Moatsum Alawida

3.5k citations
64 papers · 2.3k indexed · 2 hit papers · h-index 28
Topics
Chaos-based Image/Signal Encryption (33 papers)Advanced Steganography and Watermarking Techniques (12 papers)Cellular Automata and Applications (10 papers)

In The Last Decade

Moatsum Alawida

55 papers receiving 2.2k citations

Hit Papers

A new hybrid digital chaotic system with applications in ...201920262021202320192021100200300

Peers

Moatsum Alawida
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 643
  • Information Systems 369
  • Computer Networks and Communications 356
  • Computational Theory and Mathematics 333
Replace Seong Oun Hwang with:
Seong Oun Hwang South Korea
Tamir Tassa Israel
Adnan Gutub Saudi Arabia
Hyoungshick Kim South Korea
Stefan Katzenbeisser Germany
Kamalika Chaudhuri United States
Alfred Menezes Canada
Shouhuai Xu United States
Jun Zhou China
Feng Hao United Kingdom
Moatsum Alawida relative to Seong Oun Hwang South Korea Seong Oun Hwang's profile →
Citations per field
00.5×1.5×1.9×
Seong Oun Hwang · 1×
Citations per year

Countries citing papers authored by Moatsum Alawida

Since Specialization
Citations

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

Fields of papers citing papers by Moatsum Alawida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moatsum Alawida

This figure shows the co-authorship network connecting the top 25 collaborators of Moatsum Alawida. A scholar is included among the top collaborators of Moatsum Alawida 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 Moatsum Alawida. Moatsum Alawida 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 0
2 2
3 6
4 16
5 0
6 2
7 21
8 8
9 0
10 20
11 87
12 39
13 38
14 0
15 10
16 10
17 83
18 50
19 22
20 61

About Moatsum Alawida

Moatsum Alawida is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Signal Processing, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (33 papers), Advanced Steganography and Watermarking Techniques (12 papers) and Cellular Automata and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Health Informatics (64 citations) and Mathematical Physics (239 citations). Moatsum Alawida has collaborated with scholars based in United Arab Emirates, Malaysia and Nigeria. Frequent co-authors include Je Sen Teh, Azman Samsudin, Wafa’ Hamdan Alshoura, Rami S. Alkhawaldeh, Abiodun Esther Omolara, Oludare Isaac Abiodun, Abid Mehmood, Humaira Arshad, Abdullah Alabdulatif and Abdulatif Alabdulatif. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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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