Arian Ashourvan

805 total citations
18 papers, 428 citations indexed

About

Arian Ashourvan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arian Ashourvan has authored 18 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arian Ashourvan's work include Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (11 papers) and Photoreceptor and optogenetics research (4 papers). Arian Ashourvan is often cited by papers focused on Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (11 papers) and Photoreceptor and optogenetics research (4 papers). Arian Ashourvan collaborates with scholars based in United States, United Kingdom and Netherlands. Arian Ashourvan's co-authors include Danielle S. Bassett, Jean M. Vettel, Brian Litt, Kathryn A. Davis, Javier O. Garcia, Sarah F. Muldoon, Fadi Mikhail, Preya Shah, Joel M. Stein and Lohith G. Kini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Brain.

In The Last Decade

Arian Ashourvan

18 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arian Ashourvan United States 12 304 82 64 57 56 18 428
Meysam Hashemi France 16 488 1.6× 111 1.4× 84 1.3× 92 1.6× 137 2.4× 29 615
Noam Peled United States 13 314 1.0× 131 1.6× 36 0.6× 23 0.4× 63 1.1× 27 549
Elżbieta Olejarczyk Poland 14 645 2.1× 58 0.7× 31 0.5× 36 0.6× 20 0.4× 39 754
Wolfram Hesse Germany 10 637 2.1× 63 0.8× 21 0.3× 49 0.9× 65 1.2× 18 794
Onerva Korhonen Finland 7 509 1.7× 49 0.6× 21 0.3× 42 0.7× 91 1.6× 8 562
Matteo Demuru Netherlands 13 718 2.4× 152 1.9× 81 1.3× 15 0.3× 57 1.0× 24 810
Samuel P. Burns United States 8 561 1.8× 277 3.4× 65 1.0× 48 0.8× 40 0.7× 11 622
Avgis Hadjipapas United Kingdom 15 680 2.2× 229 2.8× 30 0.5× 39 0.7× 37 0.7× 29 752
Akinori Iyama Japan 9 391 1.3× 73 0.9× 26 0.4× 24 0.4× 17 0.3× 14 522
Anirudh Nihalani Vattikonda France 9 256 0.8× 49 0.6× 59 0.9× 14 0.2× 98 1.8× 10 304

Countries citing papers authored by Arian Ashourvan

Since Specialization
Citations

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

Fields of papers citing papers by Arian Ashourvan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arian Ashourvan

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

All Works

18 of 18 papers shown
1.
Rosch, Richard, et al.. (2024). Spontaneous Brain Activity Emerges from Pairwise Interactions in the Larval Zebrafish Brain. Physical Review X. 14(3). 2 indexed citations
2.
Lucas, Alfredo, Joshua J. LaRocque, Arian Ashourvan, et al.. (2023). Resting-state background features demonstrate multidien cycles in long-term EEG device recordings. Brain stimulation. 16(6). 1709–1718. 12 indexed citations
3.
Kadji, H. G. Enjieu, Andrew J. Whalen, Arian Ashourvan, et al.. (2022). Thermal effects on neurons during stimulation of the brain. Journal of Neural Engineering. 19(5). 56029–56029. 29 indexed citations
4.
Ashourvan, Arian, Sérgio Pequito, Maxwell A. Bertolero, et al.. (2022). External drivers of BOLD signal’s non-stationarity. PLoS ONE. 17(9). e0257580–e0257580. 1 indexed citations
5.
Ashourvan, Arian, Jennifer Stiso, Kathryn A. Davis, et al.. (2021). Time-evolving controllability of effective connectivity networks during seizure progression. Proceedings of the National Academy of Sciences. 118(5). 46 indexed citations
6.
Driscoll, Nicolette, Richard Rosch, Brendan B. Murphy, et al.. (2021). Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale. Communications Biology. 4(1). 136–136. 23 indexed citations
7.
Ashourvan, Arian, Preya Shah, Adam Pines, et al.. (2021). Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states. Communications Biology. 4(1). 210–210. 14 indexed citations
8.
Garcia, Javier O., Arian Ashourvan, Steven M. Thurman, et al.. (2020). Reconfigurations within resonating communities of brain regions following TMS reveal different scales of processing. Network Neuroscience. 4(3). 611–636. 5 indexed citations
9.
Ashourvan, Arian, Sérgio Pequito, Ankit N. Khambhati, et al.. (2020). Model-based design for seizure control by stimulation. Journal of Neural Engineering. 17(2). 26009–26009. 20 indexed citations
10.
Shanmugan, Sheila, Theodore D. Satterthwaite, Mary D. Sammel, et al.. (2020). Impact of childhood adversity on network reconfiguration dynamics during working memory in hypogonadal women. Psychoneuroendocrinology. 119. 104710–104710. 9 indexed citations
11.
Ashourvan, Arian, et al.. (2020). Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy. Journal of Neural Engineering. 17(6). 13 indexed citations
12.
Cornblath, Eli J., Arian Ashourvan, Jason Z. Kim, et al.. (2020). Transitions to Default Mode and Frontoparietal Network Activation States are Associated With Age and Working Memory Performance. Biological Psychiatry. 87(9). S457–S458. 1 indexed citations
13.
Shah, Preya, Arian Ashourvan, Fadi Mikhail, et al.. (2019). Characterizing the role of the structural connectome in seizure dynamics. Brain. 142(7). 1955–1972. 58 indexed citations
14.
Shah, Preya, John M. Bernabei, Lohith G. Kini, et al.. (2019). High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients. NeuroImage Clinical. 23. 101908–101908. 46 indexed citations
15.
Garcia, Javier O., Arian Ashourvan, Sarah F. Muldoon, Jean M. Vettel, & Danielle S. Bassett. (2018). Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function. Proceedings of the IEEE. 106(5). 846–867. 77 indexed citations
16.
Telesford, Qawi K., Arian Ashourvan, Nicholas F. Wymbs, et al.. (2017). Cohesive network reconfiguration accompanies extended training. Human Brain Mapping. 38(9). 4744–4759. 44 indexed citations
17.
Pequito, Sérgio, Arian Ashourvan, Danielle S. Bassett, Brian Litt, & George J. Pappas. (2017). Spectral control of cortical activity. 2785–2791. 5 indexed citations
18.
Mohseni, H., et al.. (2006). Automatic detection of epileptic seizure using time-frequency distributions. 2006. 29–29. 23 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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