Mohammed Anbar

5.5k citations
159 papers · 3.3k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Mohammed Anbar

148 papers receiving 3.1k citations

Hit Papers

Internet of Things (IoT) communication protocols: Review 2017 · 316 citations
3162017202620202023100200300

Peers

Mohammed Anbar
Comparison fields: 5 of 145
  • Computer Networks and Communications 2.3k
  • Signal Processing 767
  • Artificial Intelligence 1.2k
  • Information Systems 590
  • Hardware and Architecture 151
Replace Prabhat Kumar with:
Prabhat Kumar India
Xiaohong Jiang Japan
Yanbing Liu China
Jianping Pan Canada
Beibei Li China
Balamurugan Balusamy India
Dezhi Han China
Ruyan Wang China
Chen Wang China
Jing Deng United States
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-authorship network

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
#Work
1 20251
2 20250
3 202417
4 20245
5 20246
6 202315
7 20230
8 20237
9 20237
10 202310
11 20230
12 202333
13 202255
14 202220
15 20221
16 202213
17 20227
18 202227
19 20207
20 201725

About Mohammed Anbar

Mohammed Anbar is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Hardware and Architecture and Information Systems, having authored 159 papers that have together received 3.3k 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 (2.3k citations), Signal Processing (767 citations), Artificial Intelligence (1.2k citations), Information Systems (590 citations) and Hardware and Architecture (151 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, Bahari Belaton, Taief Alaa Al-Amiedy, Basim Ahmad Alabsi, Mohammad Adnan Aladaileh and Tat‐Chee Wan. 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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