J. Pizarro

762 total citations
35 papers, 562 citations indexed

About

J. Pizarro is a scholar working on Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films and Electrical and Electronic Engineering. According to data from OpenAlex, J. Pizarro has authored 35 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 13 papers in Surfaces, Coatings and Films and 13 papers in Electrical and Electronic Engineering. Recurrent topics in J. Pizarro's work include Electron and X-Ray Spectroscopy Techniques (13 papers), Advanced Electron Microscopy Techniques and Applications (11 papers) and Semiconductor Quantum Structures and Devices (8 papers). J. Pizarro is often cited by papers focused on Electron and X-Ray Spectroscopy Techniques (13 papers), Advanced Electron Microscopy Techniques and Applications (11 papers) and Semiconductor Quantum Structures and Devices (8 papers). J. Pizarro collaborates with scholars based in Spain, United States and United Kingdom. J. Pizarro's co-authors include Pedro L. Galindo, Elisa Guerrero, Sergio I. Molina, Andrés Yáñez Escolano, T. Ben, S. Kret, Ana M. Sánchez, J.Y. Laval, David L. Sales and M. Herrera and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

J. Pizarro

33 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Pizarro Spain 12 203 178 162 129 117 35 562
Elisa Guerrero Spain 10 189 0.9× 144 0.8× 145 0.9× 82 0.6× 122 1.0× 20 478
John Joseph United States 13 82 0.4× 219 1.2× 47 0.3× 120 0.9× 112 1.0× 44 601
C. Beitia France 11 121 0.6× 361 2.0× 174 1.1× 178 1.4× 16 0.1× 39 649
Matthias Strobel Germany 14 368 1.8× 326 1.8× 102 0.6× 189 1.5× 14 0.1× 54 768
Hideki Fujita Japan 14 116 0.6× 747 4.2× 70 0.4× 30 0.2× 36 0.3× 96 974
Shizhen Xu China 18 118 0.6× 120 0.7× 95 0.6× 160 1.2× 19 0.2× 50 679
Saransh Singh United States 14 331 1.6× 87 0.5× 58 0.4× 53 0.4× 61 0.5× 49 642
Alberto Roncaglia Italy 15 157 0.8× 324 1.8× 156 1.0× 311 2.4× 29 0.2× 75 689
Ashivni Shekhawat United States 7 357 1.8× 55 0.3× 83 0.5× 74 0.6× 21 0.2× 9 584
Simon Burgess United Kingdom 11 80 0.4× 256 1.4× 45 0.3× 50 0.4× 19 0.2× 74 730

Countries citing papers authored by J. Pizarro

Since Specialization
Citations

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

Fields of papers citing papers by J. Pizarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Pizarro

This figure shows the co-authorship network connecting the top 25 collaborators of J. Pizarro. A scholar is included among the top collaborators of J. Pizarro 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 J. Pizarro. J. Pizarro 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.
Gontard, Lionel C., et al.. (2021). Automatic segmentation of ventricular volume by 3D ultrasonography in post haemorrhagic ventricular dilatation among preterm infants. Scientific Reports. 11(1). 567–567. 9 indexed citations
2.
Gontard, Lionel C., et al.. (2020). Simulation of transmission electron microscopy images using a generalized single-slice approach: The case of self-assembled quantum dots. Materials Characterization. 164. 110312–110312. 2 indexed citations
3.
Herrera, M., Peter J. Carrington, Marı́a de la Mata, et al.. (2019). Effect of the cap layer growth temperature on the Sb distribution in InAs/InSb/InAs sub-monolayer heterostructures for mid-infrared devices. Nanotechnology. 31(10). 105702–105702. 1 indexed citations
4.
Herrera, M., et al.. (2019). Investigation on Sb distribution for InSb/InAs sub-monolayer heterostructure using TEM techniques. Nanotechnology. 31(2). 25706–25706. 8 indexed citations
5.
Hernández‐Saz, Jesús, M. Herrera, J. Pizarro, et al.. (2018). Influence of the growth temperature on the composition distribution at sub-nm scale of InAlAsSb for solar cells. Journal of Alloys and Compounds. 763. 1005–1011. 4 indexed citations
6.
Hernández‐Saz, Jesús, J. Pizarro, M. Herrera, Sergio I. Molina, & Pedro L. Galindo. (2018). Gaussian kernel density functions for compositional quantification in atom probe tomography. Materials Characterization. 139. 63–69. 3 indexed citations
7.
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
8.
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
9.
Pizarro, J., et al.. (2011). ADART: An Adaptive Algebraic Reconstruction Algorithm for Discrete Tomography. IEEE Transactions on Image Processing. 20(8). 2146–2152. 17 indexed citations
10.
Hernández‐Maldonado, David, M. Herrera, David L. Sales, et al.. (2010). Transmission electron microscopy study of vertical quantum dots molecules grown by droplet epitaxy. Applied Surface Science. 256(18). 5659–5661. 2 indexed citations
11.
Guerrero, Elisa, et al.. (2009). Accuracy assessment of strain mapping from Z-contrast images of strained nanostructures. Applied Physics Letters. 95(14). 16 indexed citations
12.
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
13.
Molina, Sergio I., M. Varela, T. Ben, et al.. (2008). A Method to Determine the Strain and Nucleation Sites of Stacked Nano-Objects. Journal of Nanoscience and Nanotechnology. 8(7). 3422–3426. 5 indexed citations
14.
Ben, T., J. Pizarro, Pedro L. Galindo, et al.. (2008). Experimental and Simulated Strain Field Maps in Stacked Quantum Wires. Microscopy and Microanalysis. 14(S2). 344–345. 1 indexed citations
15.
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
16.
Sales, David L., J. Pizarro, Pedro L. Galindo, et al.. (2007). Critical strain region evaluation of self-assembled semiconductor quantum dots. Nanotechnology. 18(47). 475503–475503. 16 indexed citations
17.
Molina, Sergio I., T. Ben, David L. Sales, et al.. (2006). Determination of the strain generated in InAs/InP quantum wires: prediction of nucleation sites. Nanotechnology. 17(22). 5652–5658. 18 indexed citations
18.
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
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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