Yaniv Morgenstern
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Social Psychology
- Experimental and Cognitive Psychology
- Co-authors
- Richard MurrayLaurence R. HarrisDale PurvesWilson S. GeislerRoland W. FlemingFilipp SchmidtJames H. ElderWilliam T. Wojtach
- Topics
- Visual perception and processing mechanisms (20 papers)Neural dynamics and brain function (7 papers)Color Science and Applications (6 papers)
- Cited by
- Cognitive NeuroscienceComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Yaniv Morgenstern
27 papers receiving 284 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 218
- Computer Vision and Pattern Recognition 72
- Atomic and Molecular Physics, and Optics 61
- Social Psychology 59
- Experimental and Cognitive Psychology 42
Countries citing papers authored by Yaniv Morgenstern
This map shows the geographic impact of Yaniv Morgenstern'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 Yaniv Morgenstern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaniv Morgenstern more than expected).
Fields of papers citing papers by Yaniv Morgenstern
This network shows the impact of papers produced by Yaniv Morgenstern. 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 Yaniv Morgenstern. The network helps show where Yaniv Morgenstern may publish in the future.
Co-authorship network of co-authors of Yaniv Morgenstern
This figure shows the co-authorship network connecting the top 25 collaborators of Yaniv Morgenstern. A scholar is included among the top collaborators of Yaniv Morgenstern 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 Yaniv Morgenstern. Yaniv Morgenstern 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 | 12 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 29 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 42 | |
| 16 | 1 | |
| 17 | 11 | |
| 18 | 51 | |
| 19 | 3 | |
| 20 | 25 |
About Yaniv Morgenstern
Yaniv Morgenstern is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 29 papers that have together received 290 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (20 papers), Neural dynamics and brain function (7 papers) and Color Science and Applications (6 papers). The work is most often cited by research in Cognitive Neuroscience (218 citations), Computer Graphics and Computer-Aided Design (13 citations) and Computer Vision and Pattern Recognition (72 citations). Yaniv Morgenstern has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Richard Murray, Laurence R. Harris, Dale Purves, Wilson S. Geisler, Roland W. Fleming, Filipp Schmidt, James H. Elder, William T. Wojtach, Arash Akbarinia and Karl R. Gegenfurtner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.