Parisa Moridian

2.2k total citations · 2 hit papers
19 papers, 1.4k citations indexed

About

Parisa Moridian is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Parisa Moridian has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Parisa Moridian's work include Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Autism Spectrum Disorder Research (4 papers). Parisa Moridian is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Autism Spectrum Disorder Research (4 papers). Parisa Moridian collaborates with scholars based in Australia, Iran and Singapore. Parisa Moridian's co-authors include Afshin Shoeibi, Roohallah Alizadehsani, U. Rajendra Acharya, Marjane Khodatars, Navid Ghassemi, Saeid Nahavandi, Mahboobeh Jafari, J. M. Górriz, Abbas Khosravi and Assef Zare and has published in prestigious journals such as Sensors, International Journal of Environmental Research and Public Health and Neurocomputing.

In The Last Decade

Parisa Moridian

19 papers receiving 1.4k 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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parisa Moridian Australia	17	745	301	281	205	191	19	1.4k
Marjane Khodatars Iran	17	695 0.9×	302 1.0×	284 1.0×	216 1.1×	165 0.9×	19	1.4k
Mahboobeh Jafari Australia	16	625 0.8×	249 0.8×	233 0.8×	213 1.0×	154 0.8×	23	1.2k
Navid Ghassemi Iran	16	698 0.9×	422 1.4×	333 1.2×	368 1.8×	383 2.0×	23	1.5k
Cosimo Ieracitano Italy	19	873 1.2×	440 1.5×	142 0.5×	149 0.7×	185 1.0×	42	1.7k
Νικόλαος Γιαννακέας Greece	22	680 0.9×	300 1.0×	151 0.5×	119 0.6×	123 0.6×	117	1.6k
Mercedes Cabrerizo United States	22	596 0.8×	226 0.8×	159 0.6×	254 1.2×	211 1.1×	90	1.4k
Zhiguo Zhang China	23	1.3k 1.7×	180 0.6×	277 1.0×	107 0.5×	156 0.8×	130	1.9k
Mohammad Zavid Parvez Bangladesh	14	375 0.5×	369 1.2×	348 1.2×	145 0.7×	163 0.9×	46	982
S. Vinitha Sree Singapore	10	593 0.8×	348 1.2×	389 1.4×	134 0.7×	68 0.4×	10	1.3k
Shreya Bhat India	12	736 1.0×	153 0.5×	150 0.5×	100 0.5×	65 0.3×	21	1.3k

Countries citing papers authored by Parisa Moridian

Since Specialization

Citations

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

Fields of papers citing papers by Parisa Moridian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Moridian

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

1.

Shoeibi, Afshin, Marjane Khodatars, Mahboobeh Jafari, et al.. (2024). Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing. 577. 127317–127317. 47 indexed citations

2.

Jafari, Mahboobeh, Afshin Shoeibi, Marjane Khodatars, et al.. (2023). Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Computers in Biology and Medicine. 160. 106998–106998. 50 indexed citations

3.

Shoeibi, Afshin, Navid Ghassemi, Marjane Khodatars, et al.. (2022). Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression. arXiv (Cornell University). 55 indexed citations

4.

Moridian, Parisa, Navid Ghassemi, Mahboobeh Jafari, et al.. (2022). Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review. Frontiers in Molecular Neuroscience. 15. 999605–999605. 72 indexed citations

5.

Sadeghi, Delaram, Afshin Shoeibi, Navid Ghassemi, et al.. (2022). An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Computers in Biology and Medicine. 146. 105554–105554. 96 indexed citations

6.

Zare, Assef, et al.. (2022). Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression: Simplifying Complex T2F Calculations. IEEE Systems Man and Cybernetics Magazine. 8(3). 51–60. 18 indexed citations

7.

Jafari, Mahboobeh, Afshin Shoeibi, Marjane Khodatars, et al.. (2022). Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. arXiv (Cornell University). 2 indexed citations

8.

Shoeibi, Afshin, Marjane Khodatars, Mahboobeh Jafari, et al.. (2022). Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Information Fusion. 93. 85–117. 65 indexed citations

9.

Moridian, Parisa, Navid Ghassemi, Mahboobeh Jafari, et al.. (2022). Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review. arXiv (Cornell University). 1 indexed citations

10.

Moridian, Parisa, Afshin Shoeibi, Marjane Khodatars, et al.. (2022). Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 12(6). 33 indexed citations

11.

Shoeibi, Afshin, Delaram Sadeghi, Parisa Moridian, et al.. (2021). Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers in Neuroinformatics. 15. 777977–777977. 113 indexed citations

12.

Khodatars, Marjane, Afshin Shoeibi, Delaram Sadeghi, et al.. (2021). Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Computers in Biology and Medicine. 139. 104949–104949. 16 indexed citations

13.

Shoeibi, Afshin, Marjane Khodatars, Mahboobeh Jafari, et al.. (2021). Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review. Computers in Biology and Medicine. 136. 104697–104697. 127 indexed citations

14.

Shoeibi, Afshin, Assef Zare, Mahboobeh Jafari, et al.. (2021). Design of Adaptive-Robust Controller for Multi-State Synchronization of Chaotic Systems with Unknown and Time-Varying Delays and Its Application in Secure Communication. Sensors. 21(1). 254–254. 20 indexed citations

15.

Shoeibi, Afshin, Marjane Khodatars, Navid Ghassemi, et al.. (2021). Epileptic Seizures Detection Using Deep Learning Techniques: A Review. International Journal of Environmental Research and Public Health. 18(11). 5780–5780. 263 indexed citations breakdown →

16.

Shoeibi, Afshin, Navid Ghassemi, Marjane Khodatars, et al.. (2021). Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomedical Signal Processing and Control. 73. 103417–103417. 107 indexed citations

17.

Shoeibi, Afshin, Navid Ghassemi, Marjane Khodatars, et al.. (2020). Epileptic seizure detection using deep learning techniques: A Review. arXiv (Cornell University). 24 indexed citations

18.

Khodatars, Marjane, Afshin Shoeibi, Delaram Sadeghi, et al.. (2020). Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. arXiv (Cornell University). 188 indexed citations breakdown →

19.

Shoeibi, Afshin, Marjane Khodatars, Mahboobeh Jafari, et al.. (2020). Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. arXiv (Cornell University). 95 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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