Mahboubeh Nazari

475 citations
12 papers · 377 indexed · h-index 8
Topics
Chaos-based Image/Signal Encryption (8 papers)Advanced Steganography and Watermarking Techniques (7 papers)Digital Media Forensic Detection (4 papers)
Partner nations
Iran

In The Last Decade

Mahboubeh Nazari

11 papers receiving 360 citations

Peers

Mahboubeh Nazari
Comparison fields: 5 of 29
  • Computer Vision and Pattern Recognition 229
  • Computer Networks and Communications 120
  • Artificial Intelligence 105
  • Information Systems 62
  • Signal Processing 61
Replace Iman Qays Abduljaleel with:
Iman Qays Abduljaleel Iraq
Qiuyu Zhang China
Omid Mirzaei Spain
Xiaocheng Hu China
Adel R. Alharbi Saudi Arabia
Frédéric Raynal France
R. S. Bhuvaneswaran India
Anissa Sghaier Tunisia
Carlos H. C. Teixeira Brazil
Zechao Shang United States
Mahboubeh Nazari relative to Iman Qays Abduljaleel Iraq Iman Qays Abduljaleel's profile →
Citations per field
00.5×10×20×30×39×
Iman Qays Abduljaleel · 1×
Citations per year

Countries citing papers authored by Mahboubeh Nazari

Since Specialization
Citations

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

Fields of papers citing papers by Mahboubeh Nazari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahboubeh Nazari

This figure shows the co-authorship network connecting the top 25 collaborators of Mahboubeh Nazari. A scholar is included among the top collaborators of Mahboubeh Nazari 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 Mahboubeh Nazari. Mahboubeh Nazari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 7
2 1
3 21
4 44
5 5
6 38
7 96
8 42
9 30
10 88
11 5
12 0

About Mahboubeh Nazari

Mahboubeh Nazari is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (8 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Signal Processing (61 citations) and Computer Networks and Communications (120 citations). Mahboubeh Nazari has collaborated with scholars based in Iran. Frequent co-authors include Ebrahim A. Gharavol, Hamed Arshad and Morteza Nikooghadam. Their work appears in journals such as IEEE Communications Letters, International Journal of Bifurcation and Chaos and Multimedia Tools and Applications.

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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