Erickson Torio

500 citations
28 papers · 104 · h-index 6

Impact in

Papers in

    • Radiomics and Machine Learning in Medical Imaging 4
    • Advanced Neuroimaging Techniques and Applications 4
    • MRI in cancer diagnosis 3
    • Intracranial Aneurysms: Treatment and Complications 5
    • Vascular Malformations Diagnosis and Treatment 5

Erickson Torio

22 papers receiving 103 citations

Peers

Erickson Torio
Comparison fields: 5 of 34
  • Radiology, Nuclear Medicine and Imaging 34
  • Computational Mathematics 1
  • Neurology 9
  • Neurology 15
  • Genetics 9
Replace Jan Valošek with:
Jan Valošek Czechia
Irène Ollivier France
Matthias A. Mutke Germany
Silvester Kabwama United Kingdom
Marlies Bauer Austria
Zwenneke Flach Netherlands
Jesper Leth Hougaard Denmark
Sei Yeul Oh South Korea
Christoph Mitsch Austria
Erickson Torio relative to Jan Valošek Czechia Jan Valošek's profile →
Citations per field
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Jan Valošek · 1×
Citations per year

Countries citing papers authored by Erickson Torio

Since Specialization
Citations

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

Fields of papers citing papers by Erickson Torio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erickson Torio, 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 Erickson Torio Line = papers co-authored together Erickson Torio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
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11 20223
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14 20173
15 20252
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About Erickson Torio

Erickson Torio is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 104 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Glioma Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (3 papers), Fetal and Pediatric Neurological Disorders (3 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (34 citations), Computational Mathematics (1 citation), Neurology (9 citations), Neurology (15 citations) and Genetics (9 citations). Erickson Torio has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Alexandra J. Golby, Parikshit Juvekar, Sarah Frisken, Reuben Dorent, Rose Du, Nazim Haouchine, Tina Kapur, Ari D. Kappel, William M. Wells and Madhav Sukumaran. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Human Brain Mapping, Neurosurgery, NeuroImage Clinical and Dementia and Geriatric Cognitive Disorders.

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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