Ester M. Garzón

1.5k total citations
80 papers, 997 citations indexed

About

Ester M. Garzón is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Ester M. Garzón has authored 80 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Theory and Mathematics, 23 papers in Artificial Intelligence and 12 papers in Hardware and Architecture. Recurrent topics in Ester M. Garzón's work include Quantum Computing Algorithms and Architecture (15 papers), Parallel Computing and Optimization Techniques (12 papers) and Quantum Information and Cryptography (11 papers). Ester M. Garzón is often cited by papers focused on Quantum Computing Algorithms and Architecture (15 papers), Parallel Computing and Optimization Techniques (12 papers) and Quantum Information and Cryptography (11 papers). Ester M. Garzón collaborates with scholars based in Spain, Lithuania and Germany. Ester M. Garzón's co-authors include I. García, José‐Jesús Fernández, Antonio Plaza, Gloria Ortega, José A. Martínez, Ernestas Filatovas, Francisco Javier Las Heras‐Vázquez, Antonio M. Puertas, Siham Tabik and Elías F. Combarro and has published in prestigious journals such as The Journal of Chemical Physics, Bioinformatics and Optics Express.

In The Last Decade

Ester M. Garzón

74 papers receiving 955 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ester M. Garzón Spain 15 302 249 235 212 200 80 997
Francisco D. Igual Spain 15 44 0.1× 125 0.5× 518 2.2× 122 0.6× 416 2.1× 83 860
Hajime Suzuki Australia 18 94 0.3× 132 0.5× 100 0.4× 162 0.8× 702 3.5× 116 2.0k
Tom Peterka United States 19 73 0.2× 56 0.2× 100 0.4× 43 0.2× 280 1.4× 57 1.2k
Mark Gates United States 14 36 0.1× 81 0.3× 251 1.1× 156 0.7× 187 0.9× 50 622
Tom Peterka United States 17 32 0.1× 151 0.6× 178 0.8× 32 0.2× 340 1.7× 58 987
J. Barhen United States 18 45 0.1× 487 2.0× 14 0.1× 116 0.5× 344 1.7× 105 1.3k
John E. Dorband United States 10 44 0.1× 53 0.2× 155 0.7× 26 0.1× 243 1.2× 39 547
Effrosyni Kokiopoulou Switzerland 17 100 0.3× 263 1.1× 7 0.0× 139 0.7× 183 0.9× 33 957
Stuart F. Oberman United States 13 30 0.1× 194 0.8× 783 3.3× 554 2.6× 532 2.7× 23 1.6k
Everett Phillips United States 10 10 0.0× 112 0.4× 279 1.2× 60 0.3× 240 1.2× 14 752

Countries citing papers authored by Ester M. Garzón

Since Specialization
Citations

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

Fields of papers citing papers by Ester M. Garzón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ester M. Garzón. 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 Ester M. Garzón. The network helps show where Ester M. Garzón may publish in the future.

Co-authorship network of co-authors of Ester M. Garzón

This figure shows the co-authorship network connecting the top 25 collaborators of Ester M. Garzón. A scholar is included among the top collaborators of Ester M. Garzón 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 Ester M. Garzón. Ester M. Garzón 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.
Ortega, Gloria, et al.. (2025). A hybrid quantum-classical approach for liver disease detection using quantum machine learning. Engineering Applications of Artificial Intelligence. 164. 113240–113240.
2.
Redondo, Juana L., et al.. (2024). Bi-Level Optimization to Enhance Intensity Modulated Radiation Therapy Planning. Informatica. 99–124. 1 indexed citations
3.
Combarro, Elías F., et al.. (2024). Quantum algorithms to compute the neighbour list of N-body simulations. Quantum Information Processing. 23(2).
4.
Ortega, Gloria, et al.. (2024). Lowering the cost of quantum comparator circuits. The Journal of Supercomputing. 80(10). 13900–13917. 2 indexed citations
5.
Filatovas, Ernestas, et al.. (2023). A quantum circuit to generate random numbers within a specific interval. EPJ Quantum Technology. 10(1). 5 indexed citations
6.
Ortega, Gloria, et al.. (2023). Efficient design of a quantum absolute-value circuit using Clifford+T gates. The Journal of Supercomputing. 79(11). 12656–12670. 4 indexed citations
7.
Fuchs, Matthias, et al.. (2023). Active and passive microrheology with large tracers in hard colloids. The Journal of Chemical Physics. 159(14). 2 indexed citations
8.
Garzón, Ester M., José A. Martínez, Juan José Moreno, & María Luz Puertas. (2022). On the 2-domination Number of Cylinders with Small Cycles. Fundamenta Informaticae. 185(2). 185–199. 2 indexed citations
9.
Garzón, Ester M., et al.. (2022). HPC enables efficient 3D membrane segmentation in electron tomography. The Journal of Supercomputing. 78(17). 19097–19113. 2 indexed citations
10.
Ortega, Gloria, et al.. (2020). Dynamics and friction of a large colloidal particle in a bath of hard spheres: Langevin dynamics simulations and hydrodynamic description. Physical review. E. 101(5). 52607–52607. 6 indexed citations
11.
Ortega, Gloria, et al.. (2018). Finite size effects in active microrheology in colloids. Computer Physics Communications. 236. 8–14. 8 indexed citations
12.
Ortega, Gloria, et al.. (2016). Using low-power platforms for Evolutionary Multi-Objective Optimization algorithms. The Journal of Supercomputing. 73(1). 302–315. 7 indexed citations
13.
Garzón, Ester M., et al.. (2014). Exploring the performance–power–energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing. The Journal of Supercomputing. 71(5). 1893–1906. 7 indexed citations
14.
Garzón, Ester M., et al.. (2012). Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction. Ultramicroscopy. 115. 109–114. 28 indexed citations
15.
Ortigosa, Pilar M., et al.. (2011). DESIGN OF CLIL ACTIVITIES FOR COMPUTER ENGINEERING COURSES AT THE UNIVERSITY. EDULEARN proceedings. 32(7). 2311–2319. 1 indexed citations
16.
Heras‐Vázquez, Francisco Javier Las, José‐Jesús Fernández, & Ester M. Garzón. (2011). Automatic tuning of the sparse matrix vector product on GPUs based on the ELLR-T approach. Parallel Computing. 38(8). 408–420. 30 indexed citations
17.
Garzón, Ester M., et al.. (2010). A matrix approach to tomographic reconstruction and its implementation on GPUs. Journal of Structural Biology. 170(1). 146–151. 24 indexed citations
18.
Tabik, Siham, Luis F. Romero, Ester M. Garzón, & J.I. Ramos. (2007). On a model of three-dimensional bursting and its parallel implementation. Computer Physics Communications. 178(7). 471–485.
19.
Garzón, Ester M., et al.. (2001). Parallel implementation for large and sparse Eigenproblems. Acta Cybernetica. 15(2). 137–149. 2 indexed citations
20.
Garzón, Ester M., et al.. (1998). Viabilidad del aprovechamiento del agua de lluvia caída sobre la cubierta del invernadero mediante pequeños embalses. 614–622. 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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