Lynne J. Williams

13.3k total citations · 3 hit papers
24 papers, 9.3k citations indexed

About

Lynne J. Williams is a scholar working on Cognitive Neuroscience, Food Science and Analytical Chemistry. According to data from OpenAlex, Lynne J. Williams has authored 24 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Food Science and 5 papers in Analytical Chemistry. Recurrent topics in Lynne J. Williams's work include Functional Brain Connectivity Studies (6 papers), Sensory Analysis and Statistical Methods (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Lynne J. Williams is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Sensory Analysis and Statistical Methods (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Lynne J. Williams collaborates with scholars based in Canada, United States and United Kingdom. Lynne J. Williams's co-authors include Hervé Abdi, Anjali Krishnan, Anthony R. McIntosh, D. Valentin, Joseph Dunlop, Sylvain Moreno, Stefanie Hutka, Erin J. White, Brian Levine and Daniela J. Palombo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Lynne J. Williams

24 papers receiving 9.1k citations

Hit Papers

Principal component analysis 2010 2026 2015 2020 2010 2010 2013 2.0k 4.0k 6.0k
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. Principal component analysis
    2010 7.2k citations Hervé Abdi, Lynne J. Williams Wiley Interdisciplinary Reviews Computational Statistics profile →
  2. Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
    2010 933 citations Anjali Krishnan, Lynne J. Williams et al. NeuroImage profile →
  3. Multiple factor analysis: principal component analysis for multitable and multiblock data sets
    2013 358 citations Hervé Abdi, Lynne J. Williams et al. Wiley Interdisciplinary Reviews Computational Statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lynne J. Williams Canada 14 1.2k 1.2k 892 818 668 24 9.3k
David C. Hoaglin United States 47 931 0.8× 1.3k 1.1× 655 0.7× 435 0.5× 388 0.6× 165 15.5k
Gareth James United States 27 440 0.4× 2.8k 2.5× 910 1.0× 728 0.9× 475 0.7× 60 13.8k
Mark Kramer United States 46 4.3k 3.5× 1.2k 1.1× 664 0.7× 378 0.5× 406 0.6× 250 10.7k
Sabine Landau United Kingdom 63 2.2k 1.8× 1.7k 1.5× 1.1k 1.2× 561 0.7× 253 0.4× 215 20.1k
J. O. Ramsay Canada 42 664 0.5× 2.2k 2.0× 734 0.8× 709 0.9× 433 0.6× 126 11.7k
Xiang Li China 51 1.5k 1.2× 2.1k 1.8× 833 0.9× 2.2k 2.7× 724 1.1× 409 11.3k
Bernard W. Silverman United Kingdom 45 586 0.5× 2.7k 2.4× 1.1k 1.3× 1.8k 2.3× 479 0.7× 104 15.6k
Giuseppe Jurman Italy 28 343 0.3× 2.3k 2.0× 1.7k 1.9× 619 0.8× 563 0.8× 97 9.9k
Hervé Abdi United States 48 4.1k 3.4× 1.6k 1.4× 1.3k 1.4× 2.4k 3.0× 999 1.5× 174 16.9k
Zigang Lu China 6 334 0.3× 2.1k 1.8× 522 0.6× 797 1.0× 423 0.6× 17 8.8k

Countries citing papers authored by Lynne J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Lynne J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynne J. Williams. 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 Lynne J. Williams. The network helps show where Lynne J. Williams may publish in the future.

