Karin Müller

125 total papers · 978 total citations
44 papers, 534 citations indexed

About

Karin Müller is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Karin Müller has authored 44 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 17 papers in Artificial Intelligence and 14 papers in Human-Computer Interaction. Recurrent topics in Karin Müller's work include Tactile and Sensory Interactions (18 papers), Natural Language Processing Techniques (12 papers) and Interactive and Immersive Displays (10 papers). Karin Müller is often cited by papers focused on Tactile and Sensory Interactions (18 papers), Natural Language Processing Techniques (12 papers) and Interactive and Immersive Displays (10 papers). Karin Müller collaborates with scholars based in Germany, Netherlands and United States. Karin Müller's co-authors include Rainer Stiefelhagen, Kailun Yang, Kunyu Peng, Maarten de Rijke, Stefan Schlobach, Gilad Mishne, Andréa Weber, Jiaming Zhang, Jiaming Zhang and Thorsten Schwarz and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Leukemia Research and Educational Management Administration & Leadership.

In The Last Decade

Karin Müller

35 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Karin Müller	167	133	118	80	70	44	534
Carol Strohecker	121 0.7×	55 0.4×	45 0.4×	103 1.3×	84 1.2×	39	510
Evangelos Niforatos	76 0.5×	102 0.8×	114 1.0×	201 2.5×	17 0.2×	57	517
Jennifer S. Thom	56 0.3×	51 0.4×	43 0.4×	81 1.0×	145 2.1×	41	534
Tianyi Zhang	56 0.3×	89 0.7×	58 0.5×	64 0.8×	139 2.0×	27	534
Davіd Passіg	48 0.3×	73 0.5×	72 0.6×	174 2.2×	153 2.2×	41	581
Munéo Kitajima	171 1.0×	65 0.5×	71 0.6×	227 2.8×	28 0.4×	61	618
Joshua Hailpern	65 0.4×	132 1.0×	85 0.7×	137 1.7×	74 1.1×	33	467
Peter Scupelli	59 0.4×	85 0.6×	173 1.5×	298 3.7×	35 0.5×	40	553
Minsuk Chang	177 1.1×	43 0.3×	115 1.0×	118 1.5×	20 0.3×	28	459
Patricia Baggett	64 0.4×	52 0.4×	53 0.4×	51 0.6×	123 1.8×	20	481

Countries citing papers authored by Karin Müller

Since Specialization

Citations

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

Fields of papers citing papers by Karin Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Müller

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