Kristina Schaaff

27 total papers · 536 total citations
11 papers, 303 citations indexed

About

Kristina Schaaff is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Kristina Schaaff has authored 11 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Experimental and Cognitive Psychology, 4 papers in Artificial Intelligence and 3 papers in Social Psychology. Recurrent topics in Kristina Schaaff's work include Emotion and Mood Recognition (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Color perception and design (2 papers). Kristina Schaaff is often cited by papers focused on Emotion and Mood Recognition (4 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Color perception and design (2 papers). Kristina Schaaff collaborates with scholars based in Germany, Sweden and United States. Kristina Schaaff's co-authors include Tanja Schultz, Marc T. P. Adam, Christof Weinhardt, Petar Jerčić, Mark Fenton‐O’Creevy, Gareth Davies, Daniel W. Richards and Tim Schlippe and has published in prestigious journals such as Journal of Management Information Systems, International Journal of Speech Technology and Biomedizinische Technik/Biomedical Engineering.

In The Last Decade

Kristina Schaaff

10 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Kristina Schaaff 148 142 53 47 38 11 303
Maria Jabon 103 0.7× 183 1.3× 41 0.8× 104 2.2× 56 1.5× 8 359
Mark Schier 212 1.4× 84 0.6× 38 0.7× 49 1.0× 13 0.3× 16 329
Joan Guix Oliver 140 0.9× 125 0.9× 54 1.0× 47 1.0× 18 0.5× 14 289
Ramon Soranzo 258 1.7× 101 0.7× 24 0.5× 70 1.5× 7 0.2× 11 365
Michelle Rowe 86 0.6× 87 0.6× 29 0.5× 73 1.6× 23 0.6× 19 295
Philippe Zimmermann 87 0.6× 137 1.0× 19 0.4× 82 1.7× 30 0.8× 10 267
Shaojie Li 112 0.8× 131 0.9× 17 0.3× 53 1.1× 28 0.7× 21 323
Oswald Barral 166 1.1× 65 0.5× 17 0.3× 48 1.0× 66 1.7× 22 339
David A. Kobus 94 0.6× 44 0.3× 7 0.1× 68 1.4× 24 0.6× 22 305
Wioleta Szwoch 80 0.5× 144 1.0× 20 0.4× 54 1.1× 35 0.9× 9 218

Countries citing papers authored by Kristina Schaaff

Since Specialization
Citations

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

Fields of papers citing papers by Kristina Schaaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristina Schaaff

This figure shows the co-authorship network connecting the top 25 collaborators of Kristina Schaaff. A scholar is included among the top collaborators of Kristina Schaaff 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 Kristina Schaaff. Kristina Schaaff 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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2026