Stefanie Hutka

21 total papers · 866 total citations
17 papers, 556 citations indexed

About

Stefanie Hutka is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Stefanie Hutka has authored 17 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Stefanie Hutka's work include Neuroscience and Music Perception (9 papers), Hearing Loss and Rehabilitation (6 papers) and Virtual Reality Applications and Impacts (5 papers). Stefanie Hutka is often cited by papers focused on Neuroscience and Music Perception (9 papers), Hearing Loss and Rehabilitation (6 papers) and Virtual Reality Applications and Impacts (5 papers). Stefanie Hutka collaborates with scholars based in United States, Canada and Ireland. Stefanie Hutka's co-authors include Gavin M. Bidelman, Sylvain Moreno, Claude Alain, Benjamin Rich Zendel, Lynne J. Williams, Erin J. White, Laura Herman, Malcolm A. Binns, Abraham G. Campbell and Paul Sweeney and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and Neuropsychologia.

In The Last Decade

Stefanie Hutka

14 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
Stefanie Hutka 461 166 100 82 75 17 556
Manuela M. Marin 505 1.1× 313 1.9× 100 1.0× 60 0.7× 203 2.7× 23 634
Andrew H. Gregory 514 1.1× 159 1.0× 164 1.6× 112 1.4× 102 1.4× 20 675
Anjali Bhatara 509 1.1× 231 1.4× 67 0.7× 196 2.4× 95 1.3× 23 650
Boris Kleber 513 1.1× 175 1.1× 91 0.9× 35 0.4× 158 2.1× 28 670
Andrea R. Kilgour 533 1.2× 210 1.3× 165 1.6× 88 1.1× 137 1.8× 17 649
Swathi Swaminathan 460 1.0× 132 0.8× 241 2.4× 65 0.8× 181 2.4× 17 562
Howard J. Kallman 484 1.0× 237 1.4× 22 0.2× 61 0.7× 31 0.4× 30 561
Bart Moens 341 0.7× 36 0.2× 54 0.5× 57 0.7× 146 1.9× 31 521
Andreas Højlund 492 1.1× 209 1.3× 101 1.0× 53 0.6× 120 1.6× 33 656
Olivier Houix 287 0.6× 179 1.1× 22 0.2× 30 0.4× 89 1.2× 35 529

Countries citing papers authored by Stefanie Hutka

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie Hutka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Hutka

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