Heiko H. Schütt
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Sensory Systems top 10%
- Co-authors
- Felix A. WichmannStefan HarmelingJakob H. MackeRalf EngbertRoland W. FlemingΜ. CremerWei JiArash Akbarinia
- Topics
- Visual perception and processing mechanisms (7 papers)Neural dynamics and brain function (6 papers)Face Recognition and Perception (3 papers)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Heiko H. Schütt
15 papers receiving 413 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 343
- Experimental and Cognitive Psychology 75
- Computer Vision and Pattern Recognition 72
- Social Psychology 47
- Sensory Systems 38
Countries citing papers authored by Heiko H. Schütt
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 44 | |
| 10 | 1 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed databreakdown → | 249 |
| 15 | 7 | |
| 16 | 23 | |
| 17 | A COMPREHENSIVE CONCEPT FOR SIMULTANEOUS STATE OBSERVATION, PARAMETER ESTIMATION AND INCIDENT DETECTION | 12 |
About Heiko H. Schütt
Heiko H. Schütt is a scholar working on Cognitive Neuroscience, General Decision Sciences and Human-Computer Interaction, having authored 17 papers that have together received 424 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Cognitive Neuroscience (343 citations), Sensory Systems (38 citations) and Experimental and Cognitive Psychology (75 citations). Heiko H. Schütt has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Felix A. Wichmann, Stefan Harmeling, Jakob H. Macke, Ralf Engbert, Roland W. Fleming, Μ. Cremer, Wei Ji, Arash Akbarinia, Nikolaus Kriegeskorte and Jörn Diedrichsen. Their work appears in journals such as Nature Neuroscience, Psychological Review and Scientific Reports.
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.