Caio Seguin

2.5k total citations · 3 hit papers
33 papers, 1.3k citations indexed

About

Caio Seguin is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Caio Seguin has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Caio Seguin's work include Functional Brain Connectivity Studies (28 papers), Neural dynamics and brain function (17 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Caio Seguin is often cited by papers focused on Functional Brain Connectivity Studies (28 papers), Neural dynamics and brain function (17 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Caio Seguin collaborates with scholars based in Australia, United States and Germany. Caio Seguin's co-authors include Andrew Zalesky, Martijn P. van den Heuvel, Ruben Schmidt, Siemon C. de Lange, B.T. Thomas Yeo, Olaf Sporns, Sarah Whittle, Robert E. Smith, Adeel Razi and Vanessa Cropley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Caio Seguin

31 papers receiving 1.3k citations

Hit Papers

Proportional thresholding in resting-state fMRI functiona... 2017 2026 2020 2023 2017 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caio Seguin Australia 15 965 520 176 98 88 33 1.3k
Joshua Faskowitz United States 21 1.1k 1.1× 437 0.8× 226 1.3× 100 1.0× 52 0.6× 57 1.4k
Graham L. Baum United States 13 1.3k 1.4× 686 1.3× 289 1.6× 159 1.6× 94 1.1× 21 1.6k
Maxwell A. Bertolero United States 11 980 1.0× 320 0.6× 177 1.0× 89 0.9× 49 0.6× 20 1.2k
Thomas A. W. Bolton Switzerland 18 1.4k 1.5× 568 1.1× 313 1.8× 147 1.5× 39 0.4× 56 1.8k
František Váša United Kingdom 13 993 1.0× 522 1.0× 177 1.0× 105 1.1× 44 0.5× 24 1.3k
Sachin Dixit United States 6 1.2k 1.2× 510 1.0× 203 1.2× 269 2.7× 77 0.9× 7 1.5k
Rodrigo M. Braga United States 18 1.7k 1.7× 481 0.9× 319 1.8× 174 1.8× 90 1.0× 31 1.9k
David S. Grayson United States 14 1000 1.0× 379 0.7× 143 0.8× 229 2.3× 123 1.4× 16 1.3k
Megan Quarmley United States 13 561 0.6× 380 0.7× 153 0.9× 145 1.5× 78 0.9× 19 982
Mary-Ellen Lynall United Kingdom 12 1.4k 1.5× 550 1.1× 461 2.6× 175 1.8× 46 0.5× 17 1.9k

Countries citing papers authored by Caio Seguin

Since Specialization
Citations

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

Fields of papers citing papers by Caio Seguin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caio Seguin

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

All Works

20 of 20 papers shown
1.
Seguin, Caio, et al.. (2025). Deep generation of personalized connectomes based on individual attributes. Medical Image Analysis. 106. 103761–103761. 1 indexed citations
2.
Seguin, Caio, Richard F. Betzel, Daniel Han, et al.. (2024). A generative model of the connectome with dynamic axon growth. Network Neuroscience. 8(4). 1192–1211. 6 indexed citations
3.
Faskowitz, Joshua, et al.. (2024). Relation of connectome topology to brain volume across 103 mammalian species. PLoS Biology. 22(2). e3002489–e3002489. 3 indexed citations
4.
Betzel, Richard F., et al.. (2024). Hierarchical communities in the larval Drosophila connectome: Links to cellular annotations and network topology. Proceedings of the National Academy of Sciences. 121(38). e2320177121–e2320177121. 5 indexed citations
6.
Faskowitz, Joshua, et al.. (2024). Structural-functional brain network coupling predicts human cognitive ability. NeuroImage. 290. 120563–120563. 19 indexed citations
7.
Seguin, Caio, Maciej Jedynak, Olivier David, et al.. (2023). Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation. Neuron. 111(9). 1391–1401.e5. 28 indexed citations
8.
L., Sina Mansour, Maria A. Di Biase, Robert E. Smith, Andrew Zalesky, & Caio Seguin. (2023). Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale brain network resource. NeuroImage. 283. 120407–120407. 14 indexed citations
9.
Seguin, Caio, et al.. (2023). Co-evolving dynamics and topology in a coupled oscillator model of resting brain function. NeuroImage. 277. 120266–120266. 7 indexed citations
10.
Seguin, Caio, Olaf Sporns, & Andrew Zalesky. (2023). Brain network communication: concepts, models and applications. Nature reviews. Neuroscience. 24(9). 557–574. 98 indexed citations breakdown →
11.
Zhang, Fan, Alessandro Daducci, Yong He, et al.. (2022). Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review. NeuroImage. 249. 118870–118870. 149 indexed citations breakdown →
12.
L., Sina Mansour, Caio Seguin, Robert E. Smith, & Andrew Zalesky. (2022). Connectome spatial smoothing (CSS): Concepts, methods, and evaluation. NeuroImage. 250. 118930–118930. 12 indexed citations
13.
Seguin, Caio, Sina Mansour L., Olaf Sporns, Andrew Zalesky, & Fernando Calamante. (2022). Network communication models narrow the gap between the modular organization of structural and functional brain networks. NeuroImage. 257. 119323–119323. 24 indexed citations
14.
Sorrentino, Pierpaolo, Caio Seguin, Rosaria Rucco, et al.. (2021). The structural connectome constrains fast brain dynamics. eLife. 10. 46 indexed citations
15.
Imms, Phoebe, Juan F. Domínguez D, Caio Seguin, et al.. (2021). Navigating the link between processing speed and network communication in the human brain. Brain Structure and Function. 226(4). 1281–1302. 24 indexed citations
16.
Seguin, Caio, Ye Tian, & Andrew Zalesky. (2020). Network communication models improve the behavioral and functional predictive utility of the human structural connectome. Network Neuroscience. 4(4). 980–1006. 62 indexed citations
17.
Zhao, Baotian, Caio Seguin, Lin Ai, et al.. (2020). Aberrant Metabolic Patterns Networks in Insular Epilepsy. Frontiers in Neurology. 11. 605256–605256. 13 indexed citations
18.
Seguin, Caio, Martijn P. van den Heuvel, & Andrew Zalesky. (2018). Navigation of brain networks. Proceedings of the National Academy of Sciences. 115(24). 6297–6302. 110 indexed citations
19.
Ganella, Eleni P., Caio Seguin, Cali F. Bartholomeusz, et al.. (2017). Risk and resilience brain networks in treatment-resistant schizophrenia. Schizophrenia Research. 193. 284–292. 13 indexed citations
20.
Ganella, Eleni P., Cali F. Bartholomeusz, Caio Seguin, et al.. (2016). Functional brain networks in treatment-resistant schizophrenia. Schizophrenia Research. 184. 73–81. 39 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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