Mohammad Hamghalam

726 total citations
17 papers, 188 citations indexed

About

Mohammad Hamghalam is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Mohammad Hamghalam has authored 17 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Neurology and 4 papers in Artificial Intelligence. Recurrent topics in Mohammad Hamghalam's work include Brain Tumor Detection and Classification (7 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Neural Network Applications (7 papers). Mohammad Hamghalam is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Neural Network Applications (7 papers). Mohammad Hamghalam collaborates with scholars based in Iran, Canada and China. Mohammad Hamghalam's co-authors include Baiying Lei, Tianfu Wang, Amber L. Simpson, Ahmad Ayatollahi, Sattar Mirzakuchaki, Hamid Ghadiri, Jing Qin, Errol Colak, Paraskevi A. Vlachou and Ali Babaei Jandaghi and has published in prestigious journals such as Neural Networks, Computers in Biology and Medicine and Multimedia Tools and Applications.

In The Last Decade

Mohammad Hamghalam

16 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Hamghalam Iran	9	137	68	56	41	23	17	188
Cristina L. Saratxaga Spain	8	52 0.4×	51 0.8×	76 1.4×	97 2.4×	12 0.5×	13	239
Andrés Anaya-Isaza Colombia	7	77 0.6×	102 1.5×	102 1.8×	82 2.0×	5 0.2×	9	256
Wenao Ma China	5	86 0.6×	37 0.5×	53 0.9×	39 1.0×	8 0.3×	9	147
Khin Yadanar Win Thailand	11	174 1.3×	61 0.9×	223 4.0×	120 2.9×	22 1.0×	16	354
Ghulam Gilanie Pakistan	11	119 0.9×	96 1.4×	108 1.9×	70 1.7×	13 0.6×	33	291
Kaushiki Roy India	5	144 1.1×	30 0.4×	171 3.1×	173 4.2×	17 0.7×	12	279
Seyed Raein Hashemi United States	6	99 0.7×	43 0.6×	90 1.6×	86 2.1×	22 1.0×	7	242
Rijo Roy Germany	5	78 0.6×	44 0.6×	94 1.7×	77 1.9×	9 0.4×	6	225
Yinpeng Jin United States	6	184 1.3×	14 0.2×	60 1.1×	41 1.0×	48 2.1×	14	249
Alain Jungo Switzerland	5	49 0.4×	39 0.6×	103 1.8×	36 0.9×	4 0.2×	9	164

Countries citing papers authored by Mohammad Hamghalam

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hamghalam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hamghalam

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hamghalam. A scholar is included among the top collaborators of Mohammad Hamghalam 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 Mohammad Hamghalam. Mohammad Hamghalam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Peoples, Jacob, Mohammad Hamghalam, Natalie Gangai, et al.. (2025). Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases. PubMed. 2(UNSURE2023). 2326–2357. 1 indexed citations

Lee, Daniel J., Mohammad Hamghalam, Lily Wang, et al.. (2025). The use of a convolutional neural network to automate radiologic scoring of computed tomography of paranasal sinuses. BioMedical Engineering OnLine. 24(1). 49–49.

Hamghalam, Mohammad, Robert B. Moreland, David Gómez, et al.. (2024). Machine Learning Detection and Characterization of Splenic Injuries on Abdominal Computed Tomography. Canadian Association of Radiologists Journal. 75(3). 534–541. 6 indexed citations

Hamghalam, Mohammad & Amber L. Simpson. (2024). Medical image synthesis via conditional GANs: Application to segmenting brain tumours. Computers in Biology and Medicine. 170. 107982–107982. 18 indexed citations

Hamghalam, Mohammad, Robert B. Moreland, David Gómez, et al.. (2024). Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans. 1–5. 1 indexed citations

Hamghalam, Mohammad, et al.. (2023). Segmentation of 3D MRI Using 2D Convolutional Neural Networks in Infants’ Brain. Multimedia Tools and Applications. 83(11). 33511–33526. 3 indexed citations

Hamghalam, Mohammad, et al.. (2022). Multi-stage glioma segmentation for tumour grade classification based on multiscale fuzzy C-means. Multimedia Tools and Applications. 81(6). 8451–8470. 21 indexed citations

Ghadiri, Hamid, et al.. (2021). Local features integration for content-based image retrieval based on color, texture, and shape. Multimedia Tools and Applications. 80(18). 28245–28263. 15 indexed citations

Hamghalam, Mohammad, Tianfu Wang, & Baiying Lei. (2020). High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans. Neural Networks. 132. 43–52. 30 indexed citations

10.

Hamghalam, Mohammad, et al.. (2020). High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 4067–4074. 9 indexed citations

11.

Hamghalam, Mohammad, Tianfu Wang, Jing Qin, & Baiying Lei. (2020). Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. 1–4. 11 indexed citations

12.

Hamghalam, Mohammad, et al.. (2019). Segmentation of Whole Tumor Using Localized Active Contour and Trained Neural Network in Boundaries. 8 indexed citations

13.

Hamghalam, Mohammad, et al.. (2019). A Machine Learning Approach to Brain Tumors Segmentation Using Adaptive Random Forest Algorithm. 76–82. 23 indexed citations

14.

Hamghalam, Mohammad, et al.. (2018). Diagnosis of astrocytoma and globalastom using machine vision. 152–155. 2 indexed citations

15.

Hamghalam, Mohammad, et al.. (2017). A novel random-valued impulse noise detector based on MLP neural network classifier. 165–169. 4 indexed citations

16.

Hamghalam, Mohammad, et al.. (2009). Leukocyte Segmentation in Giemsa-stained Image of Peripheral Blood Smears Based on Active Contour. 103–106. 19 indexed citations

17.

Hamghalam, Mohammad & Ahmad Ayatollahi. (2009). Automatic Counting of Leukocytes in Giemsa-Stained Images of Peripheral Blood Smear. 13–16. 17 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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