Amir Valizadeh

514 citations
27 papers · 331 indexed · h-index 9

Amir Valizadeh

24 papers receiving 324 citations

Peers

Amir Valizadeh
Comparison fields: 5 of 104
  • Health Informatics 12
  • Computer Vision and Pattern Recognition 130
  • Signal Processing 30
  • Immunology 43
  • Computational Mathematics 1
Replace Muhammad Ibrahim with:
Muhammad Ibrahim Pakistan
Joshua Levy United States
Bartłomiej Stasiak Poland
Morghan Hartmann United States
Richard E. Blake United States
Hsiao-Han Wang Taiwan
Sunil Kumar Yadav Germany
Αλέξανδρος Παπαδόπουλος Greece
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Citations per field
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Citations per year

Countries citing papers authored by Amir Valizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Amir Valizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amir Valizadeh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amir Valizadeh Line = papers co-authored together Amir Valizadeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202316
4 20224
5 202271
6 202217
7 20225
8 202117
9 201911
10 201732
11 20176
12 20125
13 20111
14 201174
15 20101
16 200910
17 20091
18 20084
19 20070
20 20071

About Amir Valizadeh

Amir Valizadeh is a scholar working on Health Informatics, Signal Processing, Virology, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine, having authored 27 papers that have together received 331 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (7 papers), Advanced Steganography and Watermarking Techniques (7 papers), Direction-of-Arrival Estimation Techniques (5 papers), Speech and Audio Processing (4 papers), Multiple Sclerosis Research Studies (4 papers), Digital Media Forensic Detection (4 papers), Advanced Adaptive Filtering Techniques (3 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Health Informatics (12 citations), Computer Vision and Pattern Recognition (130 citations), Signal Processing (30 citations), Immunology (43 citations) and Computational Mathematics (1 citation). Amir Valizadeh has collaborated with scholars based in Iran, Canada and United States. Frequent co-authors include Z. Jane Wang, Reyhaneh Aghajani, Shahriar Faghani, Amin Nakhostin-Ansari, Mahmood Karimi, Asghar Aghamohammadi, Gholamreza Azizi, Hassan Abolhassani, Mohammad Ali Sahraian and Faezeh Aghajani. Their work appears in journals such as CNS Neuroscience & Therapeutics, IEEE Transactions on Information Forensics and Security, Frontiers in Psychiatry, International Journal of Molecular Sciences and Immunology Letters.

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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