Daphne Voineskos

77 total papers · 1.8k total citations
42 papers, 926 citations indexed

About

Daphne Voineskos is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Daphne Voineskos has authored 42 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Neurology, 22 papers in Cognitive Neuroscience and 17 papers in Psychiatry and Mental health. Recurrent topics in Daphne Voineskos's work include Transcranial Magnetic Stimulation Studies (25 papers), Functional Brain Connectivity Studies (17 papers) and Electroconvulsive Therapy Studies (14 papers). Daphne Voineskos is often cited by papers focused on Transcranial Magnetic Stimulation Studies (25 papers), Functional Brain Connectivity Studies (17 papers) and Electroconvulsive Therapy Studies (14 papers). Daphne Voineskos collaborates with scholars based in Canada, United States and Australia. Daphne Voineskos's co-authors include Zafiris J. Daskalakis, Daniel M. Blumberger, Tarek K. Rajji, Reza Zomorrodi, Paul B. Fitzgerald, Faranak Farzan, Nigel C. Rogasch, Jonathan Downar, Daniel M. Blumberger and George Foussias and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Daphne Voineskos

40 papers receiving 913 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Daphne Voineskos 378 376 270 267 141 42 926
Kenji Sakuma 302 0.8× 404 1.1× 441 1.6× 182 0.7× 157 1.1× 89 1.2k
A. Galinowski 271 0.7× 477 1.3× 476 1.8× 168 0.6× 72 0.5× 58 1.1k
Nikolaus Michael 292 0.8× 329 0.9× 489 1.8× 224 0.8× 251 1.8× 24 1.2k
A. Lucca 381 1.0× 339 0.9× 374 1.4× 311 1.2× 262 1.9× 32 1.2k
Megha Vasavada 262 0.7× 469 1.2× 372 1.4× 470 1.8× 90 0.6× 35 1.1k
Francesca Regen 214 0.6× 280 0.7× 251 0.9× 243 0.9× 96 0.7× 44 1.0k
Zafiris J. Daskalakis 216 0.6× 264 0.7× 654 2.4× 271 1.0× 183 1.3× 40 977
Sakiko Tsugawa 205 0.5× 368 1.0× 249 0.9× 128 0.5× 168 1.2× 39 1.0k
François‐Laurent De Winter 137 0.4× 356 0.9× 389 1.4× 191 0.7× 159 1.1× 39 866
Masataka Wada 228 0.6× 446 1.2× 269 1.0× 136 0.5× 159 1.1× 62 1.2k

Countries citing papers authored by Daphne Voineskos

Since Specialization
Citations

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

Fields of papers citing papers by Daphne Voineskos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daphne Voineskos

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