Taylor Hanayik

44 total papers · 1.3k total citations
20 papers, 621 citations indexed

About

Taylor Hanayik is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Taylor Hanayik has authored 20 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Epidemiology. Recurrent topics in Taylor Hanayik's work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Taylor Hanayik is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Taylor Hanayik collaborates with scholars based in United States, United Kingdom and Germany. Taylor Hanayik's co-authors include Stephen M. Smith, Kevin Sharp, Lloyd T. Elliott, Fidel Alfaro‐Almagro, Gwenaëlle Douaud, Grigori Yourganov, Omid Kardan, John Jonides, Marc G. Berman and Hossein Karimi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Taylor Hanayik

18 papers receiving 616 citations

Hit Papers

An expanded set of genome... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Taylor Hanayik 255 146 121 92 90 20 621
Lianne M. Reus 379 1.5× 50 0.3× 88 0.7× 57 0.6× 201 2.2× 23 792
Carolina Piccini 215 0.8× 17 0.1× 85 0.7× 81 0.9× 57 0.6× 23 706
Patrick Sleiman 313 1.2× 43 0.3× 80 0.7× 20 0.2× 140 1.6× 16 712
Carolina Campanella 145 0.6× 121 0.8× 12 0.1× 117 1.3× 64 0.7× 21 613
S. Veillette 236 0.9× 30 0.2× 47 0.4× 49 0.5× 167 1.9× 12 719
Helen L. Alderson 373 1.5× 35 0.2× 42 0.3× 67 0.7× 142 1.6× 11 751
Shigeyuki Ikeda 418 1.6× 46 0.3× 13 0.1× 85 0.9× 140 1.6× 52 758
Leo Gschwind 231 0.9× 16 0.1× 83 0.7× 77 0.8× 18 0.2× 21 786
M. Perron 236 0.9× 30 0.2× 46 0.4× 49 0.5× 167 1.9× 11 659
M LeMay 176 0.7× 16 0.1× 59 0.5× 51 0.6× 119 1.3× 24 772

Countries citing papers authored by Taylor Hanayik

Since Specialization
Citations

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

Fields of papers citing papers by Taylor Hanayik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taylor Hanayik

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

All Works

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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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