Marjane Khodatars

2.2k total citations · 3 hit papers
19 papers, 1.4k citations indexed

About

Marjane Khodatars is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Marjane Khodatars has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Marjane Khodatars's work include EEG and Brain-Computer Interfaces (6 papers), Functional Brain Connectivity Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Marjane Khodatars is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Functional Brain Connectivity Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Marjane Khodatars collaborates with scholars based in Iran, Australia and Spain. Marjane Khodatars's co-authors include Afshin Shoeibi, U. Rajendra Acharya, Mahboobeh Jafari, Roohallah Alizadehsani, Parisa Moridian, J. M. Górriz, Navid Ghassemi, Abbas Khosravi, Assef Zare and Saeid Nahavandi and has published in prestigious journals such as Scientific Reports, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Marjane Khodatars

19 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.

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

2021 263 citations Afshin Shoeibi, Marjane Khodatars et al. International Journal of Environmental Research and Public Health profile →
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

2020 188 citations Marjane Khodatars, Afshin Shoeibi et al. arXiv (Cornell University) profile →
Emotion recognition in EEG signals using deep learning methods: A review

2023 107 citations Mahboobeh Jafari, Afshin Shoeibi et al. Computers in Biology and Medicine profile →

Peers

Countries citing papers authored by Marjane Khodatars

Since Specialization

Citations

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

Fields of papers citing papers by Marjane Khodatars

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjane Khodatars

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Automated detection and forecasting of COVID-19 using deep learning techniques: A review 2024 ·Neurocomputing ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, J. M. Górriz	47
2	Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning 2023 ·Applied Soft Computing ·Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, Jónathan Heras, Alireza Rahimi, Assef Zare, Yudong Zhang, Ram Bilas Pachori, J. M. Górriz	35
3	Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review 2023 ·Computers in Biology and Medicine ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, (unknown), Yudong Zhang, Shuihua Wang‎, J. M. Górriz, Hamid Alinejad‐Rokny, U. Rajendra Acharya	50
4	Emotion recognition in EEG signals using deep learning methods: A review breakdown → 2023 ·Computers in Biology and Medicine ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Sara Bagherzadeh, Ahmad Shalbaf, (unknown), J. M. Górriz, U. Rajendra Acharya	107
5	RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance 2022 ·Scientific Reports ·Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, (unknown), Sadiq Hussain, Zahra Alizadeh Sani, Marjane Khodatars, Delaram Sadeghi, Abbas Khosravi, Saeid Nahavandi, Ru‐San Tan, U. Rajendra Acharya, Sheikh Mohammed Shariful Islam	55
6	Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression 2022 ·arXiv (Cornell University) ·Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, J. M. Górriz, (unknown), Ali Khadem, U. Rajendra Acharya	55
7	Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review 2022 ·Frontiers in Molecular Neuroscience ·Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum‐Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdülhamit Subaşı, Roohallah Alizadehsani, J. M. Górriz, Sara Abdulla, U. Rajendra Acharya	72
8	Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review 2022 ·arXiv (Cornell University) ·Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, (unknown), Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yudong Zhang, Shuihua Wang‎, J. M. Górriz, Hamid Alinejad‐Rokny, U. Rajendra Acharya	2
9	Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review 2022 ·Information Fusion ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad‐Rokny, Hak‐Keung Lam, Matthew Fuller‐Tyszkiewicz, U. Rajendra Acharya, (unknown), Yudong Zhang, J. M. Górriz	65
10	Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review 2022 ·arXiv (Cornell University) ·Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum‐Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdülhamit Subaşı, Roohallah Alizadehsani, J. M. Górriz, Sara Abdulla, U. Rajendra Acharya	1
11	Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works 2022 ·Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Parisa Moridian, Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Ram Bilas Pachori, Ali Khadem, Roohallah Alizadehsani, Sai Ho Ling	33
12	Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review 2021 ·Computers in Biology and Medicine ·Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, (unknown), Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, (unknown), Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk	16
13	Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review 2021 ·Computers in Biology and Medicine ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, (unknown), Roohallah Alizadehsani, Fahime Khozeimeh, J. M. Górriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya	127
14	Medical Images Encryption Based on Adaptive-Robust Multi-Mode Synchronization of Chen Hyper-Chaotic Systems 2021 ·Sensors ·(unknown), Mahboobeh Jafari, Afshin Shoeibi, Assef Zare, Marjane Khodatars, Navid Ghassemi, Roohallah Alizadehsani, J. M. Górriz	33
15	Epileptic Seizures Detection Using Deep Learning Techniques: A Review breakdown → 2021 ·International Journal of Environmental Research and Public Health ·Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Maryam Panahiazar, Fahime Khozeimeh, Assef Zare, Hossein Hosseini‐Nejad, Abbas Khosravi, Amir F. Atiya, (unknown), Sadiq Hussain, Modjtaba Rouhani, Saeid Nahavandi, U. Rajendra Acharya	263
16	Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies 2021 ·Biomedical Signal Processing and Control ·Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdülhamit Subaşı, U. Rajendra Acharya, J. M. Górriz	107
17	Epileptic seizure detection using deep learning techniques: A Review 2020 ·arXiv (Cornell University) ·Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini‐Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya	24
18	Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review breakdown → 2020 ·arXiv (Cornell University) ·Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, (unknown), Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk	188
19	Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review 2020 ·arXiv (Cornell University) ·Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, J. M. Górriz	95

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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