Fernando Calamante

20.0k total citations · 10 hit papers
155 papers, 13.5k citations indexed

About

Fernando Calamante is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Fernando Calamante has authored 155 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Radiology, Nuclear Medicine and Imaging, 43 papers in Cognitive Neuroscience and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Fernando Calamante's work include Advanced MRI Techniques and Applications (116 papers), Advanced Neuroimaging Techniques and Applications (111 papers) and MRI in cancer diagnosis (50 papers). Fernando Calamante is often cited by papers focused on Advanced MRI Techniques and Applications (116 papers), Advanced Neuroimaging Techniques and Applications (111 papers) and MRI in cancer diagnosis (50 papers). Fernando Calamante collaborates with scholars based in Australia, United Kingdom and United States. Fernando Calamante's co-authors include Alan Connelly, Jacques‐Donald Tournier, David G. Gadian, Robert E. Smith, Robert E. Smith, David L. Thomas, Graeme D. Jackson, Gaby S. Pell, Emanuel Kanal and Chun‐Hung Yeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Stroke.

In The Last Decade

Fernando Calamante

147 papers receiving 13.3k citations

Hit Papers

Robust determination of the fibre orientation distributio... 1999 2026 2008 2017 2007 2004 2012 2012 2017 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution
    2007 1.5k citations Jacques‐Donald Tournier, Fernando Calamante et al. NeuroImage profile →
  2. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution
    2004 1.2k citations Jacques‐Donald Tournier, Fernando Calamante et al. NeuroImage profile →
  3. MRtrix: Diffusion tractography in crossing fiber regions
    2012 996 citations Jacques‐Donald Tournier, Fernando Calamante et al. profile →
  4. Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information
    2012 780 citations Jacques‐Donald Tournier, Fernando Calamante et al. NeuroImage profile →
  5. Gadolinium deposition in the brain: summary of evidence and recommendations
    2017 556 citations Fernando Calamante et al. profile →
  6. SIFT: Spherical-deconvolution informed filtering of tractograms
    2012 514 citations Robert E. Smith, Jacques‐Donald Tournier et al. NeuroImage profile →
  7. Measuring Cerebral Blood Flow Using Magnetic Resonance Imaging Techniques
    1999 483 citations Fernando Calamante et al. profile →
  8. Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data
    2008 438 citations Jacques‐Donald Tournier, Chun‐Hung Yeh et al. NeuroImage profile →
  9. SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography
    2015 437 citations Jacques‐Donald Tournier, Fernando Calamante et al. NeuroImage profile →
  10. White matter fiber tractography: why we need to move beyond DTI
    2013 328 citations Shawna Farquharson, Jacques‐Donald Tournier et al. Journal of neurosurgery profile →

Peers

Fernando Calamante
Robert C. McKinstry United States
Joshua S. Shimony United States
Van J. Wedeen United States
Wen‐Yih Isaac Tseng Taiwan
Jacques‐Donald Tournier United Kingdom
Sheng‐Kwei Song United States
Jiangyang Zhang United States
Cyril Poupon France
Alexander Leemans Netherlands
Jean‐François Mangin France
Robert C. McKinstry United States
Fernando Calamante
Citations per year, relative to Fernando Calamante Fernando Calamante (= 1×) peers Robert C. McKinstry

Countries citing papers authored by Fernando Calamante

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Calamante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Calamante

