Heiko H. Schütt

1.3k total citations · 1 hit paper
17 papers, 424 citations indexed

About

Heiko H. Schütt is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Heiko H. Schütt has authored 17 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Heiko H. Schütt's work include Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers) and Face Recognition and Perception (3 papers). Heiko H. Schütt is often cited by papers focused on Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers) and Face Recognition and Perception (3 papers). Heiko H. Schütt collaborates with scholars based in Germany, United States and Canada. Heiko H. Schütt's co-authors include Felix A. Wichmann, Stefan Harmeling, Jakob H. Macke, Ralf Engbert, Μ. Cremer, Roland W. Fleming, Wei Ji, Arash Akbarinia, Karl R. Gegenfurtner and Nikolaus Kriegeskorte and has published in prestigious journals such as Nature Neuroscience, Psychological Review and Scientific Reports.

In The Last Decade

Heiko H. Schütt

15 papers receiving 413 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data

2016 249 citations Heiko H. Schütt, Stefan Harmeling et al. Vision Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heiko H. Schütt Germany	9	343	75	72	47	38	17	424
Arash Yazdanbakhsh United States	15	528 1.5×	47 0.6×	59 0.8×	56 1.2×	22 0.6×	39	600
Scott S. Grigsby United States	6	319 0.9×	31 0.4×	38 0.5×	46 1.0×	18 0.5×	13	481
Iris I. A. Groen Netherlands	15	782 2.3×	85 1.1×	278 3.9×	70 1.5×	45 1.2×	34	924
T Radil Czechia	11	334 1.0×	108 1.4×	43 0.6×	44 0.9×	74 1.9×	66	488
Brent R. Beutter United States	12	552 1.6×	35 0.5×	216 3.0×	56 1.2×	27 0.7×	45	668
Emily Allen United States	12	457 1.3×	96 1.3×	76 1.1×	29 0.6×	30 0.8×	25	630
E. G. J. Eijkman Netherlands	13	231 0.7×	70 0.9×	39 0.5×	43 0.9×	17 0.4×	29	491
Rocío Alcalá‐Quintana Spain	16	498 1.5×	276 3.7×	24 0.3×	83 1.8×	103 2.7×	31	668
Johannes Rüter Switzerland	7	437 1.3×	75 1.0×	62 0.9×	71 1.5×	33 0.9×	10	503
Ling-Po Shiu United States	9	719 2.1×	173 2.3×	42 0.6×	74 1.6×	13 0.3×	13	778

Countries citing papers authored by Heiko H. Schütt

Since Specialization

Citations

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

Fields of papers citing papers by Heiko H. Schütt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heiko H. Schütt. 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 Heiko H. Schütt. The network helps show where Heiko H. Schütt may publish in the future.

Co-authorship network of co-authors of Heiko H. Schütt

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

All Works

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17 of 17 papers shown

Kay, Kendrick, Jacob S. Prince, Greta Tuckute, et al.. (2025). Disentangling signal and noise in neural responses through generative modeling. PLoS Computational Biology. 21(7). e1012092–e1012092.

Schütt, Heiko H., et al.. (2024). Reward prediction error neurons implement an efficient code for reward. Nature Neuroscience. 27(7). 1333–1339. 5 indexed citations

Schütt, Heiko H., et al.. (2023). Statistical inference on representational geometries. eLife. 12. 9 indexed citations

Schütt, Heiko H., et al.. (2023). Point estimate observers: A new class of models for perceptual decision making.. Psychological Review. 130(2). 334–367.

Golan, Tal, Heiko H. Schütt, Benjamin Peters, et al.. (2023). Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses. Behavioral and Brain Sciences. 46. e392–e392. 3 indexed citations

Schütt, Heiko H., et al.. (2023). Using deep neural networks as a guide for modeling human planning. Scientific Reports. 13(1). 20269–20269. 8 indexed citations

Akbarinia, Arash, et al.. (2022). Deep neural models for color classification and color constancy. Journal of Vision. 22(4). 17–17. 20 indexed citations

Schütt, Heiko H., et al.. (2022). Statistical inference on representational geometries. 2 indexed citations

Schütt, Heiko H., et al.. (2019). Disentangling bottom-up versus top-down and low-level versus high-level influences on eye movements over time. Journal of Vision. 19(3). 1–1. 44 indexed citations

10.

Wichmann, Felix A., et al.. (2018). Potsdam Scene Viewing Corpus. OSF Preprints (OSF Preprints). 1 indexed citations

11.

Schütt, Heiko H. & Felix A. Wichmann. (2017). An image-computable psychophysical spatial vision model. Journal of Vision. 17(12). 12–12. 26 indexed citations

12.

Wichmann, Felix A., et al.. (2017). Methods and measurements to compare men against machines. Electronic Imaging. 29(14). 36–45. 14 indexed citations

13.

Geirhos, Robert, et al.. (2017). Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison. Journal of Vision. 17(10). 806–806. 1 indexed citations

14.

Schütt, Heiko H., Stefan Harmeling, Jakob H. Macke, & Felix A. Wichmann. (2016). Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research. 122. 105–123. 249 indexed citations breakdown →

15.

Schütt, Heiko H., Franziska Baier‐Mosch, & Roland W. Fleming. (2016). Perception of light source distance from shading patterns. Journal of Vision. 16(3). 9–9. 7 indexed citations

16.

Schütt, Heiko H., Stefan Harmeling, Jakob H. Macke, & Felix A. Wichmann. (2015). Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. Journal of Vision. 15(12). 474–474. 23 indexed citations

17.

Cremer, Μ. & Heiko H. Schütt. (1990). A COMPREHENSIVE CONCEPT FOR SIMULTANEOUS STATE OBSERVATION, PARAMETER ESTIMATION AND INCIDENT DETECTION. 12 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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