Ahmad Shalbaf

2.0k total citations · 1 hit paper
75 papers, 1.3k citations indexed

About

Ahmad Shalbaf is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ahmad Shalbaf has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 23 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ahmad Shalbaf's work include EEG and Brain-Computer Interfaces (34 papers), Functional Brain Connectivity Studies (20 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Ahmad Shalbaf is often cited by papers focused on EEG and Brain-Computer Interfaces (34 papers), Functional Brain Connectivity Studies (20 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Ahmad Shalbaf collaborates with scholars based in Iran, Australia and New Zealand. Ahmad Shalbaf's co-authors include Arash Maghsoudi, Sara Bagherzadeh, Parisa Gifani, Reza Shalbaf, Hamid Behnam, Jamie Sleigh, Zahra Alizadeh Sani, Keivan Maghooli, U. Rajendra Acharya and Afshin Shoeibi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ahmad Shalbaf

67 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emotion recognition in EEG signals using deep learning methods: A review

2023 107 citations Afshin Shoeibi, Sara Bagherzadeh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahmad Shalbaf Iran	20	704	322	303	228	220	75	1.3k
Marjane Khodatars Iran	17	695 1.0×	284 0.9×	171 0.6×	103 0.5×	302 1.4×	19	1.4k
Mahboobeh Jafari Australia	16	625 0.9×	233 0.7×	132 0.4×	116 0.5×	249 1.1×	23	1.2k
Orla Doyle United Kingdom	18	437 0.6×	208 0.6×	151 0.5×	155 0.7×	145 0.7×	42	1.4k
Shreya Bhat India	12	736 1.0×	150 0.5×	235 0.8×	66 0.3×	153 0.7×	21	1.3k
Hui Wen Loh Singapore	17	485 0.7×	179 0.6×	247 0.8×	165 0.7×	304 1.4×	21	1.4k
Do‐Un Jeong South Korea	22	541 0.8×	388 1.2×	362 1.2×	327 1.4×	228 1.0×	118	1.8k
Parisa Moridian Australia	17	745 1.1×	281 0.9×	186 0.6×	51 0.2×	301 1.4×	19	1.4k
M. Ramasubba Reddy India	16	572 0.8×	132 0.4×	230 0.8×	78 0.3×	152 0.7×	105	1.1k
Oh Shu Lih Singapore	12	1.0k 1.5×	237 0.7×	1.3k 4.3×	93 0.4×	282 1.3×	14	2.1k
Yunyuan Gao China	17	636 0.9×	73 0.2×	91 0.3×	180 0.8×	123 0.6×	59	898

Countries citing papers authored by Ahmad Shalbaf

Since Specialization

Citations

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

Fields of papers citing papers by Ahmad Shalbaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Shalbaf

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

All Works

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20 of 20 papers shown

Shalbaf, Reza, et al.. (2025). Explainable hierarchical machine-learning approaches for multimodal prediction of conversion from mild cognitive impairment to Alzheimer’s disease. Physical and Engineering Sciences in Medicine. 48(4). 1741–1759.

Shalbaf, Ahmad, Roohallah Alizadehsani, Ru‐San Tan, et al.. (2025). Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023). Archives of Computational Methods in Engineering. 32(7). 4093–4124.

Shalbaf, Ahmad, et al.. (2025). Application of artificial intelligence in attention-deficit hyperactivity disorder deteaction and response to treatment: A systematic review. Biomedical Signal Processing and Control. 110. 108197–108197.

Shalbaf, Reza, et al.. (2024). Prediction of treatment response in major depressive disorder using a hybrid of convolutional recurrent deep neural networks and effective connectivity based on EEG signal. Physical and Engineering Sciences in Medicine. 47(2). 633–642. 11 indexed citations

Shalbaf, Ahmad, et al.. (2024). Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters. Scientific Reports. 14(1). 2442–2442. 13 indexed citations

Shalbaf, Reza, et al.. (2024). Classification of mental workload using brain connectivity and machine learning on electroencephalogram data. Scientific Reports. 14(1). 9153–9153. 19 indexed citations

Esteki, Ali, et al.. (2024). Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic review. Computer Methods and Programs in Biomedicine. 250. 108205–108205. 5 indexed citations

Bagherzadeh, Sara & Ahmad Shalbaf. (2024). EEG-based schizophrenia detection using fusion of effective connectivity maps and convolutional neural networks with transfer learning. Cognitive Neurodynamics. 18(5). 2767–2778. 7 indexed citations

Shalbaf, Ahmad, et al.. (2023). A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder. Scientific Reports. 13(1). 10147–10147. 15 indexed citations

10.

Shalbaf, Ahmad, et al.. (2023). Early MS Identification Using Non-linear Functional Connectivity and Graph-theoretic Measures of Cognitive Task-fMRI Data.. PubMed. 14(6). 787–804. 2 indexed citations

11.

Gifani, Parisa, et al.. (2023). Automatic Diagnosis of Stage of COVID-19 Patients using an Ensemble of Transfer Learning with Convolutional Neural Networks Based on Computed Tomography Images. Journal of Medical Signals & Sensors. 13(2). 101–109. 1 indexed citations

12.

Shalbaf, Ahmad, et al.. (2023). Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre‐trained convolutional neural networks. International Journal of Imaging Systems and Technology. 33(6). 2178–2193. 2 indexed citations

13.

Shalbaf, Ahmad, et al.. (2022). An effective brain connectivity technique to predict repetitive transcranial magnetic stimulation outcome for major depressive disorder patients using EEG signals. Physical and Engineering Sciences in Medicine. 46(1). 67–81. 10 indexed citations

14.

Shalbaf, Ahmad, et al.. (2021). Identification of mild cognitive impairment disease using brain functional connectivity and graph analysis in fMRI data. SHILAP Revista de lepidopterología. 1 indexed citations

15.

Bagherzadeh, Sara, Arash Maghsoudi, & Ahmad Shalbaf. (2021). Detection of schizophrenia patients using convolutional neural networks from brain effective connectivity maps of electroencephalogram signals. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Rashidi, Saeid, et al.. (2021). Finger movements classification based on fractional Fourier transform coefficients extracted from surface EMG signals. Biomedical Signal Processing and Control. 68. 102573–102573. 29 indexed citations

17.

Shalbaf, Ahmad, et al.. (2021). Automatic classification of Non-alcoholic fatty liver using texture features from ultrasound images. SHILAP Revista de lepidopterología. 79(1). 10–17. 1 indexed citations

18.

Shalbaf, Ahmad, et al.. (2020). Compensation of brain shift during surgery using non-rigid registration of MR and ultrasound images. SHILAP Revista de lepidopterología.

19.

Shalbaf, Ahmad, et al.. (2020). Automatic Recognition of Non-alcoholic Fatty Liver by using Transfer Deep Learning Networks from Ultrasound Images. GOVARESH. 25(3). 188–197. 1 indexed citations

20.

Shalbaf, Ahmad, et al.. (2019). Frontal–temporal functional connectivity of EEG signal by standardized permutation mutual information during anesthesia. Cognitive Neurodynamics. 13(6). 531–540. 32 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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