Tamar Kolodny

34 total papers · 446 total citations
20 papers, 261 citations indexed

About

Tamar Kolodny is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tamar Kolodny has authored 20 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 8 papers in Psychiatry and Mental health and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tamar Kolodny's work include Neural and Behavioral Psychology Studies (8 papers), Attention Deficit Hyperactivity Disorder (8 papers) and Functional Brain Connectivity Studies (7 papers). Tamar Kolodny is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Attention Deficit Hyperactivity Disorder (8 papers) and Functional Brain Connectivity Studies (7 papers). Tamar Kolodny collaborates with scholars based in United States, Israel and United Kingdom. Tamar Kolodny's co-authors include Michael‐Paul Schallmo, Raphael Bernier, Scott O. Murray, Jennifer Gerdts, Lilach Shalev, Carmel Mevorach, Alex Kale, Rachel Millin, Richard A.E. Edden and Anastasia V. Flevaris and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Tamar Kolodny

15 papers receiving 259 citations

Author Peers

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

Author Last Decade Papers Cites
Tamar Kolodny 219 48 47 29 29 20 261
Anni Richter 223 1.0× 53 1.1× 55 1.2× 18 0.6× 23 0.8× 25 323
Janelle Liu 185 0.8× 43 0.9× 34 0.7× 38 1.3× 30 1.0× 18 263
Sarah Banker 163 0.7× 42 0.9× 30 0.6× 34 1.2× 17 0.6× 16 311
Christa Payne 148 0.7× 58 1.2× 48 1.0× 30 1.0× 63 2.2× 15 326
John P. Hegarty 181 0.8× 45 0.9× 16 0.3× 38 1.3× 21 0.7× 16 232
Adonay S. Nunes 202 0.9× 47 1.0× 29 0.6× 12 0.4× 16 0.6× 27 289
Ana Saitovitch 167 0.8× 33 0.7× 19 0.4× 34 1.2× 18 0.6× 24 298
Manuela Schuetze 242 1.1× 57 1.2× 28 0.6× 53 1.8× 43 1.5× 10 331
Madalena Esteves 133 0.6× 37 0.8× 47 1.0× 8 0.3× 35 1.2× 19 270
Melody M.Y. Chan 186 0.8× 93 1.9× 21 0.4× 21 0.7× 32 1.1× 16 279

Countries citing papers authored by Tamar Kolodny

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Kolodny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Kolodny

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