Xavier Tomas-Fernandez

972 citations
12 papers · 237 · h-index 8

Impact in

Papers in

Xavier Tomas-Fernandez

12 papers receiving 231 citations

Peers

Xavier Tomas-Fernandez
Comparison fields: 5 of 49
  • Radiology, Nuclear Medicine and Imaging 75
  • Neurology 26
  • Computer Vision and Pattern Recognition 62
  • Media Technology 22
  • Cognitive Neuroscience 46
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D. Rodríguez United Kingdom
Elaine Williams United Kingdom
J Lecoeur France
Zhenhua Mai Belgium
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Kilian Hett United States
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Citations per field
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Citations per year

Countries citing papers authored by Xavier Tomas-Fernandez

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Tomas-Fernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Tomas-Fernandez. 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 Xavier Tomas-Fernandez. The network helps show where Xavier Tomas-Fernandez may publish in the future.

Co-authors

The 25 scholars most cited alongside Xavier Tomas-Fernandez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xavier Tomas-Fernandez Line = papers co-authored together Xavier Tomas-Fernandez links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201551
2 201934
3 201933
4 201931
5 201324
6 201524
7 201914
8 201113
9 20126
10 20173
11 20182
12 20222

About Xavier Tomas-Fernandez

Xavier Tomas-Fernandez is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 237 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Medical Image Segmentation Techniques (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Tuberous Sclerosis Complex Research (2 papers), Advanced MRI Techniques and Applications (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (75 citations), Neurology (26 citations), Computer Vision and Pattern Recognition (62 citations), Media Technology (22 citations) and Cognitive Neuroscience (46 citations). Xavier Tomas-Fernandez has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Simon K. Warfield, Jurriaan M. Peters, Sanjay P. Prabhu, Anna K. Prohl, Mustafa Şahin, Benoît Scherrer, Sila Kurugol, Jennifer Dy, Ali Gholipour and Hope Northrup. Their work appears in journals such as IEEE Transactions on Medical Imaging, Cerebral Cortex, Journal of Neurodevelopmental Disorders, International Journal of Computer Assisted Radiology and Surgery and Neurology.

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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