J.J. Vaquero

5.5k total citations
205 papers, 4.0k citations indexed

About

J.J. Vaquero is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, J.J. Vaquero has authored 205 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Radiology, Nuclear Medicine and Imaging, 91 papers in Radiation and 54 papers in Biomedical Engineering. Recurrent topics in J.J. Vaquero's work include Medical Imaging Techniques and Applications (132 papers), Radiation Detection and Scintillator Technologies (71 papers) and Advanced MRI Techniques and Applications (41 papers). J.J. Vaquero is often cited by papers focused on Medical Imaging Techniques and Applications (132 papers), Radiation Detection and Scintillator Technologies (71 papers) and Advanced MRI Techniques and Applications (41 papers). J.J. Vaquero collaborates with scholars based in Spain, United States and United Kingdom. J.J. Vaquero's co-authors include Manuel Desco, Jürgen Seidel, Paul E. Kinahan, M.V. Green, A. Santos, Francisco del Pozo, Carlos Ortíz-de-Solórzano, Norberto Malpica, J. M. Udı́as and J. L. Herraiz and has published in prestigious journals such as PLoS ONE, NeuroImage and Development.

In The Last Decade

J.J. Vaquero

197 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.J. Vaquero Spain	30	2.4k	1.3k	938	509	461	205	4.0k
A. Santos Spain	27	1.6k 0.7×	565 0.4×	629 0.7×	286 0.6×	683 1.5×	192	3.6k
Georges El Fakhri United States	45	4.5k 1.9×	1.3k 1.0×	2.0k 2.1×	297 0.6×	92 0.2×	397	7.7k
Mark A. Anastasio United States	38	2.8k 1.2×	936 0.7×	3.5k 3.8×	248 0.5×	191 0.4×	326	5.0k
Jinyi Qi United States	48	7.2k 3.1×	2.9k 2.3×	2.7k 2.9×	671 1.3×	148 0.3×	240	8.3k
Miles N. Wernick United States	33	2.1k 0.9×	762 0.6×	1.2k 1.3×	90 0.2×	91 0.2×	199	3.9k
Arion F. Chatziioannou United States	42	5.0k 2.1×	2.0k 1.5×	2.1k 2.3×	473 0.9×	472 1.0×	150	6.8k
A. van der Schaaf Netherlands	32	1.1k 0.5×	1.1k 0.9×	246 0.3×	254 0.5×	94 0.2×	134	5.2k
Steven R. Meikle Australia	38	3.2k 1.3×	955 0.7×	1.0k 1.1×	133 0.3×	94 0.2×	187	4.2k
T.K. Lewellen United States	29	3.4k 1.4×	1.5k 1.2×	764 0.8×	314 0.6×	59 0.1×	145	4.4k
Chin-Tu Chen United States	23	1.2k 0.5×	339 0.3×	767 0.8×	143 0.3×	67 0.1×	127	3.0k

Countries citing papers authored by J.J. Vaquero

Since Specialization

Citations

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

Fields of papers citing papers by J.J. Vaquero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J.J. Vaquero. A scholar is included among the top collaborators of J.J. Vaquero 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.J. Vaquero. J.J. Vaquero 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

Herraiz, J. L., et al.. (2023). Reconstruction of multi-animal PET acquisitions with anisotropically variant PSF. Biomedical Physics & Engineering Express. 9(6). 65018–65018. 2 indexed citations

Vaquero, J.J., et al.. (2023). Scintillator Geometrical Considerations for Detectors Based on Hexagonal SiPMs. IEEE Transactions on Radiation and Plasma Medical Sciences. 7(7). 684–691.

