Mohammed Aljebreen

614 citations
32 papers · 316 · h-index 9

Impact in

Papers in

Mohammed Aljebreen

30 papers receiving 300 citations

Peers

Mohammed Aljebreen
Comparison fields: 5 of 75
  • Computer Science Applications 29
  • Computer Networks and Communications 109
  • Information Systems 75
  • Artificial Intelligence 99
  • Signal Processing 30
Replace Salam Al-E’mari with:
Salam Al-E’mari Jordan
Mukta Goyal India
Ladislav Huraj Slovakia
Giti Javidi United States
Saumay Pushp South Korea
Christophe Gravier France
Michele Scalera Italy
Yishuai Chen China
Randal Abler United States
Huibing Zhang China
Mohammed Aljebreen relative to Salam Al-E’mari Jordan Salam Al-E’mari's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed Aljebreen

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Aljebreen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammed Aljebreen, 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 Mohammed Aljebreen Line = papers co-authored together Mohammed Aljebreen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 202244
3 202224
4 202221
5 202316
6 202310
7 202210
8 20248
9 20248
10 20238
11 20238
12 20227
13 20227
14 20225
15 20244
16 20224
17 20244
18 20223
19 20233
20 20231

About Mohammed Aljebreen

Mohammed Aljebreen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 316 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Malware Detection Techniques (6 papers), IoT and Edge/Fog Computing (5 papers), Spam and Phishing Detection (4 papers), Anomaly Detection Techniques and Applications (4 papers), Text and Document Classification Technologies (3 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Computer Science Applications (29 citations), Computer Networks and Communications (109 citations), Information Systems (75 citations), Artificial Intelligence (99 citations) and Signal Processing (30 citations). Mohammed Aljebreen has collaborated with scholars based in Saudi Arabia, Egypt and India. Frequent co-authors include Karzan Wakil, Mashael Maashi, Salil Bharany, Sarvesh Tanwar, Neelam Gupta, Sumit Badotra, Abidemi Emmanuel Adeniyi, Akashdeep Bhardwaj, Mohamed K. Nour and Keshav Kaushik. Their work appears in journals such as Sustainability, Alexandria Engineering Journal, Sensors, Fractals and Scientific Reports.

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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