Quay Au

1.0k total citations
9 papers, 494 citations indexed

About

Quay Au is a scholar working on Experimental and Cognitive Psychology, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Quay Au has authored 9 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 3 papers in Sociology and Political Science and 3 papers in Artificial Intelligence. Recurrent topics in Quay Au's work include Machine Learning and Data Classification (3 papers), Mental Health Research Topics (3 papers) and Impact of Technology on Adolescents (3 papers). Quay Au is often cited by papers focused on Machine Learning and Data Classification (3 papers), Mental Health Research Topics (3 papers) and Impact of Technology on Adolescents (3 papers). Quay Au collaborates with scholars based in Germany, United States and Australia. Quay Au's co-authors include Bernd Bischl, Giuseppe Casalicchio, Clemens Stachl, Stefan Coors, Patrick Schratz, Lars Kotthoff, Florian Pfisterer, Martin Binder, Michel Lang and Jakob Richter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, European Journal of Personality and Data Mining and Knowledge Discovery.

In The Last Decade

Quay Au

9 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quay Au Germany	7	103	94	63	63	54	9	494
Alexander Kowarik Austria	7	145 1.4×	45 0.5×	69 1.1×	12 0.2×	40 0.7×	16	651
Heather Turner United States	14	60 0.6×	39 0.4×	94 1.5×	18 0.3×	60 1.1×	26	886
Jiang Hu China	12	94 0.9×	36 0.4×	106 1.7×	23 0.4×	76 1.4×	65	779
Jorge López Puga Spain	11	43 0.4×	49 0.5×	59 0.9×	26 0.4×	27 0.5×	60	455
Yangyang Liu China	12	58 0.6×	29 0.3×	36 0.6×	14 0.2×	127 2.4×	29	764
Sara van Erp Netherlands	7	56 0.5×	84 0.9×	29 0.5×	35 0.6×	24 0.4×	11	412
Jiue‐An Yang United States	13	45 0.4×	146 1.6×	137 2.2×	16 0.3×	79 1.5×	38	810
Stephen E. Fienberg United States	7	125 1.2×	36 0.4×	73 1.2×	7 0.1×	28 0.5×	8	713
María Isabel Viedma-del-Jesús Spain	7	45 0.4×	46 0.5×	59 0.9×	9 0.1×	32 0.6×	8	445
Patrick J. Miller United States	16	26 0.3×	50 0.5×	19 0.3×	36 0.6×	60 1.1×	28	626

Countries citing papers authored by Quay Au

Since Specialization

Citations

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

Fields of papers citing papers by Quay Au

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quay Au

This figure shows the co-authorship network connecting the top 25 collaborators of Quay Au. A scholar is included among the top collaborators of Quay Au 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 Quay Au. Quay Au is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Au, Quay, Julia Herbinger, Clemens Stachl, Bernd Bischl, & Giuseppe Casalicchio. (2022). Grouped feature importance and combined features effect plot. Data Mining and Knowledge Discovery. 36(4). 1401–1450. 35 indexed citations

2.

Stachl, Clemens, Quay Au, Ramona Schoedel, et al.. (2020). Predicting personality from patterns of behavior collected with smartphones. Proceedings of the National Academy of Sciences. 117(30). 17680–17687. 145 indexed citations

3.

Schoedel, Ramona, Florian Pargent, Quay Au, et al.. (2020). To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns. European Journal of Personality. 34(5). 733–752. 30 indexed citations

4.

Lang, Michel, Martin Binder, Jakob Richter, et al.. (2019). mlr3: A modern object-oriented machine learning framework in R. The Journal of Open Source Software. 4(44). 1903–1903. 235 indexed citations

5.

Buschek, Daniel, Gabriella M. Harari, Quay Au, et al.. (2018). Repository: Predicting Personality from Patterns of Behavior Collected with Smartphones. OSF Preprints (OSF Preprints). 2 indexed citations

6.

Schoedel, Ramona, Quay Au, Sarah Theres Völkel, et al.. (2018). Digital Footprints of Sensation Seeking. Zeitschrift für Psychologie. 226(4). 232–245. 25 indexed citations

7.

Völkel, Sarah Theres, et al.. (2018). I Drive My Car and My States Drive Me. 198–203. 7 indexed citations

8.

Bischl, Bernd, Quay Au, Clemens Stachl, et al.. (2017). The PhoneStudy Project. OSF Preprints (OSF Preprints). 2 indexed citations

9.

Probst, Philipp, Quay Au, Giuseppe Casalicchio, Clemens Stachl, & Bernd Bischl. (2017). Multilabel Classification with R Package mlr. The R Journal. 9(1). 352–352. 13 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.

Explore authors with similar magnitude of impact