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

All Works

20 of 20 papers shown
1.
Liu, Tianming, et al.. (2025). Voxel-Level Brain States Prediction Using Swin Transformer. IEEE Journal of Biomedical and Health Informatics. 29(12). 8719–8726.
2.
Attyé, Arnaud, Félix Renard, Alexandre Krainik, et al.. (2024). Data-driven normative values based on generative manifold learning for quantitative MRI. Scientific Reports. 14(1). 4 indexed citations
3.
Naismith, Sharon L., et al.. (2024). A novel method for PET connectomics guided by fibre‐tracking MRI: Application to Alzheimer's disease. Human Brain Mapping. 45(4). e26659–e26659. 3 indexed citations
4.
Maller, Jerome J., Yael Barnett, Benjamin Jonker, et al.. (2023). Tremor suppression following treatment with MRgFUS: skull density ratio consistency and degree of posterior dentatorubrothalamic tract lesioning predicts long-term clinical outcomes in essential tremor. Frontiers in Neurology. 14. 1129430–1129430. 5 indexed citations
5.
6.
DeMayo, Marilena M., Jinglei Lv, Shantel L. Duffy, et al.. (2022). Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation. Brain Connectivity. 13(3). 143–153. 1 indexed citations
7.
Calamante, Fernando, Oren Civier, Marilena M. DeMayo, et al.. (2021). Investigating white matter structure in social anxiety disorder using fixel-based analysis. Journal of Psychiatric Research. 143. 30–37. 5 indexed citations
8.
Lv, Jinglei, Maria A. Di Biase, Robin Cash, et al.. (2020). Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort. Molecular Psychiatry. 26(7). 3512–3523. 86 indexed citations
9.
Connelly, Alan, et al.. (2020). Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis. NeuroImage. 225. 117505–117505. 25 indexed citations
10.
Biase, Maria A. Di, Vanessa Cropley, Luca Cocchi, et al.. (2018). Linking Cortical and Connectional Pathology in Schizophrenia. Schizophrenia Bulletin. 45(4). 911–923. 17 indexed citations
11.
Yeh, Chun‐Hung, Robert E. Smith, Xiaoyun Liang, Fernando Calamante, & Alan Connelly. (2016). Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics. NeuroImage. 142. 150–162. 62 indexed citations
12.
Liang, Xiaoyun, Alan Connelly, & Fernando Calamante. (2015). Voxel-Wise Functional Connectomics Using Arterial Spin Labeling Functional Magnetic Resonance Imaging: The Role of Denoising. Brain Connectivity. 5(9). 543–553. 22 indexed citations
13.
Richards, Kay, Fernando Calamante, Jacques‐Donald Tournier, et al.. (2014). Mapping somatosensory connectivity in adult mice using diffusion MRI tractography and super-resolution track density imaging. NeuroImage. 102. 381–392. 11 indexed citations
14.
Farquharson, Shawna, Jacques‐Donald Tournier, Fernando Calamante, et al.. (2013). White matter fiber tractography: why we need to move beyond DTI. Journal of neurosurgery. 118(6). 1367–1377. 328 indexed citations breakdown →
15.
Calamante, Fernando. (2013). Arterial input function in perfusion MRI: A comprehensive review. Progress in Nuclear Magnetic Resonance Spectroscopy. 74. 1–32. 160 indexed citations
16.
Smith, Robert E., Jacques‐Donald Tournier, Fernando Calamante, & Alan Connelly. (2012). SIFT: Spherical-deconvolution informed filtering of tractograms. NeuroImage. 67. 298–312. 514 indexed citations breakdown →
17.
Connelly, Alan, et al.. (2000). Case study on diffusion and perfusion magnetic resonance imaging in childhood stroke. UCL Discovery (University College London). 1 indexed citations
18.
Calamante, Fernando, David A. Porter, David G. Gadian, & Alan Connelly. (1999). Correction for eddy current induced Bo shifts in diffusion-weighted echo-planar imaging. Magnetic Resonance in Medicine. 41(1). 95–102. 50 indexed citations
19.
Calamante, Fernando, David A. Porter, David G. Gadian, & Alan Connelly. (1999). Correction for eddy current induced Bo shifts in diffusion‐weighted echo‐planar imaging. Magnetic Resonance in Medicine. 41(1). 95–102.
20.
Porter, David A., Fernando Calamante, David G. Gadian, & Alan Connelly. (1999). The effect of residual Nyquist ghost in quantitative echo-planar diffusion imaging. Magnetic Resonance in Medicine. 42(2). 385–392. 27 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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