Yaara Yeshurun
- Sensory Systems top 0.5%
- Olfactory and Sensory Function Studies 5
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 10
- Functional Brain Connectivity Studies 7
- Memory and Neural Mechanisms 6
- Social Psychology top 5%
- Action Observation and Synchronization 9
- Behavioral Neuroscience top 10%
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- Neural Networks and Applications 5
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- Face and Expression Recognition 4
- Image Retrieval and Classification Techniques 4
Yaara Yeshurun
49 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Sensory Systems 478
- Cognitive Neuroscience 1.4k
- Experimental and Cognitive Psychology 509
- Social Psychology 371
- Behavioral Neuroscience 62
Countries citing papers authored by Yaara Yeshurun
This map shows the geographic impact of Yaara Yeshurun'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 Yaara Yeshurun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaara Yeshurun more than expected).
Fields of papers citing papers by Yaara Yeshurun
This network shows the impact of papers produced by Yaara Yeshurun. 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 Yaara Yeshurun. The network helps show where Yaara Yeshurun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaara Yeshurun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 13 | |
| 6 | 2022 | 26 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 27 | |
| 9 | 2021 | 17 | |
| 10 | The default mode network: where the idiosyncratic self meets the shared social worldbreakdown → | 2021 | 370 |
| 11 | 2021 | 7 | |
| 12 | 2017 | 60 | |
| 13 | Dynamic reconfiguration of the default mode network during narrative comprehensionbreakdown → | 2016 | 375 |
| 14 | A reduced-dimension fMRI shared response model | 2015 | 74 |
| 15 | 2011 | 145 | |
| 16 | 2008 | 21 | |
| 17 | 2007 | 55 | |
| 18 | 2007 | 37 | |
| 19 | 2006 | 53 | |
| 20 | 1993 | 34 |
About Yaara Yeshurun
Yaara Yeshurun is a scholar working on Cognitive Neuroscience, Sensory Systems and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Action Observation and Synchronization (9 papers), Functional Brain Connectivity Studies (7 papers), Memory and Neural Mechanisms (6 papers), Neural Networks and Applications (5 papers), Olfactory and Sensory Function Studies (5 papers), Face and Expression Recognition (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Sensory Systems (478 citations), Cognitive Neuroscience (1.4k citations) and Experimental and Cognitive Psychology (509 citations). Yaara Yeshurun has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Uri Hasson, Noam Sobel, Mai Nguyen, Janice Chen, Erez Simony, Christopher J. Honey, D. Reisfeld, Nira Dyn, Ami Wiesel and Olga Lositsky. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.