Murat Onen

862 total citations
11 papers, 449 citations indexed

About

Murat Onen is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Murat Onen has authored 11 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Polymers and Plastics. Recurrent topics in Murat Onen's work include Advanced Memory and Neural Computing (7 papers), Semiconductor materials and devices (5 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Murat Onen is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Semiconductor materials and devices (5 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Murat Onen collaborates with scholars based in United States, Russia and United Kingdom. Murat Onen's co-authors include Jesús A. del Alamo, Bilge Yildiz, Ju Li, Nicolas Émond, Baoming Wang, Difei Zhang, Frances M. Ross, Xiahui Yao, Iradwikanari Waluyo and Adrian Hunt and has published in prestigious journals such as Science, Advanced Materials and Nature Communications.

In The Last Decade

Murat Onen

11 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Murat Onen United States	8	384	127	115	78	68	11	449
Xichen Chuai China	12	467 1.2×	88 0.7×	137 1.2×	65 0.8×	166 2.4×	30	528
Minseong Park United States	12	368 1.0×	44 0.3×	75 0.7×	79 1.0×	212 3.1×	29	575
Fangsheng Qian China	11	446 1.2×	93 0.7×	197 1.7×	51 0.7×	177 2.6×	26	535
Congyan Lu China	18	841 2.2×	162 1.3×	151 1.3×	72 0.9×	302 4.4×	63	927
Sebastián Pazos Argentina	12	481 1.3×	60 0.5×	101 0.9×	28 0.4×	169 2.5×	63	576
Carsten Funck Germany	12	484 1.3×	135 1.1×	162 1.4×	28 0.4×	116 1.7×	22	508
Run Chen China	14	491 1.3×	64 0.5×	96 0.8×	51 0.7×	88 1.3×	45	573
Songman Ju China	11	528 1.4×	120 0.9×	112 1.0×	47 0.6×	371 5.5×	16	674
Quentin Rafhay France	15	657 1.7×	43 0.3×	117 1.0×	39 0.5×	119 1.8×	61	700
Ko‐Tao Lee Taiwan	10	278 0.7×	60 0.5×	77 0.7×	38 0.5×	58 0.9×	15	328

Countries citing papers authored by Murat Onen

Since Specialization

Citations

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

Fields of papers citing papers by Murat Onen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murat Onen

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

All Works

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11 of 11 papers shown

1.

Dane, Andrew E., Jason P. Allmaras, Di Zhu, et al.. (2022). Self-heating hotspots in superconducting nanowires cooled by phonon black-body radiation. Nature Communications. 13(1). 5429–5429. 20 indexed citations

2.

Onen, Murat, Nicolas Émond, Baoming Wang, et al.. (2022). Nanosecond protonic programmable resistors for analog deep learning. Science. 377(6605). 539–543. 93 indexed citations

3.

Onen, Murat, Tayfun Gokmen, Teodor K. Todorov, et al.. (2022). Neural Network Training With Asymmetric Crosspoint Elements. Frontiers in Artificial Intelligence. 5. 891624–891624. 17 indexed citations

4.

Huang, Mantao, et al.. (2022). Electrochemical Ionic Synapses: Progress and Perspectives. Advanced Materials. 35(37). e2205169–e2205169. 59 indexed citations

5.

Onen, Murat, et al.. (2022). Dynamics of PSG-Based Nanosecond Protonic Programmable Resistors for Analog Deep Learning. 2022 International Electron Devices Meeting (IEDM). 2.6.1–2.6.4. 5 indexed citations

6.

Onen, Murat, Nicolas Émond, Ju Li, Bilge Yildiz, & Jesús A. del Alamo. (2021). CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning. Nano Letters. 21(14). 6111–6116. 41 indexed citations

7.

Baghdadi, Reza, et al.. (2020). A scalable superconducting nanowire memory cell and preliminary array test. Superconductor Science and Technology. 34(3). 35003–35003. 12 indexed citations

8.

Yao, Xiahui, Konstantin Klyukin, Wenjie Lu, et al.. (2020). Protonic solid-state electrochemical synapse for physical neural networks. Nature Communications. 11(1). 3134–3134. 125 indexed citations

9.

Kim, Seyoung, Teodor K. Todorov, Murat Onen, et al.. (2019). Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator. 35.7.1–35.7.4. 69 indexed citations

10.

Onen, Murat, et al.. (2019). Single-Photon Single-Flux Coupled Detectors. Nano Letters. 20(1). 664–668. 5 indexed citations

11.

Onen, Murat, et al.. (2019). Calculating the band structure of 3C-SiC using sp3d5s* + ∆ model. Journal of theoretical and applied physics. 13(1). 1–6. 3 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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