Alaa M. Abbas

43 total papers · 706 total citations
35 papers, 527 citations indexed

About

Alaa M. Abbas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Alaa M. Abbas has authored 35 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Alaa M. Abbas's work include Chaos-based Image/Signal Encryption (15 papers), Cryptographic Implementations and Security (7 papers) and Advanced Steganography and Watermarking Techniques (7 papers). Alaa M. Abbas is often cited by papers focused on Chaos-based Image/Signal Encryption (15 papers), Cryptographic Implementations and Security (7 papers) and Advanced Steganography and Watermarking Techniques (7 papers). Alaa M. Abbas collaborates with scholars based in Egypt, Saudi Arabia and United Kingdom. Alaa M. Abbas's co-authors include Saleh Ibrahim, El‐Sayed M. El‐Rabaie, Fathi E. Abd El‐Samie, Osama S. Faragallah, Saleh A. Alshebeili, Moawad I. Dessouky, Hala S. El‐sayed, Hesham Alhumyani, Ghulam Muhammad and M. Shamim Hossain and has published in prestigious journals such as IEEE Access, Information Sciences and International Journal of Remote Sensing.

In The Last Decade

Alaa M. Abbas

33 papers receiving 501 citations

Author Peers

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

Author Last Decade Papers Cites
Alaa M. Abbas 410 166 105 52 44 35 527
Khalid Zenkouar 386 0.9× 156 0.9× 32 0.3× 37 0.7× 74 1.7× 50 573
Xin Hou 425 1.0× 91 0.5× 131 1.2× 28 0.5× 66 1.5× 21 598
Juliano B. Lima 475 1.2× 185 1.1× 117 1.1× 86 1.7× 10 0.2× 53 582
Yurong Wang 518 1.3× 115 0.7× 30 0.3× 57 1.1× 84 1.9× 28 565
Omar El Ogri 402 1.0× 76 0.5× 61 0.6× 15 0.3× 73 1.7× 28 531
Mohamed F. Abu‐Elyazeed 312 0.8× 93 0.6× 56 0.5× 64 1.2× 25 0.6× 35 540
Xianwei Rong 408 1.0× 76 0.5× 20 0.2× 35 0.7× 46 1.0× 34 526
Samar M. Ismail 337 0.8× 114 0.7× 50 0.5× 75 1.4× 40 0.9× 32 524
Haiyang Wu 467 1.1× 116 0.7× 22 0.2× 52 1.0× 16 0.4× 23 570
Rong Ge 143 0.3× 191 1.2× 92 0.9× 75 1.4× 39 0.9× 28 578

Countries citing papers authored by Alaa M. Abbas

Since Specialization
Citations

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

Fields of papers citing papers by Alaa M. Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alaa M. Abbas. 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 Alaa M. Abbas. The network helps show where Alaa M. Abbas may publish in the future.

Co-authorship network of co-authors of Alaa M. Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Alaa M. Abbas. A scholar is included among the top collaborators of Alaa M. Abbas 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 Alaa M. Abbas. Alaa M. Abbas 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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