Leyla Işık
- Cognitive Neuroscience top 2%
- Molecular Biology
- Social Psychology top 5%
- Cancer Research top 10%
- Genetics
- Co-authors
- Nancy KanwisherTomaso PoggioJoel Z. LeiboEthan M. MeyersKami KoldewynDavid BeelerVictor E. VelculescuBert Vogelstein
- Topics
- Face Recognition and Perception (23 papers)Neural dynamics and brain function (18 papers)Action Observation and Synchronization (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Leyla Işık
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 672
- Molecular Biology 247
- Social Psychology 220
- Cancer Research 180
- Genetics 129
Countries citing papers authored by Leyla Işık
This map shows the geographic impact of Leyla Işık'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 Leyla Işık with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leyla Işık more than expected).
Fields of papers citing papers by Leyla Işık
This network shows the impact of papers produced by Leyla Işık. 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 Leyla Işık. The network helps show where Leyla Işık may publish in the future.
Co-authorship network of co-authors of Leyla Işık
This figure shows the co-authorship network connecting the top 25 collaborators of Leyla Işık. A scholar is included among the top collaborators of Leyla Işık 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 Leyla Işık. Leyla Işık is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 40 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 37 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | 176 | |
| 16 | Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision | 9 |
| 17 | 9 | |
| 18 | Spatio-temporal convolutional neural networks explain human neural representations of action recognition | 4 |
| 19 | 21 | |
| 20 | 321 |
About Leyla Işık
Leyla Işık is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face Recognition and Perception (23 papers), Neural dynamics and brain function (18 papers) and Action Observation and Synchronization (12 papers). The work is most often cited by research in Cognitive Neuroscience (672 citations), Cancer Research (180 citations) and Social Psychology (220 citations). Leyla Işık has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Nancy Kanwisher, Tomaso Poggio, Joel Z. Leibo, Ethan M. Meyers, Kami Koldewyn, David Beeler, Victor E. Velculescu, Bert Vogelstein, Svitlana Tyekucheva and Hannah Carter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.