Nihat Ay
Impact in
-
- Statistical Mechanics and Entropy
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Embodied and Extended Cognition
- Functional Brain Connectivity Studies
Papers in
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- Neural Networks and Applications 20
- Evolutionary Algorithms and Applications 6
- Bayesian Modeling and Causal Inference 6
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- Neural dynamics and brain function 24
- Co-authors
- Jürgen Jost (15 shared papers)Daniel Polani (4 shared papers)Eckehard Olbrich (11 shared papers)Nils Bertschinger (10 shared papers)Ralf Der (5 shared papers)Guido Montúfar (10 shared papers)Johannes Rauh (8 shared papers)Hông Vân Lê (5 shared papers)
- Journals
- Theory in Biosciences (6 papers)Neurocomputing (4 papers)Advances in Complex Systems (3 papers)Neural Computation (3 papers)Kybernetika (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Nihat Ay
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Statistical and Nonlinear Physics 453
- Cognitive Neuroscience 540
- Artificial Intelligence 577
- Computational Theory and Mathematics 239
- Developmental Biology 27
Countries citing papers authored by Nihat Ay
This map shows the geographic impact of Nihat Ay'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 Nihat Ay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihat Ay more than expected).
Fields of papers citing papers by Nihat Ay
This network shows the impact of papers produced by Nihat Ay. 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 Nihat Ay. The network helps show where Nihat Ay may publish in the future.
Co-authors
The 25 scholars most cited alongside Nihat Ay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 184 | |
| 2 | 2017 | 156 | |
| 3 | 2014 | 150 | |
| 4 | 2008 | 115 | |
| 5 | 2007 | 73 | |
| 6 | 2007 | 62 | |
| 7 | 2011 | 60 | |
| 8 | 2015 | 46 | |
| 9 | 2013 | 45 | |
| 10 | 2011 | 39 | |
| 11 | 2011 | 32 | |
| 12 | 2006 | 31 | |
| 13 | 2015 | 30 | |
| 14 | 2003 | 30 | |
| 15 | 2011 | 24 | |
| 16 | 2002 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2009 | 20 | |
| 19 | 2005 | 20 | |
| 20 | 2015 | 19 |
About Nihat Ay
Nihat Ay is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Molecular Biology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), Neural Networks and Applications (20 papers), Statistical Mechanics and Entropy (14 papers), Gene Regulatory Network Analysis (9 papers), Computability, Logic, AI Algorithms (8 papers), Complex Systems and Time Series Analysis (7 papers), Evolutionary Algorithms and Applications (6 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (453 citations), Cognitive Neuroscience (540 citations), Artificial Intelligence (577 citations), Computational Theory and Mathematics (239 citations) and Developmental Biology (27 citations). Nihat Ay has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jürgen Jost, Daniel Polani, Eckehard Olbrich, Nils Bertschinger, Ralf Der, Guido Montúfar, Johannes Rauh, Hông Vân Lê, David C. Krakauer and Thomas Wennekers. Their work appears in journals such as Theory in Biosciences, Neurocomputing, Advances in Complex Systems, Neural Computation and Kybernetika.
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.