Udı́as, J. M., et al.. (2021). Super-Iterative Image Reconstruction in PET. IEEE Transactions on Computational Imaging. 7. 248–257. 5 indexed citations

Vaquero, J.J., et al.. (2021). Innovations in ex vivo Light Sheet Fluorescence Microscopy. Progress in Biophysics and Molecular Biology. 168. 37–51. 11 indexed citations

Marco, Miguel, et al.. (2020). Development of an Inverted Epifluorescence Microscope for Long-Term Monitoring of Bacteria in Multiplexed Microfluidic Devices. Sensors. 20(15). 4140–4140. 4 indexed citations

Udı́as, J. M., et al.. (2020). Real-Time 3D PET Image with Pseudoinverse Reconstruction. Applied Sciences. 10(8). 2829–2829. 4 indexed citations

Vaquero, J.J., et al.. (2019). X-ray-based virtual slicing of TB-infected lungs. Scientific Reports. 9(1). 19404–19404. 3 indexed citations

Gómez‐Gaviro, María Victoria, Evan Balaban, María Pompeiano, et al.. (2017). Optimized CUBIC protocol for 3D imaging of chicken embryos at single-cell resolution. Development. 144(11). 2092–2097. 30 indexed citations

Mateos-Pérez, J.M., et al.. (2013). Automatic TAC extraction from dynamic cardiac PET imaging using iterative correlation from a population template. Computer Methods and Programs in Biomedicine. 111(2). 308–314. 3 indexed citations

10.

Chamorro-Servent, Judit, Juan Abascal, Juan Aguirre, et al.. (2013). Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography. Journal of Biomedical Optics. 18(7). 76016–76016. 26 indexed citations

11.

Goertzen, Andrew L., Qinan Bao, Mélanie Bergeron, et al.. (2012). NEMA NU 4-2008 Comparison of Preclinical PET Imaging Systems. Journal of Nuclear Medicine. 53(8). 1300–1309. 182 indexed citations

12.

Balaban, Evan, Manuel Desco, & J.J. Vaquero. (2012). Waking-like Brain Function in Embryos. Current Biology. 22(10). 852–861. 27 indexed citations

13.

Abascal, Juan, et al.. (2012). Investigation of different Compressed Sensing approaches for respiratory gating in small animal CT. e-Archivo (Carlos III University of Madrid). 3344–3346. 2 indexed citations

14.

Abascal, Juan, Judit Chamorro-Servent, Juan Aguirre, et al.. (2011). Fluorescence diffuse optical tomography using the split Bregman method. Medical Physics. 38(11). 6275–6284. 53 indexed citations

15.

Vicente, E., J. L. Herraiz, Mario Cañadas, et al.. (2010). Validation of NEMA NU4–2008 scatter fraction estimation with <sup>18</sup>F and <sup>68</sup>Ga for the ARGUS smallanimal PET scanner. e-Archivo (Carlos III University of Madrid). 47. 3553–3557. 1 indexed citations

16.

España, Samuel, J. L. Herraiz, E. Vicente, et al.. (2009). PeneloPET, a Monte Carlo PET simulation tool based on PENELOPE: features and validation. Physics in Medicine and Biology. 54(6). 1723–1742. 60 indexed citations

17.

Soto‐Montenegro, María Luisa, J.J. Vaquero, Javier Pascau, et al.. (2008). Detection of Visual Activation in the Rat Brain Using 2-deoxy-2-[18F]fluoro-d-glucose and Statistical Parametric Mapping (SPM). Molecular Imaging and Biology. 11(2). 94–99. 15 indexed citations

18.

Vaquero, J.J., et al.. (2008). Validation of a retrospective respiratory gating method for small-animal CT scanners. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3749. 4303–4305. 3 indexed citations

19.

Gispert, Juan Domingo, Santiago Reig, Javier Pascau, et al.. (2004). Method for bias field correction of brain T1‐weighted magnetic resonance images minimizing segmentation error. Human Brain Mapping. 22(2). 133–144. 58 indexed citations

20.

Kontaxakis, George, et al.. (2002). RECONSTRUCCIÓN DE IMAGEN EN TOMOGRAFÍA POR EMISIÓN DE POSITRONES. e-Archivo (Carlos III University of Madrid). 96(1). 45. 2 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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