Jorge Calvar

460 citations
8 papers · 172 · h-index 6

Impact in

    • Glioma Diagnosis and Treatment
    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Jorge Calvar

8 papers receiving 166 citations

Peers

Jorge Calvar
Comparison fields: 5 of 48
  • Genetics 38
  • Radiology, Nuclear Medicine and Imaging 57
  • Neurology 32
  • Health Informatics 2
  • Neurology 11
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Vivien Tóth Germany
Luí­sa Albuquerque Portugal
Erica Silvestri Italy
Andrej Šteňo Slovakia
P. Merle France
Denise Olbrich Germany
Yoko Okamoto Japan
Greta Brenna Italy
L V Shishkina Russia
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Citations per field
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Citations per year

Countries citing papers authored by Jorge Calvar

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Calvar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200582
2 200941
3 201816
4 200915
5 20148
6 20068
7 20121
8
Génesis de la Empresa de Inglaterra de 1588 : (28 junio 1568-30 enero 1586)
19881

About Jorge Calvar

Jorge Calvar is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 172 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (3 papers), Advanced MRI Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Medieval and Early Modern Iberia (1 paper), Epigenetics and DNA Methylation (1 paper), Brain Tumor Detection and Classification (1 paper), Atomic and Subatomic Physics Research (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Genetics (38 citations), Radiology, Nuclear Medicine and Imaging (57 citations), Neurology (32 citations), Health Informatics (2 citations) and Neurology (11 citations). Jorge Calvar has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Francisco Meli, Gustavo Sevlever, Carlos Romero, Elkan Gamzu, Esteban A. Fridman, Ross Zafonte, R. Leiguarda, Horacio Martinetto, Ezequiel Surace and Miguel Baquero. Their work appears in journals such as Journal of Neuro-Oncology, Journal of Chemometrics, Magnetic Resonance Imaging, The Journals of Gerontology Series A and NMR in Biomedicine.

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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