Mahdad Esmaeili

540 total citations
28 papers, 390 citations indexed

About

Mahdad Esmaeili is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahdad Esmaeili has authored 28 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Ophthalmology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahdad Esmaeili's work include Retinal Imaging and Analysis (10 papers), Glaucoma and retinal disorders (8 papers) and Cardiovascular Disease and Adiposity (4 papers). Mahdad Esmaeili is often cited by papers focused on Retinal Imaging and Analysis (10 papers), Glaucoma and retinal disorders (8 papers) and Cardiovascular Disease and Adiposity (4 papers). Mahdad Esmaeili collaborates with scholars based in Iran, United Kingdom and Australia. Mahdad Esmaeili's co-authors include Hossein Rabbani, Alireza Dehghani, Alireza Mehri Dehnavi, Seyed Hossein Rasta, Fedra Hajizadeh, Hamid Tayebi Khosroshahi, Ahmad Mobed, Ali Nasimi, Hojjatallah Alaei and Yashar Sarbaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition.

In The Last Decade

Mahdad Esmaeili

26 papers receiving 380 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mahdad Esmaeili Iran 11 204 148 109 76 37 28 390
Michael Kawczynski United States 5 232 1.1× 86 0.6× 51 0.5× 58 0.8× 30 0.8× 10 486
Carmen Alina Lupaşcu Italy 12 585 2.9× 511 3.5× 330 3.0× 20 0.3× 31 0.8× 30 730
Elvira Orduna Spain 12 194 1.0× 296 2.0× 20 0.2× 68 0.9× 89 2.4× 22 485
Yan Tong China 10 286 1.4× 176 1.2× 49 0.4× 23 0.3× 28 0.8× 32 435
Ce Shi China 15 286 1.4× 354 2.4× 13 0.1× 64 0.8× 71 1.9× 39 545
T. Hara Japan 9 84 0.4× 86 0.6× 13 0.1× 29 0.4× 34 0.9× 27 344
Tatsuhisa Takahashi Japan 14 184 0.9× 149 1.0× 9 0.1× 113 1.5× 75 2.0× 50 679
Weihong Yu China 12 154 0.8× 156 1.1× 25 0.2× 25 0.3× 92 2.5× 37 369
Lesya Shuba Canada 8 281 1.4× 323 2.2× 78 0.7× 22 0.3× 106 2.9× 14 468
Iiris Sorri Finland 10 683 3.3× 565 3.8× 352 3.2× 17 0.2× 53 1.4× 17 896

Countries citing papers authored by Mahdad Esmaeili

Since Specialization
Citations

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

Fields of papers citing papers by Mahdad Esmaeili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdad Esmaeili

This figure shows the co-authorship network connecting the top 25 collaborators of Mahdad Esmaeili. A scholar is included among the top collaborators of Mahdad Esmaeili 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 Mahdad Esmaeili. Mahdad Esmaeili 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
1.
Esmaeili, Mahdad, et al.. (2025). Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform. Scientific Reports. 15(1). 41470–41470.
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Esmaeili, Mahdad, et al.. (2023). Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory. Journal of Medical Signals & Sensors. 13(2). 92–100.
4.
Rahbarghazi‬, Reza, et al.. (2023). Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis. Cardiovascular Diabetology. 22(1). 247–247. 11 indexed citations
5.
Esmaeili, Mahdad, et al.. (2022). A Robust Machine learning based method to classify normal and abnormal CT scan images of mastoid air cells. Health and Technology. 12(2). 491–498. 5 indexed citations
6.
Esmaeili, Mahdad, et al.. (2022). Classification of mastoid air cells by CT scan images using deep learning method. Journal Of Big Data. 9(1). 7 indexed citations
7.
Esmaeili, Mahdad, et al.. (2021). Automatic classification of schizophrenia patients using resting-state EEG signals. Physical and Engineering Sciences in Medicine. 44(3). 855–870. 26 indexed citations
8.
Keshtkar, Ahmad, et al.. (2021). Correlation Between Heart Mediastinal and Epicardial Fat Volumes and Coronary Artery Disease Based on Computed Tomography Images. Griffith Research Online (Griffith University, Queensland, Australia). 22(3). 53–63. 3 indexed citations
9.
Rahimi, Fariborz, et al.. (2021). Neural activity in self-identified claustrophobic individuals under in-vivo stimuli: A human electroencephalography dataset. SHILAP Revista de lepidopterología. 40. 107733–107733. 3 indexed citations
10.
Keshtkar, Ahmad, et al.. (2020). Segmentation of cardiac fats based on Gabor filters and relationship of adipose volume with coronary artery disease using FP-Growth algorithm in CT scans. Biomedical Physics & Engineering Express. 6(5). 55009–55009. 6 indexed citations
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Keshtkar, Ahmad, et al.. (2019). Segmentation of Cardiac Epicardial and Pericardial Fats by Using Gabor Filter Bank Based GLCM. 43. 177–182. 1 indexed citations
13.
Esmaeili, Mahdad, et al.. (2017). Speckle Noise Reduction in Optical Coherence Tomography Using Two-dimensional Curvelet-based Dictionary Learning. Journal of Medical Signals & Sensors. 7(2). 86–86. 20 indexed citations
14.
Esmaeili, Mahdad, et al.. (2017). 3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images. Journal of Electrical and Computer Engineering. 2017. 1–12. 8 indexed citations
15.
Esmaeili, Mahdad, et al.. (2016). Three-dimensional segmentation of retinal cysts from spectral-domain optical coherence tomography images by the use of three-dimensional curvelet based K-SVD. Journal of Medical Signals & Sensors. 6(3). 166–166. 36 indexed citations
16.
Esmaeili, Mahdad, et al.. (2012). Automatic detection of exudates and optic disk in retinal images using curvelet transform. IET Image Processing. 6(7). 1005–1013. 43 indexed citations
17.
Esmaeili, Mahdad, Hossein Rabbani, & Alireza Mehri Dehnavi. (2012). Automatic optic disk boundary extraction by the use of curvelet transform and deformable variational level set model. Pattern Recognition. 45(7). 2832–2842. 40 indexed citations
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Esmaeili, Mahdad, et al.. (2009). Extraction of retinal blood vessels by curvelet transform. 3353–3356. 25 indexed citations
20.
Alaei, Hojjatallah, et al.. (2005). Ascorbic acid decreases morphine self-administration and withdrawal symptoms in rats. Pathophysiology. 12(2). 103–107. 26 indexed citations

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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