Nihat Ay

2.8k total citations
77 papers, 1.3k citations indexed

About

Nihat Ay is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Nihat Ay has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 24 papers in Cognitive Neuroscience and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Nihat Ay's work include Neural dynamics and brain function (22 papers), Neural Networks and Applications (16 papers) and Statistical Mechanics and Entropy (11 papers). Nihat Ay is often cited by papers focused on Neural dynamics and brain function (22 papers), Neural Networks and Applications (16 papers) and Statistical Mechanics and Entropy (11 papers). Nihat Ay collaborates with scholars based in Germany, United States and United Kingdom. Nihat Ay's co-authors include Jürgen Jost, Eckehard Olbrich, Daniel Polani, Nils Bertschinger, Ralf Der, Guido Montúfar, Johannes Rauh, Thomas Wennekers, David C. Krakauer and Hông Vân Lê and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Nihat Ay

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nihat Ay Germany 18 462 448 379 173 152 77 1.3k
Eckehard Olbrich Germany 18 233 0.5× 567 1.3× 424 1.1× 72 0.4× 108 0.7× 60 1.3k
Keith Bush United States 14 298 0.6× 346 0.8× 127 0.3× 255 1.5× 79 0.5× 42 1.7k
Bernard Derrida France 18 378 0.8× 166 0.4× 500 1.3× 154 0.9× 211 1.4× 23 1.7k
Daniel Polani United Kingdom 19 584 1.3× 486 1.1× 163 0.4× 143 0.8× 135 0.9× 116 1.4k
Elena Agliari Italy 21 307 0.7× 139 0.3× 602 1.6× 96 0.6× 334 2.2× 76 1.3k
Nils Bertschinger Germany 10 491 1.1× 565 1.3× 230 0.6× 63 0.4× 94 0.6× 26 1.1k
David P. Feldman United States 11 219 0.5× 161 0.4× 327 0.9× 170 1.0× 133 0.9× 16 870
Regino Criado Spain 18 204 0.4× 131 0.3× 838 2.2× 149 0.9× 137 0.9× 89 1.4k
Valentin Afraimovich Mexico 24 187 0.4× 693 1.5× 1.4k 3.6× 129 0.7× 159 1.0× 91 2.3k
Héctor Zenil Sweden 19 343 0.7× 158 0.4× 127 0.3× 378 2.2× 166 1.1× 77 971

Countries citing papers authored by Nihat Ay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nihat Ay

This figure shows the co-authorship network connecting the top 25 collaborators of Nihat Ay. A scholar is included among the top collaborators of Nihat Ay 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 Nihat Ay. Nihat Ay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wienke, Andreas, et al.. (2025). Efficient optical coating design using an autoencoder-based neural network model. Journal of Physics Photonics. 8(1). 15007–15007.
2.
Wienke, Andreas, et al.. (2024). Neural Network Method for Dielectric Optical Coating Design. SHILAP Revista de lepidopterología. 307. 4057–4057. 1 indexed citations
3.
Ay, Nihat, et al.. (2021). How Morphological Computation shapes Integrated Information in Embodied Agents. arXiv (Cornell University). 2 indexed citations
4.
Ay, Nihat. (2020). On the locality of the natural gradient for learning in deep Bayesian networks. 6(1). 1–49. 2 indexed citations
5.
Ay, Nihat. (2020). Ingredients for robustness. Theory in Biosciences. 139(4). 309–318. 2 indexed citations
6.
Mancini, Stefano, et al.. (2019). Canonical divergence for measuring classical and quantum complexity. tub.dok (Hamburg University of Technology). 5 indexed citations
7.
Haeufle, Daniel F. B., et al.. (2016). Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. eScholarship (California Digital Library). 14 indexed citations
8.
Ay, Nihat. (2015). Information Geometry on Complexity and Stochastic Interaction. Entropy. 17(4). 2432–2458. 42 indexed citations
9.
Montúfar, Guido, et al.. (2014). Expressive Power of Conditional Restricted Boltzmann Machines. arXiv (Cornell University). 3 indexed citations
10.
Lohmann, Gabriele, Johannes Stelzer, Jane Neumann, Nihat Ay, & Robert Turner. (2013). “More Is Different” in Functional Magnetic Resonance Imaging: A Review of Recent Data Analysis Techniques. Brain Connectivity. 3(3). 223–239. 16 indexed citations
11.
Martius, Georg, Ralf Der, & Nihat Ay. (2013). Information Driven Self-Organization of Complex Robotic Behaviors. PLoS ONE. 8(5). e63400–e63400. 34 indexed citations
12.
Ay, Nihat. (2008). A refinement of the common cause principle. Discrete Applied Mathematics. 157(10). 2439–2457. 11 indexed citations
13.
Der, Ralf & Nihat Ay. (2008). Predictive information and emergent cooperativity in a chain of mobile robots. Artificial Life. 166–172. 9 indexed citations
14.
Kahle, Thomas, Walter Wenzel, & Nihat Ay. (2008). Hierarchical Models, Marginal Polytopes, and Linear Codes. Kybernetika. 45(2). 189–207. 3 indexed citations
15.
Olbrich, Eckehard, Nils Bertschinger, Nihat Ay, & Jürgen Jost. (2008). How should complexity scale with system size?. The European Physical Journal B. 63(3). 407–415. 16 indexed citations
16.
Ay, Nihat, Jessica C. Flack, & David C. Krakauer. (2007). Robustness and complexity co-constructed in multimodal signalling networks. Philosophical Transactions of the Royal Society B Biological Sciences. 362(1479). 441–447. 55 indexed citations
17.
Wennekers, Thomas & Nihat Ay. (2006). A temporal learning rule in recurrent systems supports high spatio-temporal stochastic interactions. Neurocomputing. 69(10-12). 1199–1202. 1 indexed citations
18.
Kahle, Thomas & Nihat Ay. (2006). Support sets of distributions with given interaction structure. Max Planck Institute for Plasma Physics. 2 indexed citations
19.
Jost, Jürgen, Nils Bertschinger, Eckehard Olbrich, Nihat Ay, & Sidney Frankel. (2006). An information theoretic approach to system differentiation on the basis of statistical dependencies between subsystems. Physica A Statistical Mechanics and its Applications. 378(1). 1–10. 3 indexed citations
20.
Ay, Nihat, et al.. (2003). Duality versus dual flatness in quantum information geometry. Journal of Mathematical Physics. 44(4). 1512–1518. 5 indexed citations

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.

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