Majdi Maabreh

518 citations
20 papers · 259 indexed · h-index 7
Topics
Advanced Proteomics Techniques and Applications (4 papers)Network Security and Intrusion Detection (4 papers)Machine Learning in Bioinformatics (3 papers)

In The Last Decade

Majdi Maabreh

18 papers receiving 249 citations

Peers

Majdi Maabreh
Comparison fields: 5 of 80
  • Artificial Intelligence 78
  • Information Systems 58
  • Computer Networks and Communications 51
  • Media Technology 38
  • Sociology and Political Science 35
Replace Muhammad Ehsan Rana with:
Muhammad Ehsan Rana Malaysia
Rubén Sánchez Spain
Abubakar Zakari Malaysia
Chitra Balakrishna United Kingdom
Christian Fernández‐Campusano Chile
Yongping Du China
Aritz Bilbao-Jayo Spain
Patrizia Ribino Italy
Umer Majeed South Korea
Francesco Nocera Italy
Majdi Maabreh relative to Muhammad Ehsan Rana Malaysia Muhammad Ehsan Rana's profile →
Citations per field
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Citations per year

Countries citing papers authored by Majdi Maabreh

Since Specialization
Citations

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

Fields of papers citing papers by Majdi Maabreh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majdi Maabreh

This figure shows the co-authorship network connecting the top 25 collaborators of Majdi Maabreh. A scholar is included among the top collaborators of Majdi Maabreh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Majdi Maabreh. Majdi Maabreh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 12
3 24
4 8
5 6
6 3
7 4
8 1
9 3
10 29
11 11
12 2
13 136
14 1
15 1
16 0
17 3
18
A Survey of Impact and Citation Indices: Limitations and Issues
11
19 0
20 3

About Majdi Maabreh

Majdi Maabreh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Spectroscopy, having authored 20 papers that have together received 259 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Network Security and Intrusion Detection (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Health Informatics (7 citations), Media Technology (38 citations) and Transportation (21 citations). Majdi Maabreh has collaborated with scholars based in Jordan, United States and Saudi Arabia. Frequent co-authors include Khalil Khan, Kashif Ahmad, Ala Al‐Fuqaha, Junaid Qadir, Ghassan Almasabha, Omar Darwish, Yahya Tashtoush, Izzat Alsmadi, Belal Alsinglawi and Ajay Gupta. Their work appears in journals such as Multimedia Tools and Applications, Computer Science Review and Arabian Journal for Science and Engineering.

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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