Armin Iraji

2.2k total citations
83 papers, 1.0k citations indexed

About

Armin Iraji is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Armin Iraji has authored 83 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 37 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Armin Iraji's work include Functional Brain Connectivity Studies (76 papers), Neural dynamics and brain function (45 papers) and Advanced Neuroimaging Techniques and Applications (25 papers). Armin Iraji is often cited by papers focused on Functional Brain Connectivity Studies (76 papers), Neural dynamics and brain function (45 papers) and Advanced Neuroimaging Techniques and Applications (25 papers). Armin Iraji collaborates with scholars based in United States, China and Spain. Armin Iraji's co-authors include Vince D. Calhoun, Zening Fu, Zhifeng Kou, Jessica A. Turner, Godfrey D. Pearlson, Ashkan Faghiri, Tianming Liu, Robyn L. Miller, Jing Sui and E. Mark Haacke and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Trends in Cognitive Sciences.

In The Last Decade

Armin Iraji

71 papers receiving 1.0k citations

Peers

Armin Iraji

RNMI

EPIDE

ECP

PMH

D. Rangaprakash United States

Karthik Sreenivasan United States

Lynn Uhrig France

Haoxin Sun United States

Changfeng Jin China

Rajanikant Panda Belgium

Eduardo Henrik Aubert Cuba

Virendra Mishra United States

Xiaowei Zhuang United States

Frank Morales Cuba

D. Rangaprakash United States

Armin Iraji

767 ×0.9

267 ×0.6

RNMI

92 ×0.6

EPIDE

166 ×1.2

ECP

146 ×1.8

PMH

Citations per year, relative to Armin Iraji Armin Iraji (= 1×) peers D. Rangaprakash

Countries citing papers authored by Armin Iraji

Since Specialization

Citations

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

Fields of papers citing papers by Armin Iraji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Iraji

This figure shows the co-authorship network connecting the top 25 collaborators of Armin Iraji. A scholar is included among the top collaborators of Armin Iraji 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 Armin Iraji. Armin Iraji 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

Phadikar, Souvik, et al.. (2025). Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity. Frontiers in Neuroscience. 19. 1484954–1484954. 3 indexed citations

Iraji, Armin, et al.. (2025). A Method for Estimating Dynamic Functional Network Connectivity Gradients ( dFNGs ) From ICA Captures Smooth Inter‐Network Modulation. Human Brain Mapping. 46(10). e70262–e70262. 2 indexed citations

Iraji, Armin, et al.. (2025). A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders. Network Neuroscience. 10(1). 93–117.

Li, Qiang, Vince D. Calhoun, & Armin Iraji. (2024). Revealing complex functional topology brain network correspondences between humans and marmosets. Neuroscience Letters. 822. 137624–137624. 3 indexed citations

Salman, Mustafa S., Zening Fu, Armin Iraji, et al.. (2024). Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. 1–5.

Phadikar, Souvik, et al.. (2024). Coupling between Time-Varying EEG Spectral Bands and Spatial Dynamic FMRI Networks. 1–4.

Pearlson, Godfrey D., et al.. (2024). Double Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses. 1–4.

Chen, Jiayu, Tülay Adalı, Peter Kochunov, et al.. (2024). Networks extracted from nonlinear fMRI connectivity exhibit unique spatial variation and enhanced sensitivity to differences between individuals with schizophrenia and controls. Nature Mental Health. 2(12). 1464–1475. 1 indexed citations

Faghiri, Ashkan, et al.. (2024). A telescopic independent component analysis on functional magnetic resonance imaging dataset. Network Neuroscience. 9(1). 61–76. 1 indexed citations

10.

Belger, Ayşenil, Juan Bustillo, Ashkan Faghiri, et al.. (2023). A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data. Journal of Neuroscience Methods. 389. 109794–109794. 11 indexed citations

11.

Duda, Marlena, Armin Iraji, Judith M. Ford, et al.. (2023). Reliability and clinical utility of spatially constrained estimates of intrinsic functional networks from very short fMRI scans. Human Brain Mapping. 44(6). 2620–2635. 11 indexed citations

12.

Iraji, Armin, Jiayu Chen, Ashkan Faghiri, et al.. (2023). Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk. Biological Psychiatry. 96(3). 188–197. 9 indexed citations

13.

Misiura, Maria, et al.. (2023). Revisiting Functional Dysconnectivity: A Review of Three Model Frameworks in Schizophrenia. PsyArXiv (OSF Preprints). 4 indexed citations

14.

Iraji, Armin, Ashkan Faghiri, Zening Fu, et al.. (2022). Moving beyond the ‘CAP’ of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping. NeuroImage. 251. 119013–119013. 19 indexed citations

15.

DeRamus, Thomas P., Ashkan Faghiri, Armin Iraji, et al.. (2021). Modular and state-relevant functional network connectivity in high-frequency eyes open vs eyes closed resting fMRI data. Journal of Neuroscience Methods. 358. 109202–109202. 7 indexed citations

16.

DeRamus, Thomas P., Armin Iraji, Zening Fu, et al.. (2021). Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. 1–6. 4 indexed citations

17.

Iraji, Armin, Ashkan Faghiri, Zening Fu, et al.. (2021). Multi-spatial-scale dynamic interactions between functional sources reveal sex-specific changes in schizophrenia. Network Neuroscience. 6(2). 357–381. 30 indexed citations

18.

Faghiri, Ashkan, Armin Iraji, Eswar Damaraju, Jessica A. Turner, & Vince D. Calhoun. (2020). A unified approach for characterizing static/dynamic connectivity frequency profiles using filter banks. Network Neuroscience. 5(1). 56–82. 25 indexed citations

19.

Iraji, Armin, Thomas P. DeRamus, Maziar Yaesoubi, et al.. (2019). The spatial chronnectome reveals a dynamic interplay between functional segregation and integration. Human Brain Mapping. 40(10). 3058–3077. 66 indexed citations

20.

Iraji, Armin, Zening Fu, Eswar Damaraju, et al.. (2018). Spatial dynamics within and between brain functional domains: A hierarchical approach to study time‐varying brain function. Human Brain Mapping. 40(6). 1969–1986. 50 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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