D. Maldonado

984 total citations
46 papers, 726 citations indexed

About

D. Maldonado is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, D. Maldonado has authored 46 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 21 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in D. Maldonado's work include Advanced Memory and Neural Computing (42 papers), Ferroelectric and Negative Capacitance Devices (31 papers) and Neuroscience and Neural Engineering (21 papers). D. Maldonado is often cited by papers focused on Advanced Memory and Neural Computing (42 papers), Ferroelectric and Negative Capacitance Devices (31 papers) and Neuroscience and Neural Engineering (21 papers). D. Maldonado collaborates with scholars based in Spain, Germany and Saudi Arabia. D. Maldonado's co-authors include J.B. Roldán, Francisco Alonso, F. Jiménez-Molinos, Ana M. Aguilera, Mario Lanza, Mireia Bargalló González, F. Campabadal, N. V. Agudov, M. N. Koryazhkina and A. A. Dubkov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

D. Maldonado

42 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Maldonado Spain 12 632 283 120 110 65 46 726
M. N. Koryazhkina Russia 12 503 0.8× 277 1.0× 183 1.5× 152 1.4× 36 0.6× 34 633
E.G. Gryaznov Russia 9 454 0.7× 273 1.0× 151 1.3× 78 0.7× 68 1.0× 13 525
Radu Berdan United Kingdom 13 900 1.4× 419 1.5× 207 1.7× 38 0.3× 106 1.6× 23 932
Dana Wheeler United States 4 730 1.2× 372 1.3× 138 1.1× 21 0.2× 90 1.4× 9 751
Mohamad Moner Al Chawa Spain 14 430 0.7× 251 0.9× 117 1.0× 31 0.3× 29 0.4× 41 455
Jinsong Wei China 12 711 1.1× 364 1.3× 241 2.0× 28 0.3× 72 1.1× 24 761
Yu. V. Pershin United States 9 507 0.8× 201 0.7× 113 0.9× 99 0.9× 54 0.8× 15 608
Myonglae Chu South Korea 10 612 1.0× 314 1.1× 161 1.3× 27 0.2× 49 0.8× 14 639
Runze Han China 14 595 0.9× 211 0.7× 55 0.5× 14 0.1× 54 0.8× 31 621

Countries citing papers authored by D. Maldonado

Since Specialization
Citations

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

Fields of papers citing papers by D. Maldonado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Maldonado

This figure shows the co-authorship network connecting the top 25 collaborators of D. Maldonado. A scholar is included among the top collaborators of D. Maldonado 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 D. Maldonado. D. Maldonado 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.
Maldonado, D., Christian Acal, H. D. Ortiz, et al.. (2025). A comprehensive statistical study of the post-programming conductance drift in HfO2-based memristive devices. Materials Science in Semiconductor Processing. 196. 109668–109668.
2.
Villena, Marco A., et al.. (2025). Variability analysis in memristors based on electrodeposited prussian blue. Microelectronic Engineering. 300. 112376–112376.
3.
Acal, Christian, D. Maldonado, Mireia Bargalló González, et al.. (2024). Variability in HfO2-based memristors described with a new bidimensional statistical technique. Nanoscale. 16(22). 10812–10818. 3 indexed citations
4.
Maldonado, D., et al.. (2024). Kinetic Monte Carlo simulation analysis of the conductance drift in Multilevel HfO2-based RRAM devices. Nanoscale. 16(40). 19021–19033. 3 indexed citations
5.
Maldonado, D., M. N. Koryazhkina, D. I. Tetelbaum, et al.. (2024). A statistical and modeling study on the effects of radiation on Au/Ta/ZrO2(Y)/Pt/Ti memristive devices. Chaos Solitons & Fractals. 191. 115909–115909. 2 indexed citations
6.
Roldán, J.B., Joaquı́n J. Torres, D. Maldonado, et al.. (2024). Stochastic resonance in 2D materials based memristors. npj 2D Materials and Applications. 8(1). 11 indexed citations
7.
Maldonado, D., et al.. (2024). Influence of stop and gate voltage on resistive switching of 1T1R HfO2-based memristors, a modeling and variability analysis. Materials Science in Semiconductor Processing. 182. 108726–108726.
8.
Maldonado, D., Eduardo Pérez, Rocío Romero‐Zaliz, et al.. (2023). TiN/Ti/HfO2/TiN memristive devices for neuromorphic computing: from synaptic plasticity to stochastic resonance. Frontiers in Neuroscience. 17. 1271956–1271956. 7 indexed citations
9.
Acal, Christian, D. Maldonado, Ana M. Aguilera, et al.. (2023). Holistic Variability Analysis in Resistive Switching Memories Using a Two-Dimensional Variability Coefficient. ACS Applied Materials & Interfaces. 15(15). 19102–19110. 9 indexed citations
10.
Maldonado, D., Francisco M. Gómez‐Campos, Yue Yuan, et al.. (2023). 3D simulation of conductive nanofilaments in multilayer h-BN memristors via a circuit breaker approach. Materials Horizons. 11(4). 949–957. 4 indexed citations
11.
Maldonado, D., Mireia Bargalló González, E. Moreno, et al.. (2023). Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories. Micromachines. 14(3). 630–630. 4 indexed citations
12.
13.
Maldonado, D., et al.. (2023). Application of random matrix theory combined with the singular value decomposition to journal bearings uncertainty analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(4). 5 indexed citations
14.
Maldonado, D., Samuel Aldana, Mireia Bargalló González, et al.. (2022). Parameter extraction techniques for the analysis and modeling of resistive memories. Microelectronic Engineering. 265. 111876–111876. 18 indexed citations
15.
Roldán, J.B., Rodrigo Picos, E. Miranda, et al.. (2021). On the Thermal Models for Resistive Random Access Memory Circuit Simulation. Nanomaterials. 11(5). 1261–1261. 45 indexed citations
16.
Mikhaylov, Alexey, Д. В. Гусейнов, A. I. Belov, et al.. (2021). Stochastic resonance in a metal-oxide memristive device. Chaos Solitons & Fractals. 144. 110723–110723. 118 indexed citations
17.
Ibáñez, M.J., D. Barrera, D. Maldonado, R. J. Yáñez, & J.B. Roldán. (2021). Non-Uniform Spline Quasi-Interpolation to Extract the Series Resistance in Resistive Switching Memristors for Compact Modeling Purposes. Mathematics. 9(17). 2159–2159. 10 indexed citations
18.
Pérez, Eduardo, D. Maldonado, Christian Acal, et al.. (2021). Advanced temperature dependent statistical analysis of forming voltage distributions for three different HfO2-based RRAM technologies. Solid-State Electronics. 176. 107961–107961. 5 indexed citations
19.
Calixto, Manuel, D. Maldonado, E. Miranda, & J.B. Roldán. (2020). Modeling of the temperature effects in filamentary-type resistive switching memories using quantum point-contact theory. Journal of Physics D Applied Physics. 53(29). 295106–295106. 7 indexed citations
20.
Maldonado, D., J.B. Roldán, F. Jiménez-Molinos, et al.. (2020). Influence of the magnetic field on dielectric breakdown in memristors based on h-BN stacks. 558. 1–5. 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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