Emad Fatemizadeh

1.7k citations
120 papers · 1.1k indexed · h-index 18

Emad Fatemizadeh

116 papers receiving 1.1k citations

Peers

Emad Fatemizadeh
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 498
  • Radiology, Nuclear Medicine and Imaging 308
  • Neurology 103
  • Media Technology 90
  • Signal Processing 97
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Countries citing papers authored by Emad Fatemizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Emad Fatemizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Emad Fatemizadeh, 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 Emad Fatemizadeh Line = papers co-authored together Emad Fatemizadeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 202310
5 20211
6 20215
7 202010
8 201995
9 20172
10
Cardiac Contraction Motion Correction in Gated Myocardial Perfusion SPECT Projection Domain
20153
11
MRI and PET Image Fusion by Using Curvelet Transform
20142
12 20122
13
A New Watermarking Algorithm Based on Human Visual System for Content Integrity Verification of Region of Interest
20123
14
Diagnostic Efficacy of All Series of Dynamic Contrast Enhanced Breast MR Images Using Gradient Vector Flow (GVF) Segmentation and Novel Border Feature Extraction for Differentiation Between Malignant and Benign Breast Lesions
20105
15 20101
16
Multi-view face detection and recognition under varying illumination conditions by designing an illumination effect cancelling filter
20081
17
A Machine Vision Measurement of Still Billet Camber During Molding Process
20071
18
Breast Cancer Diagnosis and Classification in MR-images using Multi-stage classifier
20064
19
Discrimination between alzheimer's disease and control group in MR-images based on texture analysis using artificial neural network
200616
20 200317

About Emad Fatemizadeh

Emad Fatemizadeh is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 120 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (31 papers), Image Retrieval and Classification Techniques (22 papers), Functional Brain Connectivity Studies (17 papers), AI in cancer detection (14 papers), Sparse and Compressive Sensing Techniques (11 papers), Face and Expression Recognition (11 papers), Advanced MRI Techniques and Applications (11 papers) and Brain Tumor Detection and Classification (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (498 citations), Radiology, Nuclear Medicine and Imaging (308 citations) and Neurology (103 citations). Emad Fatemizadeh has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Mohammad H. Mahoor, Aboozar Ghaffari, Steven Daveluy, Amin Sedaghat, Jamshid Shanbehzadeh, Darius Mehregan, Habib Zaidi, Hossein Arabi, Alireza Karimian and Hamid Soltanian‐Zadeh. Their work appears in journals such as Medical Physics, IEEE Access, Journal of Visual Communication and Image Representation, Computer Methods and Programs in Biomedicine and IEEE Transactions on Medical Imaging.

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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