Olivier Salvado

14.8k total citations · 3 hit papers
254 papers, 9.1k citations indexed

About

Olivier Salvado is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Olivier Salvado has authored 254 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Radiology, Nuclear Medicine and Imaging, 77 papers in Psychiatry and Mental health and 71 papers in Physiology. Recurrent topics in Olivier Salvado's work include Dementia and Cognitive Impairment Research (76 papers), Alzheimer's disease research and treatments (68 papers) and Advanced Neuroimaging Techniques and Applications (53 papers). Olivier Salvado is often cited by papers focused on Dementia and Cognitive Impairment Research (76 papers), Alzheimer's disease research and treatments (68 papers) and Advanced Neuroimaging Techniques and Applications (53 papers). Olivier Salvado collaborates with scholars based in Australia, United States and France. Olivier Salvado's co-authors include Pierrick Bourgeat, Victor L. Villemagne, Colin L. Masters, Christopher C. Rowe, Ralph N. Martins, David Ames, Kathryn A. Ellis, Jürgen Fripp, Cassandra Szoeke and Paul Maruff and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Olivier Salvado

246 papers receiving 9.0k citations

Hit Papers

3 papers align trajectories

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.

Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study

2013 1.6k citations Victor L. Villemagne, Samantha C. Burnham et al. profile →
Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease

2011 638 citations Victor L. Villemagne, Kerryn E. Pike et al. profile →
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images

2011 434 citations David Raffelt, Stephen Rose et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Olivier Salvado Australia	45	4.0k	3.7k	2.8k	2.0k	1.2k	254	9.1k
Pierrick Bourgeat Australia	37	3.7k 0.9×	3.4k 0.9×	1.6k 0.6×	1.6k 0.8×	1.1k 1.0×	229	7.2k
Josephine Barnes United Kingdom	46	2.3k 0.6×	3.0k 0.8×	1.9k 0.7×	2.2k 1.1×	1.2k 1.0×	129	7.3k
Howard Aizenstein United States	64	3.4k 0.9×	5.4k 1.5×	2.8k 1.0×	5.1k 2.5×	1.7k 1.4×	340	15.1k
Henry Rusinek United States	65	4.0k 1.0×	3.8k 1.0×	6.1k 2.1×	2.6k 1.3×	1.8k 1.5×	249	15.4k
Eric Westman Sweden	56	3.5k 0.9×	4.1k 1.1×	1.9k 0.7×	3.0k 1.5×	1.8k 1.5×	288	9.5k
Lei Wang United States	51	1.5k 0.4×	2.6k 0.7×	2.4k 0.9×	3.3k 1.6×	1.0k 0.8×	293	8.8k
Wei Wen Australia	56	1.7k 0.4×	3.4k 0.9×	2.4k 0.9×	2.9k 1.4×	1.3k 1.1×	322	10.6k
Hiroshi Matsuda Japan	55	1.9k 0.5×	3.5k 0.9×	2.8k 1.0×	3.4k 1.7×	1.4k 1.2×	414	10.0k
Yun Zhou United States	43	1.8k 0.5×	1.9k 0.5×	2.2k 0.8×	1.5k 0.8×	570 0.5×	170	7.4k
David A. Wolk United States	56	4.1k 1.0×	4.6k 1.3×	1.9k 0.7×	3.5k 1.7×	1.8k 1.5×	272	10.3k

Countries citing papers authored by Olivier Salvado

Since Specialization

Citations

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

Fields of papers citing papers by Olivier Salvado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Salvado

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nguyen, Kien, et al.. (2025). Physics-informed Machine Learning for Medical Image Analysis. ACM Computing Surveys. 58(4). 1–35.

