Elinor Tzvi

39 total papers · 775 total citations
28 papers, 483 citations indexed

About

Elinor Tzvi is a scholar working on Cognitive Neuroscience, Neurology and Neurology. According to data from OpenAlex, Elinor Tzvi has authored 28 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 16 papers in Neurology and 6 papers in Neurology. Recurrent topics in Elinor Tzvi's work include Vestibular and auditory disorders (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Transcranial Magnetic Stimulation Studies (9 papers). Elinor Tzvi is often cited by papers focused on Vestibular and auditory disorders (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Transcranial Magnetic Stimulation Studies (9 papers). Elinor Tzvi collaborates with scholars based in Germany, Denmark and United States. Elinor Tzvi's co-authors include Ulrike M. Krämer, Thomas F. Münte, Matthias Liebrand, Sebastian Loens, Opher Donchin, Joseph Claßen, Karsten Witt, Hartwig R. Siebner, Anke Ninija Karabanov and Rolf Verleger and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Elinor Tzvi

26 papers receiving 478 citations

Author Peers

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

Author Last Decade Papers Cites
Elinor Tzvi 344 191 82 75 56 28 483
Ivan Herreros 240 0.7× 149 0.8× 82 1.0× 119 1.6× 29 0.5× 20 443
Hisao Hiraba 173 0.5× 142 0.7× 89 1.1× 79 1.1× 36 0.6× 26 486
Ken’ichi Matsunami 242 0.7× 140 0.7× 47 0.6× 122 1.6× 71 1.3× 39 448
M. Nitschke 261 0.8× 183 1.0× 91 1.1× 100 1.3× 38 0.7× 13 505
H.-J. Freund 204 0.6× 209 1.1× 99 1.2× 68 0.9× 43 0.8× 20 521
Gabriela Cantarero 335 1.0× 273 1.4× 41 0.5× 86 1.1× 134 2.4× 21 511
Takahiro Ishikawa 235 0.7× 205 1.1× 58 0.7× 132 1.8× 56 1.0× 25 496
Lucia Mencarelli 256 0.7× 200 1.0× 61 0.7× 62 0.8× 35 0.6× 27 470
Francesco Neri 257 0.7× 169 0.9× 45 0.5× 38 0.5× 41 0.7× 24 439
Mélanie Kaeser 170 0.5× 166 0.9× 59 0.7× 122 1.6× 123 2.2× 22 467

Countries citing papers authored by Elinor Tzvi

Since Specialization
Citations

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

Fields of papers citing papers by Elinor Tzvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elinor Tzvi

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