Pedro L. Galindo

2.1k total citations
81 papers, 1.6k citations indexed

About

Pedro L. Galindo is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Structural Biology. According to data from OpenAlex, Pedro L. Galindo has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 28 papers in Atomic and Molecular Physics, and Optics and 22 papers in Structural Biology. Recurrent topics in Pedro L. Galindo's work include Advanced Electron Microscopy Techniques and Applications (22 papers), Electron and X-Ray Spectroscopy Techniques (20 papers) and Semiconductor Quantum Structures and Devices (11 papers). Pedro L. Galindo is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (22 papers), Electron and X-Ray Spectroscopy Techniques (20 papers) and Semiconductor Quantum Structures and Devices (11 papers). Pedro L. Galindo collaborates with scholars based in Spain, United States and United Kingdom. Pedro L. Galindo's co-authors include J. Pizarro, Sergio I. Molina, Elisa Guerrero, Vlado K. Lazarov, Andrés Yáñez Escolano, T. Ben, Ana M. Sánchez, S. Kret, Leonardo Lari and Ignacio J. Turias and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Pedro L. Galindo

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro L. Galindo Spain 20 745 517 494 264 235 81 1.6k
Daniel Wolf Germany 26 591 0.8× 562 1.1× 409 0.8× 356 1.3× 299 1.3× 122 1.8k
Mingjian Wu Germany 21 552 0.7× 338 0.7× 633 1.3× 214 0.8× 71 0.3× 96 1.4k
Hendrix Demers Canada 23 489 0.7× 165 0.3× 1.2k 2.3× 210 0.8× 323 1.4× 117 1.9k
Marco Stefancich Italy 20 523 0.7× 225 0.4× 733 1.5× 228 0.9× 44 0.2× 75 1.4k
N. M. Haegel United States 24 661 0.9× 688 1.3× 1.6k 3.3× 306 1.2× 23 0.1× 154 2.3k
Yong Sun United States 19 499 0.7× 182 0.4× 806 1.6× 84 0.3× 40 0.2× 94 1.7k
Daniel Nilsson Sweden 18 250 0.3× 138 0.3× 1.2k 2.4× 364 1.4× 119 0.5× 49 1.9k
Babu Chalamala United States 27 1.6k 2.1× 391 0.8× 2.2k 4.5× 563 2.1× 61 0.3× 104 3.6k
Matthew R. Maschmann United States 23 838 1.1× 226 0.4× 293 0.6× 343 1.3× 31 0.1× 76 1.4k

Countries citing papers authored by Pedro L. Galindo

Since Specialization
Citations

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

Fields of papers citing papers by Pedro L. Galindo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro L. Galindo. 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 Pedro L. Galindo. The network helps show where Pedro L. Galindo may publish in the future.

Co-authorship network of co-authors of Pedro L. Galindo

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro L. Galindo. A scholar is included among the top collaborators of Pedro L. Galindo 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 Pedro L. Galindo. Pedro L. Galindo 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.
Perez‐Peña, Fernando, et al.. (2024). ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware. SHILAP Revista de lepidopterología. 4(3). 34006–34006. 3 indexed citations
2.
Galindo, Pedro L., et al.. (2024). Automatic labeling of fish species using deep learning across different classification strategies. Frontiers in Computer Science. 6. 3 indexed citations
3.
4.
Ruiz, Patricia, et al.. (2023). Automatic Software Tailoring for Optimal Performance. IEEE Transactions on Sustainable Computing. 9(3). 464–481. 2 indexed citations
5.
Yao, Zhao-Yu, Yuliang Yuan, Tao Cheng, et al.. (2021). Anomalous Size Effect of Pt Ultrathin Nanowires on Oxygen Reduction Reaction. Nano Letters. 21(21). 9354–9360. 75 indexed citations
6.
Guerrero, Elisa, et al.. (2018). Correcting sample drift using Fourier harmonics. Micron. 110. 18–27. 1 indexed citations
7.
Guerrero, Elisa, et al.. (2017). Evaluation of high-quality image reconstruction techniques applied to high-resolution Z-contrast imaging. Ultramicroscopy. 182. 283–291. 7 indexed citations
8.
Herrera, M., David L. Sales, F. Delgado, et al.. (2016). Structural characterization of InAlAsSb/InGaAs/InP heterostructures for solar cells. Applied Surface Science. 395. 98–104. 4 indexed citations
9.
Lozano, J. G., Hao Yang, A.J. D’Alfonso, et al.. (2014). Direct Observation of Depth-Dependent Atomic Displacements Associated with Dislocations in Gallium Nitride. Physical Review Letters. 113(13). 135503–135503. 23 indexed citations
10.
García‐García, Alejandra, Marcelo M. Mariscal, Rodrigo Esparza, et al.. (2014). Analysis of electron beam damage of exfoliated MoS2 sheets and quantitative HAADF-STEM imaging. Ultramicroscopy. 146. 33–38. 65 indexed citations
11.
Hernández‐Maldonado, David, M. Herrera, Pablo Alonso‐González, et al.. (2011). Compositional Analysis with Atomic Column Spatial Resolution by 5th-Order Aberration-Corrected Scanning Transmission Electron Microscopy. Microscopy and Microanalysis. 17(4). 578–581. 13 indexed citations
12.
Molina, Sergio I., et al.. (2010). Calculation of integrated intensities in aberration-corrected Z-contrast images. Journal of Electron Microscopy. 60(1). 29–33. 16 indexed citations
13.
Pizarro, J., Pedro L. Galindo, Elisa Guerrero, et al.. (2008). Simulation of high angle annular dark field scanning transmission electron microscopy images of large nanostructures. Applied Physics Letters. 93(15). 41 indexed citations
14.
Galindo, Pedro L., S. Kret, Ana M. Sánchez, et al.. (2007). The Peak Pairs algorithm for strain mapping from HRTEM images. Ultramicroscopy. 107(12). 1186–1193. 232 indexed citations
15.
Turias, Ignacio J., et al.. (2005). A competitive neural network approach for meteorological situation clustering. Atmospheric Environment. 40(3). 532–541. 15 indexed citations
16.
Turias, Ignacio J., et al.. (2004). Modelling the effective thermal conductivity of an unidirectional composite by the use of artificial neural networks. Composites Science and Technology. 65(3-4). 609–619. 46 indexed citations
17.
Escolano, Andrés Yáñez, J. Pizarro, Elisa Guerrero, & Pedro L. Galindo. (2003). A new Meta Machine Learning (MML) method based on combining non-significant different neural networks. The European Symposium on Artificial Neural Networks. 343–348. 1 indexed citations
18.
Turias, Ignacio J., José María Gutiérrez Martínez, & Pedro L. Galindo. (2002). Pattern Recognition Approach to Quantitative Description of the Microstructure of Disordered Composites for Estimation of Thermal Conductivity. Science and Engineering of Composite Materials. 10(2). 91–98. 3 indexed citations
19.
Pizarro, J., Pedro L. Galindo, Elisa Guerrero, & Andrés Yáñez Escolano. (2002). Noise derived information criterion for model selection. The European Symposium on Artificial Neural Networks. 155–160. 1 indexed citations
20.
Pizarro, J., Elisa Guerrero, & Pedro L. Galindo. (2000). A statistical model selection strategy applied to neural networks.. The European Symposium on Artificial Neural Networks. 55–60. 13 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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