Saeed Kermani

812 total citations
40 papers, 608 citations indexed

About

Saeed Kermani is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Saeed Kermani has authored 40 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Saeed Kermani's work include ECG Monitoring and Analysis (5 papers), Advanced Neural Network Applications (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Saeed Kermani is often cited by papers focused on ECG Monitoring and Analysis (5 papers), Advanced Neural Network Applications (5 papers) and EEG and Brain-Computer Interfaces (5 papers). Saeed Kermani collaborates with scholars based in Iran, United States and Sweden. Saeed Kermani's co-authors include Rahele Kafieh, Hossein Rabbani, Ardeshir Talebi, Mohammadreza Sehhati, Daryoush Shahbazi‐Gahrouei, Mahnaz Etehadtavakol, Saeed Karbasi, Shahnaz Razavi, Marzieh Salimi and Hamid Sanei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computer Methods and Programs in Biomedicine.

In The Last Decade

Saeed Kermani

36 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeed Kermani Iran 11 264 245 205 148 125 40 608
Žiga Špiclin Slovenia 14 259 1.0× 298 1.2× 134 0.7× 63 0.4× 62 0.5× 53 714
Jim Graham United Kingdom 20 260 1.0× 127 0.5× 87 0.4× 84 0.6× 274 2.2× 39 1.2k
Tahir Mahmood South Korea 13 342 1.3× 192 0.8× 77 0.4× 232 1.6× 88 0.7× 30 620
Nancy M. Salem Egypt 12 326 1.2× 606 2.5× 59 0.3× 268 1.8× 131 1.0× 45 914
A.M. Vossepoel Netherlands 15 259 1.0× 334 1.4× 70 0.3× 31 0.2× 123 1.0× 59 731
Phillip Chlap Australia 10 359 1.4× 182 0.7× 117 0.6× 198 1.3× 9 0.1× 30 792
Salman Khan United States 6 299 1.1× 244 1.0× 131 0.6× 249 1.7× 17 0.1× 18 742
Ebrahim Mohammed Senan Saudi Arabia 21 427 1.6× 328 1.3× 91 0.4× 609 4.1× 27 0.2× 31 1.3k
Zhemin Zhuang China 18 391 1.5× 297 1.2× 66 0.3× 420 2.8× 30 0.2× 56 850
Haidar Almubarak Saudi Arabia 11 141 0.5× 134 0.5× 70 0.3× 254 1.7× 36 0.3× 16 490

Countries citing papers authored by Saeed Kermani

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Kermani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Kermani

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Kermani. A scholar is included among the top collaborators of Saeed Kermani 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 Saeed Kermani. Saeed Kermani 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.
2.
Rasti, Reza, et al.. (2024). CardSegNet: An adaptive hybrid CNN-vision transformer model for heart region segmentation in cardiac MRI. Computerized Medical Imaging and Graphics. 115. 102382–102382. 4 indexed citations
3.
Rasti, Reza, et al.. (2024). MECardNet: A novel multi-scale convolutional ensemble model with adaptive deep supervision for precise cardiac MRI segmentation. Biomedical Signal Processing and Control. 100. 106919–106919. 1 indexed citations
4.
Farahbakhsh, Zohreh, Mohammad Reza Zamani, Vahid Nasirian, et al.. (2023). An insight into fluorescence and magnetic resonance bioimaging using a multifunctional polyethyleneimine-passivated gadocarbon dots nanoconstruct assembled with AS1411. Microchimica Acta. 190(7). 275–275. 3 indexed citations
5.
Rabbani, Hossein, et al.. (2021). A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based On Sparse Representation. IEEE Journal of Biomedical and Health Informatics. 25(9). 3576–3586.
6.
Kermani, Saeed, et al.. (2020). On the bioactivity and mechanical properties of gehlenite nanobioceramic: A comparative study. Journal of Medical Signals & Sensors. 10(2). 105–105. 23 indexed citations
7.
Kermani, Saeed, et al.. (2019). Estimation and Evaluation of New Features from Phonocardiogram for Detecting Cardiovascular Abnormalities. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Kermani, Saeed, et al.. (2018). Evaluation of Chaos on Electroencephalogram in Different Depths of Anesthesia. SHILAP Revista de lepidopterología.
9.
Oghli, Mostafa Ghelich, et al.. (2018). A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition. Physica Medica. 54. 103–116. 10 indexed citations
10.
Marateb, Hamid Reza, et al.. (2018). The design and validation of a hybrid digital-signal-processing plug-in for traditional cochlear implant speech processors. Computer Methods and Programs in Biomedicine. 159. 103–109. 5 indexed citations
11.
Kermani, Saeed, et al.. (2017). A novel feature ranking method for prediction of cancer stages using proteomics data. PLoS ONE. 12(9). e0184203–e0184203. 30 indexed citations
12.
Kermani, Saeed, et al.. (2016). A Novel Detector Algorithm for Swing and Stance Phases Based on Knee Acceleration Variation in Gait Analysis among Normal and ACL-deficient Subjects. Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Māzandarān/Journal of Mazandaran University of Medical Sciences. 26(141). 95–102. 1 indexed citations
13.
Kermani, Saeed, et al.. (2015). Enhanced Recognition of Acute Lymphoblastic Leukemia Cells in Microscopic Images based on Feature Reduction using Principle Component Analysis. SHILAP Revista de lepidopterología. 2(3). 128–136. 18 indexed citations
14.
Kermani, Saeed, et al.. (2015). Automatic color segmentation of breast infrared images using a Gaussian mixture model. Optik. 126(21). 3288–3294. 24 indexed citations
15.
Shahbazi‐Gahrouei, Daryoush, et al.. (2014). The Effect of Extremely Low-Frequency Magnetic Fields on the Level of Serotonin Metabolite in the Raphe Nuclei of Adult Male Rat. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Razavi, Shahnaz, Daryoush Shahbazi‐Gahrouei, Marzieh Salimi, Saeed Karbasi, & Saeed Kermani. (2014). Extremely low-frequency electromagnetic field influences the survival and proliferation effect of human adipose derived stem cells. SHILAP Revista de lepidopterología. 3(1). 25–25. 28 indexed citations
17.
Kermani, Saeed, et al.. (2013). Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Kermani, Saeed, et al.. (2013). An Improved Spectral Subtraction Algorithm for Noise Reduction in Cochlear Implants with Increasing Number of Channels. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Salimi, Marzieh, Daryoush Shahbazi‐Gahrouei, Saeed Karbasi, Saeed Kermani, & Shahnaz Razavi. (2013). Effect of Extremely Low-Frequency (50 Hz) Field on Proliferation Rate of Human Adipose-Derived Mesenchymal Stem Cells. SHILAP Revista de lepidopterología. 7 indexed citations
20.
Kermani, Saeed, et al.. (2009). Quantitative analysis of left ventricular performance from sequences of cardiac magnetic resonance imaging using active mesh model. Computerized Medical Imaging and Graphics. 33(3). 222–234. 14 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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