Kristina Schaaff

543 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 Heart Rate Variability and Autonomic Control (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 Heart Rate Variability and Autonomic Control (2 papers). Kristina Schaaff collaborates with scholars based in Germany, Australia and Sweden. Kristina Schaaff's co-authors include Tanja Schultz, Marc T. P. Adam, Petar Jerčić, Christof Weinhardt, Daniel W. Richards, Gareth Davies, Mark Fenton‐O’Creevy 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kristina Schaaff Germany	7	148	142	53	47	38	11	303
Maria Jabon United States	5	103 0.7×	183 1.3×	41 0.8×	105 2.2×	56 1.5×	8	362
Guanxiong Pei China	14	187 1.3×	143 1.0×	11 0.2×	111 2.4×	25 0.7×	40	440
Joan Guix Oliver Spain	7	142 1.0×	128 0.9×	54 1.0×	47 1.0×	18 0.5×	14	292
Philippe Zimmermann Switzerland	5	87 0.6×	138 1.0×	19 0.4×	82 1.7×	30 0.8×	11	269
Michelle Rowe Australia	7	86 0.6×	87 0.6×	29 0.5×	73 1.6×	23 0.6×	19	295
Brandon M. Booth United States	12	56 0.4×	161 1.1×	49 0.9×	38 0.8×	18 0.5×	34	425
Agata Kołakowska Poland	9	93 0.6×	160 1.1×	12 0.2×	68 1.4×	64 1.7×	23	328
Hillol Sarker United States	8	37 0.3×	101 0.7×	32 0.6×	19 0.4×	56 1.5×	15	416
Petar Jerčić Sweden	7	78 0.5×	77 0.5×	38 0.7×	63 1.3×	39 1.0×	11	247
David A. Kobus United States	9	93 0.6×	44 0.3×	7 0.1×	68 1.4×	24 0.6×	22	305

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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11 of 11 papers shown

1.

Schaaff, Kristina, et al.. (2024). Effects of Language- and Culture-Specific Prompting on ChatGPT. 73–81. 1 indexed citations

2.

Schaaff, Kristina, et al.. (2024). Classification of human- and AI-generated texts for different languages and domains. International Journal of Speech Technology. 27(4). 935–956. 3 indexed citations

3.

Schaaff, Kristina, et al.. (2024). Investigating Text and Image Features for the Detection of Cyberbulling. 119–123.

4.

Schaaff, Kristina, et al.. (2023). Exploring ChatGPT’s Empathic Abilities. 1–8. 13 indexed citations

5.

Schaaff, Kristina. (2013). Enhancing Mobile Working Memory Training by Using Affective Feedback.. International Association for Development of the Information Society. 3 indexed citations

6.

Adam, Marc T. P., et al.. (2013). Integrating Biosignals into Information Systems: A NeuroIS Tool for Improving Emotion Regulation. Journal of Management Information Systems. 30(3). 247–278. 68 indexed citations

7.

Schaaff, Kristina & Marc T. P. Adam. (2013). Measuring Emotional Arousal for Online Applications: Evaluation of Ultra-short Term Heart Rate Variability Measures. 362–368. 26 indexed citations

8.

Fenton‐O’Creevy, Mark, et al.. (2012). Emotion regulation and trader expertise: Heart rate variability on the trading floor.. Journal of Neuroscience Psychology and Economics. 5(4). 227–237. 57 indexed citations

9.

Schaaff, Kristina, et al.. (2012). Measuring Affect Using a Standard Mouse Device. Biomedizinische Technik/Biomedical Engineering. 57(SI-1 Track-N). 8 indexed citations

10.

Schaaff, Kristina & Tanja Schultz. (2009). Towards an EEG-based emotion recognizer for humanoid robots. 792–796. 53 indexed citations

11.

Schaaff, Kristina & Tanja Schultz. (2009). Towards emotion recognition from electroencephalographic signals. 1–6. 71 indexed citations

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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