Uğur Teğin

573 total citations
21 papers, 353 citations indexed

About

Uğur Teğin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Uğur Teğin has authored 21 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Uğur Teğin's work include Neural Networks and Reservoir Computing (10 papers), Optical Network Technologies (9 papers) and Optical Coherence Tomography Applications (7 papers). Uğur Teğin is often cited by papers focused on Neural Networks and Reservoir Computing (10 papers), Optical Network Technologies (9 papers) and Optical Coherence Tomography Applications (7 papers). Uğur Teğin collaborates with scholars based in Switzerland, Türkiye and United States. Uğur Teğin's co-authors include Christophe Moser, Demetri Psaltis, Babak Rahmani, Eirini Kakkava, Navid Borhani, Damien Loterie, Bülend Ortaç, Lihong V. Wang, Carlo Gigli and Mustafa Yıldırım and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Letters and Optics Express.

In The Last Decade

Uğur Teğin

18 papers receiving 323 citations

Peers

Uğur Teğin

EEE

AMPO

Mickaël Mounaix Australia

Peilong Hong China

Reza Nasiri Mahalati United States

Tianyi Gan United States

Juncheng Fang China

I. N. Agafonov Russia

Wenjie Xiong China

Michał Jachura Poland

Ryan T. Glasser United States

Mickaël Mounaix Australia

Uğur Teğin

109 ×0.5

EEE

146 ×0.8

AMPO

175 ×1.8

91 ×1.1

51 ×0.8

Citations per year, relative to Uğur Teğin Uğur Teğin (= 1×) peers Mickaël Mounaix

Countries citing papers authored by Uğur Teğin

Since Specialization

Citations

This map shows the geographic impact of Uğur Teğin'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 Uğur Teğin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uğur Teğin more than expected).

Fields of papers citing papers by Uğur Teğin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uğur Teğin. 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 Uğur Teğin. The network helps show where Uğur Teğin may publish in the future.

Co-authorship network of co-authors of Uğur Teğin

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

All Works

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20 of 20 papers shown

Teğin, Uğur, et al.. (2025). Optical computing with supercontinuum generation in photonic crystal fibers. Optics Express. 33(4). 7852–7852. 5 indexed citations

Teğin, Uğur, et al.. (2025). Genetically programmable optical random neural networks. Communications Physics. 8(1).

Teğin, Uğur, et al.. (2025). Fiber-based diffractive deep neural network. Optics Letters. 50(17). 5254–5254.

Teğin, Uğur, et al.. (2025). Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers. Nanophotonics. 14(16). 2723–2732. 4 indexed citations

Teğin, Uğur, et al.. (2024). Implementing the analogous neural network using chaotic strange attractors. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations

Teğin, Uğur, et al.. (2024). Programming nonlinear propagation for efficient optical learning machines. Advanced Photonics. 6(1). 20 indexed citations

Teğin, Uğur, et al.. (2023). Real-time observation of optical rogue waves in spatiotemporally mode-locked fiber lasers. Communications Physics. 6(1). 17 indexed citations

Rahmani, Babak, et al.. (2022). Learning to image and compute with multimode optical fibers. Nanophotonics. 11(6). 1071–1082. 29 indexed citations

Teğin, Uğur, et al.. (2021). Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network. Nature Machine Intelligence. 3(5). 387–391. 29 indexed citations

10.

Teğin, Uğur, et al.. (2021). Optical computing with multimode fiber nonlinearities. 13–13. 1 indexed citations

11.

Teğin, Uğur, et al.. (2021). Machine learning with multimode fibers. Conference on Lasers and Electro-Optics. 24. SW3R.3–SW3R.3. 4 indexed citations

12.

Teğin, Uğur, Eirini Kakkava, Babak Rahmani, Demetri Psaltis, & Christophe Moser. (2020). Dispersion-Managed Soliton Multimode Fiber Laser. Conference on Lasers and Electro-Optics. SM4P.1–SM4P.1. 8 indexed citations

13.

Kakkava, Eirini, Navid Borhani, Babak Rahmani, et al.. (2020). Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift. Applied Sciences. 10(11). 3816–3816. 17 indexed citations

14.

Rahmani, Babak, Damien Loterie, Eirini Kakkava, et al.. (2020). Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media. Nature Machine Intelligence. 2(7). 403–410. 58 indexed citations

15.

Teğin, Uğur, Babak Rahmani, Eirini Kakkava, Demetri Psaltis, & Christophe Moser. (2020). Single-mode output by controlling the spatiotemporal nonlinearities in mode-locked femtosecond multimode fiber lasers. Advanced Photonics. 2(5). 83 indexed citations

16.

Rahmani, Babak, Damien Loterie, Eirini Kakkava, et al.. (2020). Multimode fiber projection with machine learning. Imaging and Applied Optics Congress. HTu5B.3–HTu5B.3.

17.

Kakkava, Eirini, Babak Rahmani, Navid Borhani, et al.. (2019). Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern. Optical Fiber Technology. 52. 101985–101985. 44 indexed citations

18.

Kakkava, Eirini, et al.. (2019). Wavelength Independent Image Classification through a Multimode Fiber using Deep Neural Networks. 1–1. 3 indexed citations

19.

Teğin, Uğur & Bülend Ortaç. (2017). Spatiotemporal Instability of Femtosecond Pulses in Graded-Index Multimode Fibers. IEEE Photonics Technology Letters. 29(24). 2195–2198. 20 indexed citations

20.

Teğin, Uğur, et al.. (2015). Generation of dissipative solitons in normal-dispersion Raman fiber laser. Bilkent University Institutional Repository (Bilkent University). 1–2. 1 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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