Radu Berdan

1.2k total citations
23 papers, 932 citations indexed

About

Radu Berdan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Radu Berdan has authored 23 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 17 papers in Cellular and Molecular Neuroscience and 7 papers in Cognitive Neuroscience. Recurrent topics in Radu Berdan's work include Advanced Memory and Neural Computing (22 papers), Neuroscience and Neural Engineering (15 papers) and Ferroelectric and Negative Capacitance Devices (14 papers). Radu Berdan is often cited by papers focused on Advanced Memory and Neural Computing (22 papers), Neuroscience and Neural Engineering (15 papers) and Ferroelectric and Negative Capacitance Devices (14 papers). Radu Berdan collaborates with scholars based in United Kingdom, Japan and China. Radu Berdan's co-authors include Themis Prodromakis, Ali Khiat, Alexander Serb, Robert Legenstein, Johannes Bill, Christos Papavassiliou, Jun Deguchi, Takao Marukame, Shosuke Fujii and Yoshifumi Nishi and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Scientific Reports.

In The Last Decade

Radu Berdan

22 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radu Berdan United Kingdom 13 900 419 207 123 106 23 932
Jinsong Wei China 12 711 0.8× 364 0.9× 241 1.2× 68 0.6× 72 0.7× 24 761
Dana Wheeler United States 4 730 0.8× 372 0.9× 138 0.7× 76 0.6× 90 0.8× 9 751
Eduardo Pérez Germany 21 1.2k 1.3× 410 1.0× 112 0.5× 118 1.0× 129 1.2× 98 1.3k
Jose Cruz-Albrecht United States 8 1.0k 1.1× 518 1.2× 310 1.5× 77 0.6× 93 0.9× 10 1.1k
Erika Covi Italy 18 930 1.0× 467 1.1× 288 1.4× 89 0.7× 102 1.0× 40 982
Ligang Gao United States 16 1.1k 1.2× 420 1.0× 133 0.6× 121 1.0× 162 1.5× 33 1.1k
Daniel Belkin United States 5 1.3k 1.5× 552 1.3× 287 1.4× 84 0.7× 119 1.1× 8 1.4k
Jiaming Zhang China 6 1.2k 1.4× 518 1.2× 199 1.0× 102 0.8× 133 1.3× 23 1.3k
Qingxi Duan China 9 691 0.8× 324 0.8× 212 1.0× 53 0.4× 142 1.3× 17 737
F. Merrikh Bayat United States 13 1.2k 1.3× 535 1.3× 235 1.1× 53 0.4× 79 0.7× 17 1.2k

Countries citing papers authored by Radu Berdan

Since Specialization
Citations

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

Fields of papers citing papers by Radu Berdan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radu Berdan

This figure shows the co-authorship network connecting the top 25 collaborators of Radu Berdan. A scholar is included among the top collaborators of Radu Berdan 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 Radu Berdan. Radu Berdan 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.
2.
Berdan, Radu, Takao Marukame, Kensuke Ota, et al.. (2020). Low-power linear computation using nonlinear ferroelectric tunnel junction memristors. Nature Electronics. 3(5). 259–266. 183 indexed citations
3.
Berdan, Radu, Takao Marukame, Kensuke Ota, et al.. (2019). In-memory Reinforcement Learning with Moderately-Stochastic Conductance Switching of Ferroelectric Tunnel Junctions. T22–T23. 30 indexed citations
4.
Marukame, Takao, Junichi Sugino, Kazuo Ishikawa, et al.. (2019). Nonlinear Operation of Static-Binary Neuron Circuits and Dynamic Memristive Devices for STDP Learning. 1–5. 2 indexed citations
5.
Ota, K., M. Yamaguchi, Radu Berdan, et al.. (2019). Performance Maximization of In-Memory Reinforcement Learning with Variability-Controlled Hf1-xZrxO2 Ferroelectric Tunnel Junctions. 6.2.1–6.2.4. 23 indexed citations
6.
Serb, Alexander, Johannes Bill, Ali Khiat, et al.. (2016). Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses. Nature Communications. 7(1). 12611–12611. 264 indexed citations
7.
Berdan, Radu, Eleni Vasilaki, Ali Khiat, et al.. (2016). Emulating short-term synaptic dynamics with memristive devices. Scientific Reports. 6(1). 18639–18639. 109 indexed citations
8.
Serb, Alexander, et al.. (2016). An FPGA-Based Instrument for En-Masse RRAM Characterization With ns Pulsing Resolution. IEEE Transactions on Circuits and Systems I Regular Papers. 63(6). 818–826. 13 indexed citations
9.
Berdan, Radu, Alexander Serb, Ali Khiat, Christos Papavassiliou, & Themis Prodromakis. (2016). Live demonstration: Characterization of RRAM crossbar arrays at a click of a button. Spiral (Imperial College London). 1443–1443. 1 indexed citations
10.
Gupta, Isha, Alexander Serb, Radu Berdan, Ali Khiat, & Themis Prodromakis. (2016). Volatility Characterization for RRAM Devices. IEEE Electron Device Letters. 38(1). 28–31. 6 indexed citations
11.
Gupta, Isha, Alexander Serb, Radu Berdan, et al.. (2015). A Cell Classifier for RRAM Process Development. IEEE Transactions on Circuits & Systems II Express Briefs. 62(7). 676–680. 17 indexed citations
12.
Berdan, Radu, Alexander Serb, Ali Khiat, et al.. (2015). A <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays. IEEE Transactions on Electron Devices. 62(7). 2190–2196. 71 indexed citations
13.
Berdan, Radu, et al.. (2014). A Memristor SPICE Model Accounting for Volatile Characteristics of Practical ReRAM. IEEE Electron Device Letters. 35(1). 135–137. 50 indexed citations
14.
Salaoru, Iulia, Ali Khiat, Qingjiang Li, et al.. (2014). Origin of the OFF state variability in ReRAM cells. Journal of Physics D Applied Physics. 47(14). 145102–145102. 29 indexed citations
15.
Serb, Alexander, Radu Berdan, Abderrahmane Khiat, et al.. (2014). Memristors as synapse emulators in the context of event-based computation. 18. 2085–2088. 2 indexed citations
16.
Serb, Alexander, Radu Berdan, Ali Khiat, Christos Papavassiliou, & Themis Prodromakis. (2014). Live demonstration: A versatile, low-cost platform for testing large ReRAM cross-bar arrays. ePrints Soton (University of Southampton). 441–441. 11 indexed citations
17.
Berdan, Radu, Themis Prodromakis, Abderrahmane Khiat, et al.. (2013). Temporal processing with volatile memristors. 425–428. 5 indexed citations
18.
Salaoru, Iulia, Ali Khiat, Qingjiang Li, Radu Berdan, & Themis Prodromakis. (2013). Pulse-induced resistive and capacitive switching in TiO2 thin film devices. Applied Physics Letters. 103(23). 37 indexed citations
19.
Berdan, Radu, Themis Prodromakis, & C. Toumazou. (2012). High precision analogue memristor state tuning. Electronics Letters. 48(18). 1105–1107. 41 indexed citations
20.
Berdan, Radu, Themis Prodromakis, Iulia Salaoru, Abderrahmane Khiat, & C. Toumazou. (2012). Memristive devices as parameter setting elements in programmable gain amplifiers. Applied Physics Letters. 101(24). 23 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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