Mohammed Aloraini

25 total papers · 543 total citations
21 papers, 368 citations indexed

About

Mohammed Aloraini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Mohammed Aloraini has authored 21 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Mohammed Aloraini's work include Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Chaos-based Image/Signal Encryption (4 papers). Mohammed Aloraini is often cited by papers focused on Digital Media Forensic Detection (8 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Chaos-based Image/Signal Encryption (4 papers). Mohammed Aloraini collaborates with scholars based in Saudi Arabia, United States and Pakistan. Mohammed Aloraini's co-authors include Mehdi Sharifzadeh, Dan Schonfeld, Muhammad Islam, Shabana Habib, Suliman Aladhadh, Taimoor Ashraf Khan, Sheroz Khan, Mohammed F. Alsharekh, Chirag Agarwal and Saleh Alyahya and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Mohammed Aloraini

20 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohammed Aloraini 223 108 47 40 26 21 368
Saif Ur Rehman Khan 103 0.5× 130 1.2× 124 2.6× 15 0.4× 22 0.8× 31 340
Chetna Kaushal 91 0.4× 202 1.9× 42 0.9× 23 0.6× 35 1.3× 43 430
Esraa Hassan 116 0.5× 126 1.2× 52 1.1× 14 0.3× 7 0.3× 35 407
Hritam Basak 184 0.8× 218 2.0× 40 0.9× 47 1.2× 54 2.1× 11 396
Ghadah Naif Alwakid 50 0.2× 160 1.5× 19 0.4× 67 1.7× 31 1.2× 38 336
Junaid Tariq 230 1.0× 97 0.9× 64 1.4× 19 0.5× 11 0.4× 31 381
Asma Naseer 120 0.5× 162 1.5× 105 2.2× 34 0.8× 13 0.5× 26 365
Saqib Qamar 158 0.7× 118 1.1× 76 1.6× 37 0.9× 24 0.9× 22 376
Rishav Pramanik 97 0.4× 197 1.8× 37 0.8× 6 0.1× 60 2.3× 14 368
Rarasmaya Indraswari 78 0.3× 118 1.1× 27 0.6× 53 1.3× 21 0.8× 41 384

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

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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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