Michael Dayan

1.6k total citations · 1 hit paper
29 papers, 928 citations indexed

About

Michael Dayan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Michael Dayan has authored 29 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cognitive Neuroscience and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Michael Dayan's work include Advanced Neuroimaging Techniques and Applications (15 papers), Functional Brain Connectivity Studies (13 papers) and Advanced MRI Techniques and Applications (9 papers). Michael Dayan is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Functional Brain Connectivity Studies (13 papers) and Advanced MRI Techniques and Applications (9 papers). Michael Dayan collaborates with scholars based in United States, Italy and United Kingdom. Michael Dayan's co-authors include Orrin Devinsky, Yu Huang, Lucas C. Parra, Daniel Friedman, Xiuyuan Wang, Marom Bikson, Anli Liu, Belen Lafon, Werner Doyle and Ashish Raj and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Michael Dayan

29 papers receiving 915 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.

Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation

2017 389 citations Yu Huang, Anli Liu et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Dayan United States	14	474	357	316	195	97	29	928
Oula Puonti Denmark	12	391 0.8×	426 1.2×	387 1.2×	124 0.6×	132 1.4×	34	987
Volker Aurich Germany	19	216 0.5×	256 0.7×	182 0.6×	102 0.5×	152 1.6×	31	767
Jane Maryam Rondina United Kingdom	13	716 1.5×	127 0.4×	333 1.1×	112 0.6×	60 0.6×	22	1.2k
Anne‐Marie van Cappellen van Walsum Netherlands	18	444 0.9×	88 0.2×	421 1.3×	101 0.5×	122 1.3×	30	1.1k
Maged Goubran Canada	23	348 0.7×	151 0.4×	657 2.1×	255 1.3×	186 1.9×	70	1.5k
Suresh Joel United States	14	324 0.7×	113 0.3×	270 0.9×	68 0.3×	82 0.8×	17	783
Owen Thomas United Kingdom	13	371 0.8×	202 0.6×	148 0.5×	93 0.5×	75 0.8×	27	960
Vanessa Krause Germany	22	1.0k 2.2×	493 1.4×	330 1.0×	239 1.2×	181 1.9×	46	1.7k
Stefan Hetzer Germany	15	285 0.6×	187 0.5×	363 1.1×	69 0.4×	128 1.3×	41	837
Richard Gorniak United States	22	795 1.7×	74 0.2×	244 0.8×	423 2.2×	82 0.8×	51	1.3k

Countries citing papers authored by Michael Dayan

Since Specialization

Citations

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

Fields of papers citing papers by Michael Dayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dayan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Dayan. A scholar is included among the top collaborators of Michael Dayan 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 Michael Dayan. Michael Dayan 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:

20 of 20 papers shown

Garg, Tushar, Michael Dayan, Mina S. Makary, et al.. (2021). Temporal and geospatial variations among the interventional radiology physician workforce in the United States. Clinical Imaging. 78. 105–109. 6 indexed citations

Valsasina, Paola, Michael Dayan, Sebastiano Vascon, et al.. (2021). Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification. ARCA (Università Ca' Foscari Venezia). 10106–10112. 1 indexed citations

Abdelnour, Farras, Michael Dayan, Orrin Devinsky, Thomas Thesen, & Ashish Raj. (2020). Algebraic relationship between the structural network’s Laplacian and functional network’s adjacency matrix is preserved in temporal lobe epilepsy subjects. NeuroImage. 228. 117705–117705. 9 indexed citations

Ye, Qun, Futing Zou, Michael Dayan, et al.. (2019). Individual susceptibility to TMS affirms the precuneal role in meta-memory upon recollection. Brain Structure and Function. 224(7). 2407–2419. 28 indexed citations

Aslani, Shahab, Michael Dayan, Loredana Storelli, et al.. (2019). Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. NeuroImage. 196. 1–15. 114 indexed citations

Dayan, Michael, et al.. (2019). Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study. CINECA IRIS Institutial Research Information System (University of Genoa). 19. 1–4. 1 indexed citations

Abdelnour, Farras, Michael Dayan, Orrin Devinsky, Thomas Thesen, & Ashish Raj. (2018). Functional brain connectivity is predictable from anatomic network's Laplacian eigen-structure. NeuroImage. 172. 728–739. 94 indexed citations

Weigand, Stephen D., Michael Dayan, Yunhong Shu, et al.. (2018). Dark Rims: Novel Sequence Enhances Diagnostic Specificity in Multiple Sclerosis. American Journal of Neuroradiology. 39(6). 1052–1058. 10 indexed citations

Huang, Yu, Anli Liu, Belen Lafon, et al.. (2017). Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation. eLife. 6. 389 indexed citations breakdown →

10.

Olivito, Giusy, Michael Dayan, Silvia Clausi, et al.. (2017). Bilateral effects of unilateral cerebellar lesions as detected by voxel based morphometry and diffusion imaging. PLoS ONE. 12(7). e0180439–e0180439. 8 indexed citations

11.

Dayan, Michael, Sandra Hurtado Rúa, Kyoko Fujimoto, et al.. (2017). MRI Analysis of White Matter Myelin Water Content in Multiple Sclerosis: A Novel Approach Applied to Finding Correlates of Cortical Thinning. Frontiers in Neuroscience. 11. 284–284. 15 indexed citations

12.

Huang, Yu, Anli Liu, Belen Lafon, et al.. (2017). Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation. Brain stimulation. 10(4). e25–e26. 23 indexed citations

13.

Dayan, Michael, et al.. (2015). Tractography of the optic radiation: a repeatability and reproducibility study. NMR in Biomedicine. 28(4). 423–431. 22 indexed citations

14.

Dayan, Michael, Sneha Pandya, Amy Kuceyeski, et al.. (2015). Profilometry: A new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis. Human Brain Mapping. 37(3). 989–1004. 31 indexed citations

15.

Kuceyeski, Amy, Wendy Vargas, Michael Dayan, et al.. (2014). Modeling the Relationship among Gray Matter Atrophy, Abnormalities in Connecting White Matter, and Cognitive Performance in Early Multiple Sclerosis. American Journal of Neuroradiology. 36(4). 702–709. 26 indexed citations

16.

Parker, Christopher S., Fani Deligianni, M. Jorge Cardoso, et al.. (2014). Consensus between Pipelines in Structural Brain Networks. PLoS ONE. 9(10). e111262–e111262. 15 indexed citations

17.

Vargas, Wendy, et al.. (2014). Longitudinal Changes in Myelin Water Fraction in New Multiple Sclerosis Lesions (S44.005). Neurology. 82(10_supplement). 1 indexed citations

18.

Clayden, Jonathan D., Michael Dayan, & Chris A. Clark. (2013). Principal Networks. PLoS ONE. 8(4). e60997–e60997. 5 indexed citations

19.

Dayan, Michael, Mónica Muñoz, Sebastian Jentschke, et al.. (2013). Optic radiation structure and anatomy in the normally developing brain determined using diffusion MRI and tractography. Brain Structure and Function. 220(1). 291–306. 36 indexed citations

20.

Aikawa, Masanori, Iroka J. Udeinya, J Rabbege, et al.. (1985). Structural Alteration of the Membrane of Erythrocytes Infected with Plasmodium falciparum¹. The Journal of Protozoology. 32(3). 424–429. 15 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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