Cengiz Pehlevan
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Developmental Biology top 2%
- Co-authors
- Dmitri B. ChklovskiiBence P. ÖlveczkyTimothy M. OtchySharon M. H. GobesJuliana Y. RheeAlexandre KempfSteffen B. E. WolffG. S. Guralnik
- Topics
- Neural dynamics and brain function (19 papers)Neural Networks and Applications (16 papers)Advanced Memory and Neural Computing (9 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Cengiz Pehlevan
45 papers receiving 729 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 382
- Cellular and Molecular Neuroscience 289
- Artificial Intelligence 139
- Ecology, Evolution, Behavior and Systematics 134
- Developmental Biology 103
Countries citing papers authored by Cengiz Pehlevan
This map shows the geographic impact of Cengiz Pehlevan'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 Cengiz Pehlevan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cengiz Pehlevan more than expected).
Fields of papers citing papers by Cengiz Pehlevan
This network shows the impact of papers produced by Cengiz Pehlevan. 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 Cengiz Pehlevan. The network helps show where Cengiz Pehlevan may publish in the future.
Co-authorship network of co-authors of Cengiz Pehlevan
This figure shows the co-authorship network connecting the top 25 collaborators of Cengiz Pehlevan. A scholar is included among the top collaborators of Cengiz Pehlevan 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 Cengiz Pehlevan. Cengiz Pehlevan 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 47 | |
| 12 | Statistical Mechanics of Generalization in Kernel Regression. | 2 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 11 | |
| 16 | A normative theory of adaptive dimensionality reduction in neural networks | 7 |
| 17 | 243 | |
| 18 | 12 | |
| 19 | 35 | |
| 20 | 90 |
About Cengiz Pehlevan
Cengiz Pehlevan is a scholar working on Developmental Biology, Aging and Cognitive Neuroscience, having authored 48 papers that have together received 741 indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Neural Networks and Applications (16 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Developmental Biology (103 citations), Cognitive Neuroscience (382 citations) and Cellular and Molecular Neuroscience (289 citations). Cengiz Pehlevan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dmitri B. Chklovskii, Bence P. Ölveczky, Timothy M. Otchy, Sharon M. H. Gobes, Juliana Y. Rhee, Alexandre Kempf, Steffen B. E. Wolff, G. S. Guralnik, Farhan Ali and Haim Sompolinsky. Their work appears in journals such as Nature, 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.