Frederik Barkhof
About
In The Last Decade
Frederik Barkhof
1.4k papers receiving 87.0k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Pathology and Forensic Medicine 35.5k
- Radiology, Nuclear Medicine and Imaging 21.0k
- Neurology 20.2k
- Cognitive Neuroscience 17.7k
- Psychiatry and Mental health 17.3k
Countries citing papers authored by Frederik Barkhof
This map shows the geographic impact of Frederik Barkhof'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 Frederik Barkhof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik Barkhof more than expected).
Fields of papers citing papers by Frederik Barkhof
This network shows the impact of papers produced by Frederik Barkhof. 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 Frederik Barkhof. The network helps show where Frederik Barkhof may publish in the future.
Co-authorship network of co-authors of Frederik Barkhof
This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Barkhof. A scholar is included among the top collaborators of Frederik Barkhof 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 Frederik Barkhof. Frederik Barkhof is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available models | Neuroimage Reports | Len Bos, James H. Cole et al. | 0 |
| 2 | Enlarged cavum septum pellucidum as a neuroimaging signature of head impact exposure | Brain Communications | Vikram Venkatraghavan, Wiesje M. van der Flier et al. | 1 |
| 3 | Real‐World Comparison of High‐Efficacy Versus Non‐High‐Efficacy Therapies in Multiple Sclerosis | Annals of Clinical and Translational Neurology | Marcello Moccia, Alessia Bianchi et al. | 0 |
| 4 | The Centiloid scale: guidance on clinical context of use from the AMYPAD Consortium | Alzheimer s & Dementia | Ariane Bollack, Lyduine E. Collij et al. | 1 |
| 5 | Rationale and design of the BeyeOMARKER study: prospective evaluation of blood- and eye-based biomarkers for early detection of Alzheimer’s disease pathology in the eye clinic | Alzheimer s Research & Therapy | Colin Groot, H. Stevie Tan et al. | 4 |
| 6 | Predicting Cognitive Decline in Amyloid-Positive Patients With Mild Cognitive Impairment or Mild Dementia | Neurology | Jeroen Hoogland, Leonie N.C. Visser et al. | 7 |
| 7 | Assessment of Microvascular Disease in Heart and Brain by MRI: Application in Heart Failure with Preserved Ejection Fraction and Cerebral Small Vessel Disease | Medicina | Walter H. Backes, Josephine Barnes et al. | 6 |
| 8 | Interpretable machine learning for dementia: A systematic review | Alzheimer s & Dementia | Sophie Martin, Frederik Barkhof et al. | 69 |
| 9 | Early imaging predictors of long-term outcomes in relapse-onset multiple sclerosis | Brain | Wallace Brownlee, Dan Altmann et al. | 116 |
| 10 | Three-Tesla MRI does not improve the diagnosis of multiple sclerosis | Neurology | Marloes Hagens, Jessica Burggraaff et al. | 31 |
| 11 | Structural MRI correlates of cognitive impairment in patients with multiple sclerosis: A Multicenter Study | UCL Discovery (University College London) | Paolo Preziosa, Maria A. Rocca et al. | 4 |
| 12 | Spinal cord lesions in patients with clinically isolated syndrome | Neurology | Madeleine H Sombekke, Mike P. Wattjes et al. | 105 |
| 13 | Serum 25-hydroxyvitamin D concentrations among patients in BENEFIT predicts conversion to multiple sclerosis, MRI lesions, and brain volume loss | UCL Discovery (University College London) | Alberto Ascherio, Kassandra L. Munger et al. | 2 |
| 14 | Imaging the tip of the iceberg: visualization of cortical lesions in multiple sclerosis | Multiple Sclerosis Journal | Alexandra Seewann, Hugo Vrenken et al. | 88 |
| 15 | Consensus recommendations for MS cortical lesion scoring using double inversion recovery MRI | Neurology | Jeroen J.G. Geurts, Stefan D. Roosendaal et al. | 237 |
| 16 | Long-term effect of early treatment with interferon-beta-1b after a first clinical event suggestive of multiple sclerosis: 8-year observational extension of the phase 3 BENEFIT trial | UCL Discovery (University College London) | Ludwig Kappos, Xavier Montalbán et al. | 1 |
| 17 | Ibudilast in relapsing-remitting multiple sclerosis | Neurology | Frederik Barkhof, Hanneke E. Hulst et al. | 109 |
| 18 | MRI criteria for MS in patients with clinically isolated syndromes | Neurology | Xavier Montalbán, Mar Tintoré et al. | 179 |
| 19 | Betaferon in newly emerging multiple sclerosis for initial treatment (BENEFIT): First results | UCL Discovery (University College London) | Ludwig Kappos, C.H. Polman et al. | 3 |
| 20 | T1 HYPOINTENSITIES AND AXONAL LOSS | Neuroimaging Clinics of North America | Frederik Barkhof, Giorgos B. Karas et al. | 35 |
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.