Maja Dshemuchadse

40 total papers · 958 total citations
27 papers, 680 citations indexed

About

Maja Dshemuchadse is a scholar working on Cognitive Neuroscience, General Decision Sciences and Safety Research. According to data from OpenAlex, Maja Dshemuchadse has authored 27 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in General Decision Sciences and 6 papers in Safety Research. Recurrent topics in Maja Dshemuchadse's work include Neural and Behavioral Psychology Studies (19 papers), Decision-Making and Behavioral Economics (11 papers) and Experimental Behavioral Economics Studies (6 papers). Maja Dshemuchadse is often cited by papers focused on Neural and Behavioral Psychology Studies (19 papers), Decision-Making and Behavioral Economics (11 papers) and Experimental Behavioral Economics Studies (6 papers). Maja Dshemuchadse collaborates with scholars based in Germany, Switzerland and Sweden. Maja Dshemuchadse's co-authors include Stefan Scherbaum, Thomas Goschke, Rico Fischer, Anja Kräplin, Gerhard Bühringer, Silke Behrendt, Susanne Leiberg, Hannes Ruge, Annemarie Kalis and Steven J. Lade and has published in prestigious journals such as PLoS ONE, NeuroImage and Cognition.

In The Last Decade

Maja Dshemuchadse

24 papers receiving 670 citations

Author Peers

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

Author Last Decade Papers Cites
Maja Dshemuchadse 443 200 160 138 118 27 680
Lital Ruderman 348 0.8× 248 1.2× 183 1.1× 125 0.9× 82 0.7× 14 746
Giles W. Story 222 0.5× 143 0.7× 151 0.9× 126 0.9× 95 0.8× 24 650
Benjamin P. Kowal 264 0.6× 245 1.2× 178 1.1× 231 1.7× 52 0.4× 19 720
David Polezzi 590 1.3× 133 0.7× 126 0.8× 66 0.5× 141 1.2× 9 704
Blair Saunders 381 0.9× 106 0.5× 314 2.0× 268 1.9× 150 1.3× 30 685
Ryan K. Jessup 334 0.8× 163 0.8× 71 0.4× 54 0.4× 79 0.7× 17 613
Payam Piray 506 1.1× 88 0.4× 182 1.1× 68 0.5× 56 0.5× 20 761
Todd L. McKerchar 181 0.4× 318 1.6× 121 0.8× 213 1.5× 62 0.5× 22 691
Cynthia J. Pietras 193 0.4× 143 0.7× 129 0.8× 151 1.1× 93 0.8× 31 739
Kobe Desender 630 1.4× 151 0.8× 139 0.9× 51 0.4× 97 0.8× 32 761

Countries citing papers authored by Maja Dshemuchadse

Since Specialization
Citations

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

Fields of papers citing papers by Maja Dshemuchadse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Dshemuchadse

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