Mohammed Aloraini

557 citations
21 papers · 376 indexed · h-index 10
Topics
Digital Media Forensic Detection (8 papers)Advanced Steganography and Watermarking Techniques (5 papers)Chaos-based Image/Signal Encryption (4 papers)

In The Last Decade

Mohammed Aloraini

20 papers receiving 360 citations

Peers

Mohammed Aloraini
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 227
  • Artificial Intelligence 109
  • Neurology 49
  • Oncology 42
  • Radiology, Nuclear Medicine and Imaging 27
Replace Ibtissam Bakkouri with:
Ibtissam Bakkouri Morocco
Saif Ur Rehman Khan China
Hritam Basak India
Walaa Gouda Saudi Arabia
Chetna Kaushal India
Sameh Abd El-Ghany Saudi Arabia
K. P. Sanal Kumar India
Masum Shah Junayed Türkiye
Junaid Tariq Pakistan
Mohamed Sakr Egypt
Mohammed Aloraini relative to Ibtissam Bakkouri Morocco Ibtissam Bakkouri's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammed Aloraini

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Aloraini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Aloraini

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Aloraini. A scholar is included among the top collaborators of Mohammed Aloraini 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 Mohammed Aloraini. Mohammed Aloraini 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 2
2 0
3 1
4 27
5 45
6 11
7 19
8 2
9 66
10 9
11 30
12 3
13 11
14 5
15 66
16 6
17 1
18 14
19 9
20 1

About Mohammed Aloraini

Mohammed Aloraini is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Virology, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Neurology (49 citations) and Virology (17 citations). Mohammed Aloraini has collaborated with scholars based in Saudi Arabia, United States and Pakistan. Frequent co-authors include Dan Schonfeld, Mehdi Sharifzadeh, Muhammad Islam, Shabana Habib, Suliman Aladhadh, Taimoor Ashraf Khan, Sheroz Khan, Mohammed F. Alsharekh, Chirag Agarwal and Saleh Alyahya. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Circuits and Systems for Video Technology.

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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