İpek Oruç
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Jason J.S. BartonMichael S. LandyLaurence T. MaloneyChristopher J. FoxBenjamin T. BackusTodd C. HandyKirsten A. DalrympleRaika Pancaroglu
- Topics
- Face Recognition and Perception (34 papers)Visual perception and processing mechanisms (20 papers)Evolutionary Psychology and Human Behavior (16 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- CanadaUnited StatesAustria
In The Last Decade
İpek Oruç
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 909
- Experimental and Cognitive Psychology 424
- Computer Vision and Pattern Recognition 215
- Social Psychology 93
- Atomic and Molecular Physics, and Optics 64
Countries citing papers authored by İpek Oruç
This map shows the geographic impact of İpek Oruç'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 İpek Oruç with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İpek Oruç more than expected).
Fields of papers citing papers by İpek Oruç
This network shows the impact of papers produced by İpek Oruç. 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 İpek Oruç. The network helps show where İpek Oruç may publish in the future.
Co-authorship network of co-authors of İpek Oruç
This figure shows the co-authorship network connecting the top 25 collaborators of İpek Oruç. A scholar is included among the top collaborators of İpek Oruç 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 İpek Oruç. İpek Oruç is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 22 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 28 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 3 | |
| 15 | 27 | |
| 16 | 17 | |
| 17 | 18 | |
| 18 | 18 | |
| 19 | 16 | |
| 20 | 66 |
About İpek Oruç
İpek Oruç is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Health Informatics, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Face Recognition and Perception (34 papers), Visual perception and processing mechanisms (20 papers) and Evolutionary Psychology and Human Behavior (16 papers). The work is most often cited by research in Cognitive Neuroscience (909 citations), Experimental and Cognitive Psychology (424 citations) and Computer Vision and Pattern Recognition (215 citations). İpek Oruç has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include Jason J.S. Barton, Michael S. Landy, Laurence T. Maloney, Christopher J. Fox, Benjamin T. Backus, Todd C. Handy, Kirsten A. Dalrymple, Raika Pancaroglu, Brad Duchaine and Giuseppe Iaria. Their work appears in journals such as PLoS ONE, Current Biology and Brain Research.
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.