Mohammed Anbar

5.7k citations
159 papers · 3.4k · 2 hit papers · h-index 32

Impact in

Papers in

Mohammed Anbar

151 papers receiving 3.2k citations

Mohammed Anbar's Hit Papers

Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review 2025 · 21 citations
210+3+6Years since publication100200300

Peers

Mohammed Anbar
Comparison fields: 5 of 145
  • Computer Networks and Communications 2.4k
  • Signal Processing 786
  • Artificial Intelligence 1.2k
  • Information Systems 611
  • Hardware and Architecture 152
Replace Prabhat Kumar with:
Prabhat Kumar India
Ali Ghaffari Iran
Xiaohong Jiang Japan
Yanbing Liu China
Yao Guo China
Mansoor Alam United States
Beibei Li China
Jianping Pan Canada
Dezhi Han China
Ruyan Wang China
Mohammed Anbar relative to Prabhat Kumar India Prabhat Kumar's profile →
Citations per field
00.5×10×15×20×25×
Prabhat Kumar · 1×
Citations per year

Countries citing papers authored by Mohammed Anbar

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Anbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Internet of Things (IoT) communication protocols: Review
Hit paper breakdown →
2017318
2 2020123
3 2020115
4 1966108
5 202093
6 201974
7 202066
8 202065
9 201964
10 202063
11 202362
12 202258
13 201956
14 201854
15 202252
16 201950
17 201648
18 202146
19 202346
20 202144

About Mohammed Anbar

Mohammed Anbar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Information Systems, having authored 159 papers that have together received 3.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (97 papers), Internet Traffic Analysis and Secure E-voting (64 papers), Advanced Malware Detection Techniques (45 papers), Software-Defined Networks and 5G (19 papers), Vehicular Ad Hoc Networks (VANETs) (18 papers), Network Packet Processing and Optimization (16 papers), Advanced Authentication Protocols Security (12 papers) and IPv6, Mobility, Handover, Networks, Security (11 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Signal Processing (786 citations), Artificial Intelligence (1.2k citations), Information Systems (611 citations) and Hardware and Architecture (152 citations). Mohammed Anbar has collaborated with scholars based in Malaysia, Saudi Arabia and Jordan. Frequent co-authors include Selvakumar Manickam, Iznan H. Hasbullah, ‪Mahmood A. Al-Shareeda‬‏, Kamal Alieyan, Rosni Abdullah, Mahmood Alzubaidi, Bahari Belaton, Taief Alaa Al-Amiedy, Basim Ahmad Alabsi and Mohammad Adnan Aladaileh. Their work appears in journals such as IEEE Access, Sensors, Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences and Symmetry.

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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