David Muñoz Ramo

2.6k total citations
50 papers, 2.1k citations indexed

About

David Muñoz Ramo is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, David Muñoz Ramo has authored 50 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 14 papers in Electrical and Electronic Engineering and 11 papers in Condensed Matter Physics. Recurrent topics in David Muñoz Ramo's work include Electronic and Structural Properties of Oxides (12 papers), Semiconductor materials and devices (11 papers) and Quantum Computing Algorithms and Architecture (10 papers). David Muñoz Ramo is often cited by papers focused on Electronic and Structural Properties of Oxides (12 papers), Semiconductor materials and devices (11 papers) and Quantum Computing Algorithms and Architecture (10 papers). David Muñoz Ramo collaborates with scholars based in United Kingdom, Japan and Spain. David Muñoz Ramo's co-authors include Alexander L. Shluger, Jacob Gavartin, G. Bersuker, Francesc Illas, Ibério de P. R. Moreira, Carlo Adamo, Gustavo E. Scuseria, Paul D. Bristowe, N. M. Harrison and Anna V. Kimmel and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

David Muñoz Ramo

48 papers receiving 2.0k citations

Peers

David Muñoz Ramo

EEE

EOMM

AMPO

CMP

Yongxin Yao United States

Matteo Gatti France

A. Perucchi Italy

U. Gerstmann Germany

Stephen P. Cottrell United Kingdom

Shiwu Gao China

M. Saïd Tunisia

Giyuu Kido Japan

Burak Himmetoḡlu United States

Lucas K. Wagner United States

Yongxin Yao United States

David Muñoz Ramo

926 ×0.9

453 ×0.5

EEE

433 ×0.8

EOMM

883 ×2.4

AMPO

645 ×2.5

CMP

Citations per year, relative to David Muñoz Ramo David Muñoz Ramo (= 1×) peers Yongxin Yao

Countries citing papers authored by David Muñoz Ramo

Since Specialization

Citations

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

Fields of papers citing papers by David Muñoz Ramo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Muñoz Ramo. 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 David Muñoz Ramo. The network helps show where David Muñoz Ramo may publish in the future.

Co-authorship network of co-authors of David Muñoz Ramo

This figure shows the co-authorship network connecting the top 25 collaborators of David Muñoz Ramo. A scholar is included among the top collaborators of David Muñoz Ramo 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 David Muñoz Ramo. David Muñoz Ramo 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

Tang, Yao, et al.. (2025). Hamiltonian dynamics simulation using linear combination of unitaries on an ion trap quantum computer. Quantum Science and Technology. 11(1). 15023–15023.

Self, Chris N., et al.. (2025). Measuring correlation and entanglement between molecular orbitals on a trapped-ion quantum computer. Scientific Reports. 15(1). 28409–28409.

Manrique, David Zsolt, Kentaro Yamamoto, Evgeny Plekhanov, et al.. (2024). Quantum Computed Green's Functions using a Cumulant Expansion of the Lanczos Method. Quantum. 8. 1383–1383. 2 indexed citations

Ramo, David Muñoz, et al.. (2024). Variational Phase Estimation with Variational Fast Forwarding. Quantum. 8. 1278–1278. 4 indexed citations

Ramo, David Muñoz, et al.. (2024). Quantum computing simulation of a mixed spin-boson Hamiltonian and its performance for a cavity quantum electrodynamics problem. Physical review. A. 109(3). 5 indexed citations

Paola, Cono Di, Evgeny Plekhanov, Michał Krompiec, et al.. (2024). Platinum-based catalysts for oxygen reduction reaction simulated with a quantum computer. npj Computational Materials. 10(1). 8 indexed citations

Paola, Cono Di, et al.. (2024). Quantum hardware calculations of the activation and dissociation of nitrogen on iron clusters and surfaces. Physical Chemistry Chemical Physics. 26(7). 5895–5906. 1 indexed citations

Yamamoto, Kentaro, et al.. (2024). Demonstrating Bayesian quantum phase estimation with quantum error detection. Physical Review Research. 6(1). 19 indexed citations

Ramo, David Muñoz, et al.. (2024). Non-Unitary Trotter Circuits for Imaginary Time Evolution. 498–499. 1 indexed citations

10.

Ramo, David Muñoz, et al.. (2024). Non-unitary Trotter circuits for imaginary time evolution. Quantum Science and Technology. 9(4). 45007–45007. 8 indexed citations

11.

Ramo, David Muñoz, et al.. (2023). Chemically aware unitary coupled cluster with ab initio calculations on an ion trap quantum computer: A refrigerant chemicals’ application. The Journal of Chemical Physics. 158(21). 13 indexed citations

12.

Ramo, David Muñoz & Stephen J. Jenkins. (2018). Adsorption of alcohols and hydrocarbons on nonstoichiometric cementite{010} surfaces. Physical Chemistry Chemical Physics. 20(20). 14133–14144. 3 indexed citations

13.

Ramo, David Muñoz & Stephen J. Jenkins. (2017). Adsorption of atmospheric gases on cementite 010 surfaces. The Journal of Chemical Physics. 146(20). 204703–204703. 8 indexed citations

14.

Ramo, David Muñoz & Paul D. Bristowe. (2016). Impact of amorphization on the electronic properties of Zn–Ir–O systems. Journal of Physics Condensed Matter. 28(34). 345502–345502. 5 indexed citations

15.

Shluger, Alexander L., Keith P. McKenna, Peter V. Sushko, David Muñoz Ramo, & Anna V. Kimmel. (2009). Modelling of electron and hole trapping in oxides. Modelling and Simulation in Materials Science and Engineering. 17(8). 84004–84004. 50 indexed citations

16.

Ramo, David Muñoz, Alexander L. Shluger, Jacob Gavartin, & G. Bersuker. (2007). Theoretical Prediction of Intrinsic Self-Trapping of Electrons and Holes in MonoclinicHfO2. Physical Review Letters. 99(15). 155504–155504. 126 indexed citations

17.

Ramo, David Muñoz, Coen de Graaf, & Francesc Illas. (2004). Putting error bars on the Ab Initio theoretical estimates of the magnetic coupling constants: The parent compounds of superconducting cuprates as a case study. Journal of Computational Chemistry. 25(10). 1234–1241. 36 indexed citations

18.

Ramo, David Muñoz, N. M. Harrison, & Francesc Illas. (2004). Electronic and magnetic structure ofLaMnO3from hybrid periodic density-functional theory. Physical Review B. 69(8). 119 indexed citations

19.

Illas, Francesc, David Muñoz Ramo, Coen de Graaf, & Ibério de P. R. Moreira. (2003). Unexpected role of Madelung potential in monoplanar high-Tc cuprate superconductors. Chemical Physics Letters. 379(3-4). 291–296. 9 indexed citations

20.

Moreira, Ibério de P. R., et al.. (2001). A relationship between electronic structure effective parameters and Tc in monolayered cuprate superconductors. Chemical Physics Letters. 345(1-2). 183–188. 19 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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