Co-authorship network of co-authors of Lynne J. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Lynne J. Williams. A scholar is included among the top collaborators of Lynne J. Williams 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 Lynne J. Williams. Lynne J. Williams 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.
Williams, Lynne J., et al.. (2023). Defence context for the UK’s Defence Engagement (Health). BMJ Military Health. 170(e1). e55–e58. 1 indexed citations
2.
Holman, Parker J., Caroline T. Nguyen, Camilla Dawson, et al.. (2022). Exploring salivary biomarkers and swallowing perceptions in Sjogren's syndrome: A case–control feasibility study. SHILAP Revista de lepidopterología. 2(3). 129–140. 2 indexed citations
3.
Williams, Lynne J., et al.. (2022). Comparison of CPU and GPU bayesian estimates of fibre orientations from diffusion MRI. PLoS ONE. 17(4). e0252736–e0252736. 3 indexed citations
4.
Williams, Lynne J., Bruce Björnson, Ursula Brain, et al.. (2021). Prenatal antidepressant exposure and sex differences in neonatal corpus callosum microstructure. Developmental Psychobiology. 63(6). e22125–e22125. 10 indexed citations
5.
Reh, Rebecca K., Lynne J. Williams, Rebecca M. Todd, & Lawrence M. Ward. (2020). Warped rhythms: Epileptic activity during critical periods disrupts the development of neural networks for human communication. Behavioural Brain Research. 399. 113016–113016. 4 indexed citations
6.
Williams, Lynne J., et al.. (2020). Advanced neuroimaging: A window into the neural correlates of fetal programming related to prenatal exposure to maternal depression and SSRIs. Seminars in Perinatology. 44(3). 151223–151223. 9 indexed citations
7.
Williams, Lynne J., Angela Müller, Hervé Abdi, et al.. (2019). Hub distribution of the brain functional networks of newborns prenatally exposed to maternal depression and SSRI antidepressants. Depression and Anxiety. 36(8). 753–765. 16 indexed citations
8.
Williams, Lynne J., Naznin Virji‐Babul, Bruce Björnson, et al.. (2018). Alterations in Resting-State Networks Following In Utero Selective Serotonin Reuptake Inhibitor Exposure in the Neonatal Brain. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(1). 39–49. 20 indexed citations
9.
White, Erin J., Stefanie Hutka, Lynne J. Williams, & Sylvain Moreno. (2013). Learning, neural plasticity and sensitive periods: implications for language acquisition, music training and transfer across the lifespan. Frontiers in Systems Neuroscience. 7. 90–90. 88 indexed citations
10.
Abdi, Hervé, et al.. (2012). STATIS and DISTATIS: optimum multitable principal component analysis and three way metric multidimensional scaling. Wiley Interdisciplinary Reviews Computational Statistics. 4(2). 124–167. 99 indexed citations
11.
Abdi, Hervé & Lynne J. Williams. (2012). Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression. Methods in molecular biology. 930. 549–579. 293 indexed citations
12.
Williams, Lynne J., Joseph Dunlop, & Hervé Abdi. (2012). Effect of Age on Variability in the Production of Text-Based Global Inferences. PLoS ONE. 7(5). e36161–e36161. 7 indexed citations
13.
Palombo, Daniela J., Lynne J. Williams, Hervé Abdi, & Brian Levine. (2012). The survey of autobiographical memory (SAM): A novel measure of trait mnemonics in everyday life. Cortex. 49(6). 1526–1540. 81 indexed citations
14.
Abdi, Hervé, Lynne J. Williams, Andrew C. Connolly, et al.. (2012). Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): How to Assign Scans to Categories without Using Spatial Normalization. Computational and Mathematical Methods in Medicine. 2012. 1–15. 15 indexed citations
15.
Abdi, Hervé, Lynne J. Williams, Derek Beaton, et al.. (2012). Analysis of Regional Cerebral Blood Flow Data to Discriminate among Alzheimer's Disease, Frontotemporal Dementia, and Elderly Controls: A Multi-Block Barycentric Discriminant Analysis (MUBADA) Methodology. Journal of Alzheimer s Disease. 31(s3). S189–S201. 22 indexed citations
16.
Krishnan, Anjali, Lynne J. Williams, Anthony R. McIntosh, & Hervé Abdi. (2010). Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review. NeuroImage. 56(2). 455–475. 933 indexed citations breakdown →
17.
Williams, Lynne J., et al.. (2010). A Tutorial on Multiblock Discriminant Correspondence Analysis (MUDICA): A New Method for Analyzing Discourse Data From Clinical Populations. Journal of Speech Language and Hearing Research. 53(5). 1372–1393. 31 indexed citations
18.
19.
Olness, Gloria Streit, et al.. (2005). Holistic assessment of narrative quality: A social validation study. Aphasiology. 19(3-5). 251–262. 19 indexed citations
20.
Williams, Lynne J.. (1984). Cell histograms: new trends in data interpretation and cell classification. 1(3). 189–197. 11 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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