Hamid Behnam

2.0k total citations
116 papers, 1.4k citations indexed

About

Hamid Behnam is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hamid Behnam has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Biomedical Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hamid Behnam's work include Ultrasound Imaging and Elastography (30 papers), Photoacoustic and Ultrasonic Imaging (30 papers) and EEG and Brain-Computer Interfaces (20 papers). Hamid Behnam is often cited by papers focused on Ultrasound Imaging and Elastography (30 papers), Photoacoustic and Ultrasonic Imaging (30 papers) and EEG and Brain-Computer Interfaces (20 papers). Hamid Behnam collaborates with scholars based in Iran, Canada and United States. Hamid Behnam's co-authors include Reza Shalbaf, Jahangir Tavakkoli, Ali Sheikhani, Maryam Noroozıan, Zahra Alizadeh Sani, Mohammad Reza Mohammadi, Ahmad Shalbaf, Sajjad Afrakhteh, Parisa Gifani and Mohsen Soryani and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Hamid Behnam

110 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamid Behnam Iran 22 603 426 408 274 220 116 1.4k
Siddhartha Sikdar United States 25 472 0.8× 207 0.5× 656 1.6× 205 0.7× 250 1.1× 122 2.6k
Isaac N. Bankman United States 14 215 0.4× 311 0.7× 192 0.5× 421 1.5× 35 0.2× 44 1.5k
Yakang Dai China 22 583 1.0× 444 1.0× 317 0.8× 369 1.3× 41 0.2× 121 1.7k
Rafeef Abugharbieh Canada 24 490 0.8× 210 0.5× 350 0.9× 654 2.4× 75 0.3× 110 1.7k
Ahmad Shalbaf Iran 20 322 0.5× 704 1.7× 120 0.3× 125 0.5× 303 1.4× 75 1.3k
Felix Lucka Netherlands 17 543 0.9× 238 0.6× 550 1.3× 86 0.3× 40 0.2× 55 1.1k
A. C. F. Colchester United Kingdom 21 400 0.7× 378 0.9× 107 0.3× 498 1.8× 114 0.5× 60 1.8k
Ahmed Ashraf Canada 19 372 0.6× 116 0.3× 149 0.4× 396 1.4× 15 0.1× 63 1.4k
Joon‐Kyung Seong South Korea 25 492 0.8× 647 1.5× 187 0.5× 121 0.4× 61 0.3× 106 2.2k
Andrew Melbourne United Kingdom 23 738 1.2× 171 0.4× 131 0.3× 182 0.7× 61 0.3× 98 1.8k

Countries citing papers authored by Hamid Behnam

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Behnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamid Behnam

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Behnam. A scholar is included among the top collaborators of Hamid Behnam 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 Hamid Behnam. Hamid Behnam 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.
Shirazi, Ali Asghar Beheshti, et al.. (2024). Automatic breast mass segmentation in ultrasound images with U-Net and resolution enhancement blocks. Biomedical Signal Processing and Control. 94. 106270–106270. 5 indexed citations
2.
Behnam, Hamid, et al.. (2024). Ultrasound Image Analysis with Vision Transformers—Review. Diagnostics. 14(5). 542–542. 5 indexed citations
3.
4.
Behnam, Hamid, et al.. (2021). A deep learning approach for the automatic recognition of prosthetic mitral valve in echocardiographic images. Computers in Biology and Medicine. 133. 104388–104388. 17 indexed citations
5.
Shalbaf, Ahmad, et al.. (2019). Granger causality analysis in combination with directed network measures for classification of MS patients and healthy controls using task-related fMRI. Computers in Biology and Medicine. 115. 103495–103495. 34 indexed citations
6.
Behnam, Hamid, et al.. (2019). Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI. Australasian Physical & Engineering Sciences in Medicine. 42(4). 921–938. 7 indexed citations
7.
Kozegar, Ehsan, et al.. (2017). Determining Mass Boundary in 3D Automated Breast Ultrasound Images Using a Deformable Model. 10(2). 16–26.
8.
9.
Kozegar, Ehsan, et al.. (2017). Breast cancer detection in automated 3D breast ultrasound using iso-contours and cascaded RUSBoosts. Ultrasonics. 79. 68–80. 35 indexed citations
10.
Ahmadian, Alireza, et al.. (2015). Performance Evaluation of the Modified Iterative Closest Point Methods for Intra-operative Ultrasound and Pre-operative MR Image Registration of Brain. SHILAP Revista de lepidopterología. 1(2). 123–131. 2 indexed citations
11.
Mirsadeghi, Maryam, et al.. (2015). Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method. Journal of Medical Systems. 40(1). 13–13. 37 indexed citations
12.
Fatemizadeh, Emad, et al.. (2014). MRI and PET Image Fusion by Using Curvelet Transform. 5(418). 23–30. 2 indexed citations
13.
Shalbaf, Reza, et al.. (2014). Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables. Cognitive Neurodynamics. 9(1). 41–51. 52 indexed citations
14.
Shalbaf, Reza, Hamid Behnam, Jamie Sleigh, D. Alistair Steyn‐Ross, & Moira L. Steyn‐Ross. (2014). Frontal-Temporal Synchronization of EEG Signals Quantified by Order Patterns Cross Recurrence Analysis During Propofol Anesthesia. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23(3). 468–474. 30 indexed citations
15.
Shalbaf, Ahmad, et al.. (2013). Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reduction. Medical Physics. 40(5). 52904–52904. 7 indexed citations
16.
Behnam, Hamid, et al.. (2010). Classification of Benign and Malignant Breast Masses Based on Shape and Texture Features in Sonography Images. Journal of Medical Systems. 36(3). 1621–1627. 50 indexed citations
17.
Behnam, Hamid, et al.. (2010). Breast mass classification on sonographic images on the basis of shape analysis. Journal of Medical Ultrasonics. 37(4). 181–186. 7 indexed citations
18.
Behnam, Hamid, Ali Sheikhani, Maryam Noroozıan, & Mohammad Reza Mohammadi. (2008). Abnormalities of Quantitative Electroencephalography in Children with Asperger Disorder Using Spectrogram andCoherence Values. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Mohammadi, Mohammad Reza, Hamid Behnam, Ali Sheikhani, & Maryam Noroozıan. (2008). Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram. SHILAP Revista de lepidopterología. 4 indexed citations
20.
Behnam, Hamid, et al.. (2008). Extracting the small vibrations of a vessel wall. Physiological Measurement. 29(9). 1041–1053. 3 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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