Elisabeth Hein
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Computer Vision and Pattern Recognition
- Sensory Systems
- Co-authors
- Cathleen M. MooreBettina RolkeRolf UlrichTeresa M. StephensP. CavanaghYaffa YeshurunStefan BlaschkeAlexander C. Schütz
- Topics
- Visual perception and processing mechanisms (22 papers)Neural and Behavioral Psychology Studies (14 papers)Neural dynamics and brain function (9 papers)
- Journals
- Experimental Brain ResearchJournal of Experimental Psychology Human Perception & PerformancePsychonomic Bulletin & Review
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Elisabeth Hein
24 papers receiving 305 citations
Peers
Comparison fields: 5 of 28
- Cognitive Neuroscience 306
- Experimental and Cognitive Psychology 87
- Social Psychology 53
- Computer Vision and Pattern Recognition 26
- Sensory Systems 19
Countries citing papers authored by Elisabeth Hein
This map shows the geographic impact of Elisabeth Hein'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 Elisabeth Hein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Hein more than expected).
Fields of papers citing papers by Elisabeth Hein
This network shows the impact of papers produced by Elisabeth Hein. 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 Elisabeth Hein. The network helps show where Elisabeth Hein may publish in the future.
Co-authorship network of co-authors of Elisabeth Hein
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Hein. A scholar is included among the top collaborators of Elisabeth Hein 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 Elisabeth Hein. Elisabeth Hein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 13 | |
| 9 | 36 | |
| 10 | 24 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 23 |
About Elisabeth Hein
Elisabeth Hein is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems, having authored 25 papers that have together received 320 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (22 papers), Neural and Behavioral Psychology Studies (14 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cognitive Neuroscience (306 citations), Experimental and Cognitive Psychology (87 citations) and Sensory Systems (19 citations). Elisabeth Hein has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Cathleen M. Moore, Bettina Rolke, Rolf Ulrich, Teresa M. Stephens, P. Cavanagh, Yaffa Yeshurun, Stefan Blaschke, Alexander C. Schütz, Andrew Hollingworth and Gerhard Rinkenauer. Their work appears in journals such as Experimental Brain Research, Journal of Experimental Psychology Human Perception & Performance and Psychonomic Bulletin & Review.
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.