Moutaz Alazab

72 total papers · 1.9k total citations
53 papers, 1.1k citations indexed

About

Moutaz Alazab is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Moutaz Alazab has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 20 papers in Signal Processing and 20 papers in Artificial Intelligence. Recurrent topics in Moutaz Alazab's work include Network Security and Intrusion Detection (24 papers), Advanced Malware Detection Techniques (20 papers) and Anomaly Detection Techniques and Applications (6 papers). Moutaz Alazab is often cited by papers focused on Network Security and Intrusion Detection (24 papers), Advanced Malware Detection Techniques (20 papers) and Anomaly Detection Techniques and Applications (6 papers). Moutaz Alazab collaborates with scholars based in Jordan, Australia and Spain. Moutaz Alazab's co-authors include Albara Awajan, Salah Alhyari, Mamoun Alazab, Ayman Bahjat Abdallah, Sitalakshmi Venkatraman, Ammar Alazab, Andrii Shalaginov, Abdelwadood Mesleh, Paul Watters and David Camacho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Moutaz Alazab

43 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Moutaz Alazab 535 454 443 415 97 53 1.1k
Yannis Vassiliou 645 1.2× 401 0.9× 334 0.8× 600 1.4× 68 0.7× 69 1.1k
Shashank Gupta 525 1.0× 855 1.9× 426 1.0× 434 1.0× 72 0.7× 68 1.5k
Muhammad Younas 634 1.2× 562 1.2× 163 0.4× 293 0.7× 78 0.8× 108 1.1k
Ahmad Firdaus 438 0.8× 447 1.0× 392 0.9× 214 0.5× 79 0.8× 55 967
Alexander Zeier 659 1.2× 420 0.9× 178 0.4× 197 0.5× 58 0.6× 86 1.0k
Opher Etzion 777 1.5× 409 0.9× 290 0.7× 426 1.0× 123 1.3× 68 1.2k
S. M. Deen 646 1.2× 393 0.9× 292 0.7× 498 1.2× 67 0.7× 64 1.4k
Neal Leavitt 588 1.1× 685 1.5× 170 0.4× 213 0.5× 69 0.7× 25 1.1k
Barbora Bühnová 649 1.2× 439 1.0× 105 0.2× 405 1.0× 95 1.0× 107 1.3k
Emmanouil Panaousis 743 1.4× 538 1.2× 307 0.7× 436 1.1× 72 0.7× 81 1.4k

Countries citing papers authored by Moutaz Alazab

Since Specialization
Citations

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

Fields of papers citing papers by Moutaz Alazab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moutaz Alazab

This figure shows the co-authorship network connecting the top 25 collaborators of Moutaz Alazab. A scholar is included among the top collaborators of Moutaz Alazab 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 Moutaz Alazab. Moutaz Alazab 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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