Marian Sauter
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Sociology and Political Science
- Social Psychology
- Developmental and Educational Psychology
- Co-authors
- Wolfgang MackHeinrich R. LiesefeldHermann J. MüllerDejan DraschkowMichael ZehetleitnerAnke HuckaufTorsten SchubertNina M. Hanning
- Topics
- Neural and Behavioral Psychology Studies (9 papers)Visual perception and processing mechanisms (6 papers)Visual and Cognitive Learning Processes (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Experimental Psychology Learning Memory and CognitionCortex
- Partner nations
- GermanyUnited KingdomCzechia
In The Last Decade
Marian Sauter
18 papers receiving 339 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 238
- Experimental and Cognitive Psychology 86
- Sociology and Political Science 41
- Social Psychology 40
- Developmental and Educational Psychology 30
Countries citing papers authored by Marian Sauter
This map shows the geographic impact of Marian Sauter'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 Marian Sauter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marian Sauter more than expected).
Fields of papers citing papers by Marian Sauter
This network shows the impact of papers produced by Marian Sauter. 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 Marian Sauter. The network helps show where Marian Sauter may publish in the future.
Co-authorship network of co-authors of Marian Sauter
This figure shows the co-authorship network connecting the top 25 collaborators of Marian Sauter. A scholar is included among the top collaborators of Marian Sauter 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 Marian Sauter. Marian Sauter 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 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 3 | |
| 12 | 36 | |
| 13 | 9 | |
| 14 | 18 | |
| 15 | 89 | |
| 16 | 42 | |
| 17 | 62 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 26 |
About Marian Sauter
Marian Sauter is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (9 papers), Visual perception and processing mechanisms (6 papers) and Visual and Cognitive Learning Processes (5 papers). The work is most often cited by research in Cognitive Neuroscience (238 citations), Experimental and Cognitive Psychology (86 citations) and Applied Psychology (22 citations). Marian Sauter has collaborated with scholars based in Germany, United Kingdom and Czechia. Frequent co-authors include Wolfgang Mack, Heinrich R. Liesefeld, Hermann J. Müller, Dejan Draschkow, Michael Zehetleitner, Anke Huckauf, Torsten Schubert, Nina M. Hanning, Alexander Soutschek and Tina Braun. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Experimental Psychology Learning Memory and Cognition and Cortex.
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.