294 1.1× 143 0.6× 275 1.1× 72 0.7× 160 2.6× 18 639
Pramod Anantharam 265 1.0× 172 0.7× 142 0.6× 124 1.2× 59 1.0× 22 574
Tawfiq Hasanin 155 0.6× 354 1.4× 152 0.6× 64 0.6× 81 1.3× 25 661
Wubai Zhou 157 0.6× 341 1.4× 226 0.9× 94 0.9× 27 0.4× 24 665
A. H. Mohsin 190 0.7× 140 0.6× 258 1.1× 196 1.8× 49 0.8× 14 761
Wei She 244 0.9× 209 0.8× 301 1.2× 86 0.8× 48 0.8× 39 565
Tarek Elsaleh 327 1.2× 163 0.6× 165 0.7× 220 2.1× 63 1.0× 18 661
Seyed Mahdi Jameii 198 0.7× 159 0.6× 138 0.6× 67 0.6× 107 1.7× 27 579
Brian Hayes 378 1.4× 141 0.6× 468 1.9× 45 0.4× 62 1.0× 10 721

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).

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.

Co-authorship network of co-authors of Salman Salloum

This figure shows the co-authorship network connecting the top 25 collaborators of Salman Salloum. A scholar is included among the top collaborators of Salman Salloum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salman Salloum. Salman Salloum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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