Delaram Sadeghi

1.2k citations

11 papers · 710 indexed · 1 hit paper · h-index 9

Cognitive Neuroscience top 5%
Radiology, Nuclear Medicine and Imaging top 10%
Artificial Intelligence top 10%
Cardiology and Cardiovascular Medicine
Computer Vision and Pattern Recognition top 10%

Co-authors: Afshin Shoeibi Roohallah Alizadehsani Parisa Moridian Saeid Nahavandi U. Rajendra Acharya Ali Khadem J. M. Górriz Navid Ghassemi
Topics: Functional Brain Connectivity Studies (8 papers)EEG and Brain-Computer Interfaces (4 papers)Autism Spectrum Disorder Research (4 papers)
Cited by: Health Informatics Cognitive Neuroscience Radiology, Nuclear Medicine and Imaging
Journals: Scientific Reports Neurocomputing Computers in Biology and Medicine
Partner nations: Australia Iran Singapore

In The Last Decade

Delaram Sadeghi

11 papers receiving 689 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.

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

Countries citing papers authored by Delaram Sadeghi

Since Specialization

Citations

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

Fields of papers citing papers by Delaram Sadeghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delaram Sadeghi

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

All Works

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11 of 11 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	Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023 2023 ·Applied Intelligence ·Mahboobeh Jafari,Delaram Sadeghi,Afshin Shoeibi,Hamid Alinejad‐Rokny,Amin Beheshti,(unknown),Zhaolin Chen,U. Rajendra Acharya,J. M. Górriz	25
3	Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023 2023 ·arXiv (Cornell University) ·Mahboobeh Jafari,Delaram Sadeghi,Afshin Shoeibi,Hamid Alinejad‐Rokny,Amin Beheshti,(unknown),Zhaolin Chen,U. Rajendra Acharya,J. M. Górriz	2
4	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
5	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
6	An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works 2022 ·Computers in Biology and Medicine ·Delaram Sadeghi,Afshin Shoeibi,Navid Ghassemi,Parisa Moridian,Ali Khadem,Roohallah Alizadehsani,Mohammad Teshnehlab,J. M. Górriz,Fahime Khozeimeh,Yudong Zhang,Saeid Nahavandi,U. Rajendra Acharya	96
7	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
8	Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models 2021 ·Frontiers in Neuroinformatics ·Afshin Shoeibi,Delaram Sadeghi,Parisa Moridian,Navid Ghassemi,Jónathan Heras,Roohallah Alizadehsani,Ali Khadem,Yinan Kong,Saeid Nahavandi,Yudong Zhang,J. M. Górriz	113
9	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
10	Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Reviewbreakdown → 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
11	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

About Delaram Sadeghi

Delaram Sadeghi is a scholar working on Health Informatics, Cognitive Neuroscience and Health Information Management, having authored 11 papers that have together received 710 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (4 papers) and Autism Spectrum Disorder Research (4 papers). The work is most often cited by research in Health Informatics (29 citations), Cognitive Neuroscience (352 citations) and Radiology, Nuclear Medicine and Imaging (196 citations). Delaram Sadeghi has collaborated with scholars based in Australia, Iran and Singapore. Frequent co-authors include Afshin Shoeibi, Roohallah Alizadehsani, Parisa Moridian, Saeid Nahavandi, U. Rajendra Acharya, Ali Khadem, J. M. Górriz, Navid Ghassemi, Marjane Khodatars and Mahboobeh Jafari. Their work appears in journals such as Scientific Reports, Neurocomputing and Computers in Biology and Medicine.

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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