Mohammad Al-Fawa’reh

529 citations
24 papers · 318 · h-index 10

Impact in

Papers in

Mohammad Al-Fawa’reh

21 papers receiving 299 citations

Peers

Mohammad Al-Fawa’reh
Comparison fields: 5 of 53
  • Signal Processing 105
  • Computer Networks and Communications 144
  • Artificial Intelligence 194
  • Information Systems 81
  • Computer Vision and Pattern Recognition 40
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Citations per year

Countries citing papers authored by Mohammad Al-Fawa’reh

Since Specialization
Citations

This map shows the geographic impact of Mohammad Al-Fawa’reh'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 Mohammad Al-Fawa’reh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Al-Fawa’reh more than expected).

Fields of papers citing papers by Mohammad Al-Fawa’reh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Al-Fawa’reh. 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 Mohammad Al-Fawa’reh. The network helps show where Mohammad Al-Fawa’reh may publish in the future.

Co-authors

The 19 scholars most cited alongside Mohammad Al-Fawa’reh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Al-Fawa’reh Line = papers co-authored together Mohammad Al-Fawa’reh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202348
3 202137
4 202226
5 202019
6 202018
7 202118
8 202210
9 202010
10 20249
11 20217
12 20217
13 20206
14 20225
15 20215
16 20224
17 20222
18 20212
19 20222
20 20241

About Mohammad Al-Fawa’reh

Mohammad Al-Fawa’reh is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 318 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (9 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Anomaly Detection Techniques and Applications (5 papers), Spam and Phishing Detection (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Digital and Cyber Forensics (2 papers) and Currency Recognition and Detection (2 papers). The work is most often cited by research in Signal Processing (105 citations), Computer Networks and Communications (144 citations), Artificial Intelligence (194 citations), Information Systems (81 citations) and Computer Vision and Pattern Recognition (40 citations). Mohammad Al-Fawa’reh has collaborated with scholars based in Jordan, Australia and Saudi Arabia. Frequent co-authors include Mustafa Al‐Fayoumi, Shadi Nashwan, James Jin Kang, Jumana Abu-Khalaf, Patryk Szewczyk, Bassam Hammo, Maria Habib, Ammar Elhassan, Ibrahim Aljarah and Hossam Faris. Their work appears in journals such as Journal of Network and Computer Applications, IEEE Internet of Things Journal, Egyptian Informatics Journal, Computers & Security and Computers, materials & continua/Computers, materials & continua (Print).

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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