Morteza Valizadeh

476 citations
42 papers · 301 indexed · h-index 9
Topics
AI in cancer detection (8 papers)Handwritten Text Recognition Techniques (6 papers)Image and Object Detection Techniques (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
Partner nations
IranIraqTürkiye

In The Last Decade

Morteza Valizadeh

39 papers receiving 285 citations

Peers

Morteza Valizadeh
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 116
  • Electrical and Electronic Engineering 54
  • Cognitive Neuroscience 49
  • Artificial Intelligence 48
  • Aerospace Engineering 44
Replace Homayoun Mahdavi‐Nasab with:
Homayoun Mahdavi‐Nasab Iran
Abdenour Amamra Algeria
Wenxin Huang China
Qi Han China
Leandro B. Marinho Brazil
Zhenghao Shi China
Linfeng Jiang China
Liming Tang China
Srenivas Varadarajan United States
Morteza Valizadeh relative to Homayoun Mahdavi‐Nasab Iran Homayoun Mahdavi‐Nasab's profile →
Citations per field
00.5×10×
Homayoun Mahdavi‐Nasab · 1×
Citations per year

Countries citing papers authored by Morteza Valizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Valizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Valizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Morteza Valizadeh. A scholar is included among the top collaborators of Morteza Valizadeh 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 Morteza Valizadeh. Morteza Valizadeh 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
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6 29
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11 28
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About Morteza Valizadeh

Morteza Valizadeh is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Informatics, having authored 42 papers that have together received 301 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Handwritten Text Recognition Techniques (6 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Media Technology (37 citations) and Cognitive Neuroscience (49 citations). Morteza Valizadeh has collaborated with scholars based in Iran, Iraq and Türkiye. Frequent co-authors include Mehdi Chehel Amirani, Ehsanollah Kabir, Samad Ali, Narges Armanfard, Majid Komeili, A. F. M. Shahen Shah, Aref Mardani, Mehdi Taghizadeh, Ata Abbasi and Ali Ghafari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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