Moisés Hernández-Fernández

2.6k total citations
8 papers, 441 citations indexed

About

Moisés Hernández-Fernández is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Moisés Hernández-Fernández has authored 8 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Cognitive Neuroscience. Recurrent topics in Moisés Hernández-Fernández's work include Advanced Neuroimaging Techniques and Applications (7 papers), MRI in cancer diagnosis (5 papers) and Advanced MRI Techniques and Applications (5 papers). Moisés Hernández-Fernández is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (7 papers), MRI in cancer diagnosis (5 papers) and Advanced MRI Techniques and Applications (5 papers). Moisés Hernández-Fernández collaborates with scholars based in United Kingdom, United States and France. Moisés Hernández-Fernández's co-authors include Saâd Jbabdi, Stamatios N. Sotiropoulos, Timothy E.J. Behrens, Tim B. Dyrby, Kenneth Knoblauch, Timothy S. Coalson, Matthew F. Glasser, Henry Kennedy, Chad J. Donahue and David C. Van Essen and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Moisés Hernández-Fernández

8 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moisés Hernández-Fernández United Kingdom 6 335 282 70 23 22 8 441
Colin B. Hansen United States 9 357 1.1× 143 0.5× 55 0.8× 23 1.0× 31 1.4× 17 438
Etienne St‐Onge Canada 9 281 0.8× 142 0.5× 115 1.6× 11 0.5× 23 1.0× 16 335
D. Riviére France 4 211 0.6× 180 0.6× 47 0.7× 16 0.7× 17 0.8× 4 321
Zhexing Liu China 8 420 1.3× 180 0.6× 147 2.1× 23 1.0× 55 2.5× 19 518
Daniel Bullock United States 9 177 0.5× 175 0.6× 42 0.6× 11 0.5× 18 0.8× 14 310
David Yu United States 6 324 1.0× 406 1.4× 53 0.8× 60 2.6× 31 1.4× 9 538
Indika S. Walimuni United States 9 253 0.8× 93 0.3× 43 0.6× 25 1.1× 33 1.5× 11 374
Mahshid Farzinfar United States 5 213 0.6× 103 0.4× 97 1.4× 10 0.4× 12 0.5× 9 285
Hikaru Fukutomi Japan 6 240 0.7× 103 0.4× 38 0.5× 16 0.7× 45 2.0× 9 299
Shaun Warrington United Kingdom 6 164 0.5× 136 0.5× 37 0.5× 8 0.3× 18 0.8× 12 250

Countries citing papers authored by Moisés Hernández-Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Moisés Hernández-Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moisés Hernández-Fernández. 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 Moisés Hernández-Fernández. The network helps show where Moisés Hernández-Fernández may publish in the future.

Co-authorship network of co-authors of Moisés Hernández-Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Moisés Hernández-Fernández. A scholar is included among the top collaborators of Moisés Hernández-Fernández 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 Moisés Hernández-Fernández. Moisés Hernández-Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Williams, Lynne J., et al.. (2022). Comparison of CPU and GPU bayesian estimates of fibre orientations from diffusion MRI. PLoS ONE. 17(4). e0252736–e0252736. 3 indexed citations
2.
Tendler, Benjamin C., Sean Foxley, Moisés Hernández-Fernández, et al.. (2020). Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP. NeuroImage. 220. 117113–117113. 5 indexed citations
3.
Cottaar, Michiel, Filip Szczepankiewicz, Matteo Bastiani, et al.. (2020). Improved fibre dispersion estimation using b-tensor encoding. NeuroImage. 215. 116832–116832. 11 indexed citations
4.
Hernández-Fernández, Moisés, István Z. Reguly, Saâd Jbabdi, et al.. (2018). Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes. NeuroImage. 188. 598–615. 91 indexed citations
5.
Hernández-Fernández, Moisés, Steven Brem, Simon Alexander, et al.. (2018). Characterizing Peritumoral Tissue Using Free Water Elimination in Clinical DTI. 1–9. 1 indexed citations
6.
Madhyastha, Tara, et al.. (2017). Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?. Frontiers in Neuroinformatics. 11. 63–63. 10 indexed citations
7.
Sotiropoulos, Stamatios N., Moisés Hernández-Fernández, An T. Vu, et al.. (2016). Fusion in diffusion MRI for improved fibre orientation estimation: An application to the 3T and 7T data of the Human Connectome Project. NeuroImage. 134. 396–409. 70 indexed citations
8.
Donahue, Chad J., Stamatios N. Sotiropoulos, Saâd Jbabdi, et al.. (2016). Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey. Journal of Neuroscience. 36(25). 6758–6770. 250 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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