Madjid Merabti

1.7k citations
115 papers · 980 indexed · h-index 16

Madjid Merabti

109 papers receiving 895 citations

Peers

Madjid Merabti
Comparison fields: 5 of 83
  • Computer Networks and Communications 463
  • Information Systems 284
  • Computer Vision and Pattern Recognition 242
  • Signal Processing 99
  • Artificial Intelligence 212
Replace Giuseppe Di Fatta with:
Giuseppe Di Fatta United Kingdom
Daniel Díaz-Sánchez Spain
Karan Mitra Sweden
Johan Lilius Finland
Yongfeng Qian China
Dongman Lee South Korea
Andrés Marín Spain
Haojun Huang China
Salekul Islam Bangladesh
Markus Endler Brazil
Madjid Merabti relative to Giuseppe Di Fatta United Kingdom Giuseppe Di Fatta's profile →
Citations per field
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Citations per year

Countries citing papers authored by Madjid Merabti

Since Specialization
Citations

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

Fields of papers citing papers by Madjid Merabti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20177
2 20145
3 201417
4
Detecting Software Aging in safety-critical infrastuctures
20133
5 20136
6
A performance cost evaluation of aspect weaving
20131
7 201210
8
Pypette: A Framework for the Evaluation of Live Digital Forensic Acquisition Techniques.
20121
9 20125
10
Scalable Distributed Signature Detection.
20121
11 201295
12 20124
13 201112
14 20111
15 201116
16 20105
17 20102
18 20078
19 200733
20
Higher order neural networks and their applications to financial time series prediction.
20063

About Madjid Merabti

Madjid Merabti is a scholar working on Computer Networks and Communications, Information Systems and Computer Graphics and Computer-Aided Design, having authored 115 papers that have together received 980 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (19 papers), Peer-to-Peer Network Technologies (15 papers), Caching and Content Delivery (14 papers), Mobile Ad Hoc Networks (14 papers), Network Security and Intrusion Detection (13 papers), Context-Aware Activity Recognition Systems (12 papers), Advanced Malware Detection Techniques (10 papers) and Information and Cyber Security (8 papers). The work is most often cited by research in Computer Networks and Communications (463 citations), Information Systems (284 citations) and Computer Vision and Pattern Recognition (242 citations). Madjid Merabti has collaborated with scholars based in United Kingdom, United Arab Emirates and Pakistan. Frequent co-authors include Kashif Kifayat, David Llewellyn‐Jones, Chunlin Song, Sud Sudirman, Paul Fergus, Sohail Abbas, Abdennour El Rhalibi, Qi Shi, William Hurst and Fayçal Bouhafs. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Access.

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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