Paproki, Anthony, Olivier Salvado, & Clinton Fookes. (2024). Synthetic Data for Deep Learning in Computer Vision & Medical Imaging: A Means to Reduce Data Bias. ACM Computing Surveys. 56(11). 1–37. 11 indexed citations

Wang, Dadong, et al.. (2024). Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation. Scientific Reports. 14(1). 28983–28983. 3 indexed citations

Gournay, Frédéric de, et al.. (2021). CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. Neural Information Processing Systems. 34. 5 indexed citations

Mito, Remika, Thijs Dhollander, Ying Xia, et al.. (2020). In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data. NeuroImage Clinical. 28. 102479–102479. 19 indexed citations

Dang, Christa, Karra Harrington, Yen Ying Lim, et al.. (2018). Superior Memory Reduces 8-year Risk of Mild Cognitive Impairment and Dementia But Not Amyloid β-Associated Cognitive Decline in Older Adults. Archives of Clinical Neuropsychology. 34(5). 585–598. 21 indexed citations

Harrington, Karra, Yen Ying Lim, Kathryn A. Ellis, et al.. (2018). Amyloid burden and incident depressive symptoms in preclinical Alzheimer’s disease. Journal of Affective Disorders. 229. 269–274. 26 indexed citations

Porter, Tenielle, Samantha C. Burnham, Greg Savage, et al.. (2018). A Polygenic Risk Score Derived From Episodic Memory Weighted Genetic Variants Is Associated With Cognitive Decline in Preclinical Alzheimer’s Disease. Frontiers in Aging Neuroscience. 10. 423–423. 20 indexed citations

Bourgeat, Pierrick, Vincent Doré, Jürgen Fripp, et al.. (2018). Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL. NeuroImage. 183. 387–393. 89 indexed citations

10.

Harrington, Karra, Christa Dang, Yen Ying Lim, et al.. (2018). The effect of preclinical Alzheimer's disease on age-related changes in intelligence in cognitively normal older adults. Intelligence. 70. 22–29. 13 indexed citations

11.

Chandra, Shekhar S., Craig Engstrom, Jürgen Fripp, et al.. (2018). Local contrast‐enhanced MR images via high dynamic range processing. Magnetic Resonance in Medicine. 80(3). 1206–1218. 1 indexed citations

12.

Burnham, Samantha C., Pierrick Bourgeat, Vincent Doré, et al.. (2017). [P4–465]: IMPLEMENTING THE ATN CLASSIFICATION IN AIBL. Alzheimer s & Dementia. 13(7S_Part_31).

13.

Lim, Yen Ying, Yen Ying Lim, Stephanie R. Rainey‐Smith, et al.. (2017). BDNF Val66Met in preclinical Alzheimer's disease is associated with short-term changes in episodic memory and hippocampal volume but not serum mBDNF. International Psychogeriatrics. 29(11). 1825–1834. 16 indexed citations

14.

Lim, Yen Ying, Victor L. Villemagne, Simon M. Laws, et al.. (2016). Performance on the Cogstate Brief Battery Is Related to Amyloid Levels and Hippocampal Volume in Very Mild Dementia. Journal of Molecular Neuroscience. 60(3). 362–370. 12 indexed citations

15.

Yates, Paul, Patricia Desmond, Pramit M. Phal, et al.. (2014). Incidence of cerebral microbleeds in preclinical Alzheimer disease. Neurology. 82(14). 1266–1273. 108 indexed citations

16.

Rowe, Chris C., Vincent Doré, Pierrick Bourgeat, et al.. (2014). HIGHER AB BURDEN IN HEALTHY APOE-E4 CARRIERS IS ASSOCIATED WITH SUBJECTIVE MEMORY COMPLAINTS: RESULTS FROM THE FLUTEMETAMOL AND PIB AIBL COHORTS. Internal Medicine Journal. 44. 15–15. 1 indexed citations

17.

Mitra, Jhimli, Leeanne M. Carey, Jürgen Fripp, et al.. (2014). Predicting poststroke depression from structural brain connectivity. International Journal of Stroke. 9. 44–44. 1 indexed citations

18.

Shen, Kaikai, Stephen Rose, Jürgen Fripp, et al.. (2014). Investigating brain connectivity heritability in a twin study using diffusion imaging data. QUT ePrints (Queensland University of Technology). 1 indexed citations

19.

Villain, Nicolas, Gaël Chételat, Blandine Grassiot, et al.. (2012). Regional dynamics of amyloid-β deposition in healthy elderly, mild cognitive impairment and Alzheimer’s disease: a voxelwise PiB–PET longitudinal study. Brain. 135(7). 2126–2139. 195 indexed citations

20.

Villemagne, Victor L., Keyla Perez, Kerryn E. Pike, et al.. (2010). Blood-Borne Amyloid-β Dimer Correlates with Clinical Markers of Alzheimer's Disease. Journal of Neuroscience. 30(18). 6315–6322. 62 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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