Mohammad Sadegh Helfroush

1.7k total citations
110 papers, 1.2k citations indexed

About

Mohammad Sadegh Helfroush is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mohammad Sadegh Helfroush has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 22 papers in Media Technology. Recurrent topics in Mohammad Sadegh Helfroush's work include Image Retrieval and Classification Techniques (18 papers), Remote-Sensing Image Classification (17 papers) and Medical Image Segmentation Techniques (16 papers). Mohammad Sadegh Helfroush is often cited by papers focused on Image Retrieval and Classification Techniques (18 papers), Remote-Sensing Image Classification (17 papers) and Medical Image Segmentation Techniques (16 papers). Mohammad Sadegh Helfroush collaborates with scholars based in Iran, France and Poland. Mohammad Sadegh Helfroush's co-authors include Habibollah Danyali, Kamran Kazemi, Habibollah Danyali, Ashkan Tashk, Ardalan Aarabi, Mojgan Akbarzadeh‐Jahromi, Akbar Rahideh, Mohammad Javad Dehghani, Taher Niknam and Mehdi Rezaei and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Magnetic Resonance in Medicine.

In The Last Decade

Mohammad Sadegh Helfroush

102 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Sadegh Helfroush Iran 20 609 415 209 168 161 110 1.2k
Camel Tanougast France 23 838 1.4× 477 1.1× 273 1.3× 87 0.5× 65 0.4× 154 1.8k
Paola Campadelli Italy 19 707 1.2× 308 0.7× 237 1.1× 141 0.8× 179 1.1× 65 1.4k
Le An United States 24 945 1.6× 366 0.9× 421 2.0× 151 0.9× 190 1.2× 78 1.8k
Roland Kwitt Austria 21 878 1.4× 294 0.7× 370 1.8× 132 0.8× 40 0.2× 70 1.5k
He Zhao China 17 327 0.5× 380 0.9× 384 1.8× 116 0.7× 141 0.9× 50 1.2k
Siqi Liu China 15 255 0.4× 412 1.0× 197 0.9× 80 0.5× 121 0.8× 74 1.1k
Junding Sun China 18 612 1.0× 462 1.1× 320 1.5× 146 0.9× 74 0.5× 90 1.5k
Ahmed M. Anter Egypt 18 307 0.5× 463 1.1× 245 1.2× 44 0.3× 128 0.8× 52 1.1k
Liang Sun China 19 563 0.9× 675 1.6× 509 2.4× 83 0.5× 332 2.1× 90 1.8k

Countries citing papers authored by Mohammad Sadegh Helfroush

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sadegh Helfroush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Sadegh Helfroush

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Sadegh Helfroush. A scholar is included among the top collaborators of Mohammad Sadegh Helfroush 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 Sadegh Helfroush. Mohammad Sadegh Helfroush 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.
Abiri, Ebrahim, et al.. (2024). Balanced spatio-spectral feature extraction for hyperspectral and multispectral image fusion. Computers & Electrical Engineering. 118. 109391–109391. 4 indexed citations
2.
Abiri, Ebrahim, et al.. (2024). Self-supervised spectral super-resolution for a fast hyperspectral and multispectral image fusion. Scientific Reports. 14(1). 29820–29820. 5 indexed citations
3.
Khosravi, Mohammad R., Hossein Parsaei, Khosro Rezaee, & Mohammad Sadegh Helfroush. (2024). Fusing convolutional learning and attention-based Bi-LSTM networks for early Alzheimer’s diagnosis from EEG signals towards IoMT. Scientific Reports. 14(1). 26002–26002. 8 indexed citations
4.
Kazemi, Kamran, et al.. (2024). Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis. Scientific Reports. 14(1). 24473–24473. 6 indexed citations
5.
Kazemi, Kamran, et al.. (2023). Altered brain structural and functional connectivity in cannabis users. Scientific Reports. 13(1). 3 indexed citations
6.
Helfroush, Mohammad Sadegh, et al.. (2023). VGG16-based Feature Fusion For Image Kyepoint Description. 2017. 1005–1009.
7.
Helfroush, Mohammad Sadegh, et al.. (2023). A novel Siamese deep hashing model for histopathology image retrieval. Expert Systems with Applications. 225. 120169–120169. 18 indexed citations
8.
Helfroush, Mohammad Sadegh, et al.. (2021). Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition. Remote Sensing. 13(15). 2930–2930. 17 indexed citations
9.
Kazemi, Kamran, et al.. (2021). Morphological active contour model for automatic brain tumor extraction from multimodal magnetic resonance images. Journal of Neuroscience Methods. 362. 109296–109296. 19 indexed citations
10.
Rahideh, Akbar, et al.. (2018). An efficient search algorithm for biomarker selection from RNA-seq prostate cancer data. Journal of Intelligent & Fuzzy Systems. 35(3). 3171–3180. 1 indexed citations
11.
Helfroush, Mohammad Sadegh, et al.. (2018). Sparse-Based Classification of Hyperspectral Images Using Extended Hidden Markov Random Fields. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(11). 4101–4112. 16 indexed citations
12.
Helfroush, Mohammad Sadegh, et al.. (2017). A new multiobjective evolutionary optimization algorithm based on θ -multiobjective clonal selection. Journal of Intelligent & Fuzzy Systems. 32(3). 1685–1696. 5 indexed citations
13.
Danyali, Habibollah, et al.. (2017). Scalable image tamper detection and recovery based on dual-rate source-channel coding. 7. 116–120. 1 indexed citations
14.
15.
Tashk, Ashkan, Mohammad Sadegh Helfroush, Habibollah Danyali, & Mojgan Akbarzadeh‐Jahromi. (2015). Automatic detection of breast cancer mitotic cells based on the combination of textural, statistical and innovative mathematical features. Applied Mathematical Modelling. 39(20). 6165–6182. 37 indexed citations
16.
Kazemi, Kamran, et al.. (2015). Evaluation of anterior fontanel size and area in the newborn using CT images. Journal of Intelligent & Fuzzy Systems. 29(1). 443–450. 2 indexed citations
17.
Helfroush, Mohammad Sadegh, et al.. (2014). Improving the performance of machine learning algorithms using fuzzy-based features for medical x-ray image classification. Journal of Intelligent & Fuzzy Systems. 27(6). 3169–3180. 4 indexed citations
18.
Danyali, Habibollah, et al.. (2014). Mitosis Detection from Breast Cancer Histology Slide Images using Particle Swarm Optimization and Support Vector Machine. International Journal of Sciences: Basic and Applied Research. 16(2). 164–177. 1 indexed citations
19.
20.
Helfroush, Mohammad Sadegh, et al.. (2011). A modified approach for image compression based on fuzzy transform. Iranian Conference on Electrical Engineering. 1–6. 2 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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