Nitin Williams

2.5k total citations · 1 hit paper
20 papers, 700 citations indexed

About

Nitin Williams is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nitin Williams has authored 20 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 4 papers in Signal Processing and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nitin Williams's work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Nitin Williams is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Nitin Williams collaborates with scholars based in United Kingdom, Finland and Italy. Nitin Williams's co-authors include Richard N. Henson, Jason R. Taylor, Lorraine K. Tyler, Cam‐CAN, Meredith A. Shafto, Marie Dixon, Tibor Auer, Rhodri Cusack, James B. Rowe and Slawomir J. Nasuto and has published in prestigious journals such as NeuroImage, Brain and Scientific Reports.

In The Last Decade

Nitin Williams

20 papers receiving 689 citations

Hit Papers

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Williams United Kingdom 8 543 228 76 53 41 20 700
Marie Dixon United Kingdom 3 594 1.1× 279 1.2× 93 1.2× 77 1.5× 50 1.2× 3 777
Mehdi Rahim France 8 476 0.9× 216 0.9× 129 1.7× 89 1.7× 40 1.0× 14 692
Daniel Birman United States 5 449 0.8× 203 0.9× 83 1.1× 64 1.2× 27 0.7× 5 633
Ryan V. Raut United States 10 606 1.1× 231 1.0× 44 0.6× 81 1.5× 30 0.7× 14 705
Frank Morales Cuba 4 750 1.4× 333 1.5× 80 1.1× 78 1.5× 30 0.7× 8 1.0k
Oualid Benkarim Canada 17 786 1.4× 447 2.0× 88 1.2× 81 1.5× 41 1.0× 34 1.0k
Samir Das Canada 11 608 1.1× 246 1.1× 150 2.0× 80 1.5× 26 0.6× 25 966
Xijia Xu China 13 492 0.9× 254 1.1× 98 1.3× 121 2.3× 53 1.3× 41 655
Bhim M. Adhikari United States 19 644 1.2× 156 0.7× 91 1.2× 138 2.6× 45 1.1× 54 942

Countries citing papers authored by Nitin Williams

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Williams. A scholar is included among the top collaborators of Nitin 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 Nitin Williams. Nitin 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, Nitin, Sheng H. Wang, Gabriele Arnulfo, et al.. (2023). Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions. NeuroImage. 272. 120036–120036. 6 indexed citations
2.
Williams, Nitin, et al.. (2023). Chunking up speech in real time: linguistic predictors and cognitive constraints. Language and Cognition. 15(3). 453–479. 4 indexed citations
3.
Williams, Nitin, Felix Siebenhühner, Satu Palva, et al.. (2023). The influence of inter-regional delays in generating large-scale brain networks of phase synchronization. NeuroImage. 279. 120318–120318. 3 indexed citations
4.
Williams, Nitin, et al.. (2023). Discrete Ricci curvatures capture age-related changes in human brain functional connectivity networks. Frontiers in Aging Neuroscience. 15. 1120846–1120846. 3 indexed citations
5.
Williams, Nitin, et al.. (2022). Perceptual chunking of spontaneous speech: Validating a new method with non-native listeners. Research Methods in Applied Linguistics. 1(2). 100012–100012. 2 indexed citations
6.
Williams, Nitin, et al.. (2022). Event-related responses reflect chunk boundaries in natural speech. NeuroImage. 255. 119203–119203. 5 indexed citations
7.
Williams, Nitin, et al.. (2022). Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder. Scientific Reports. 12(1). 8295–8295. 9 indexed citations
8.
Williams, Nitin. (2021). Modules in Human Electrophysiological Connectomes of Phase-Synchronization. Data Archiving and Networked Services (DANS). 1. 1 indexed citations
9.
Williams, Nitin, Gabriele Arnulfo, Sheng H. Wang, et al.. (2018). Comparison of Methods to Identify Modules in Noisy or Incomplete Brain Networks. Brain Connectivity. 9(2). 128–143. 7 indexed citations
10.
Williams, Nitin, Ian Daly, & Slawomir J. Nasuto. (2018). Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data. Frontiers in Computational Neuroscience. 12. 76–76. 16 indexed citations
11.
Sami, Saber, Nitin Williams, Laura E. Hughes, et al.. (2018). Neurophysiological signatures of Alzheimer’s disease and frontotemporal lobar degeneration: pathology versus phenotype. Brain. 141(8). 2500–2510. 48 indexed citations
12.
Williams, Nitin, Slawomir J. Nasuto, & Douglas Saddy. (2015). Method for exploratory cluster analysis and visualisation of single-trial ERP ensembles. Journal of Neuroscience Methods. 250. 22–33. 9 indexed citations
13.
Taylor, Jason R., Nitin Williams, Rhodri Cusack, et al.. (2015). The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. NeuroImage. 144(Pt B). 262–269. 396 indexed citations breakdown →
14.
Tsvetanov, Kamen A., Richard N. Henson, Lorraine K. Tyler, et al.. (2015). The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults. Human Brain Mapping. 36(6). 2248–2269. 134 indexed citations
15.
Hwang, Faustina, et al.. (2013). Effects of Target Expansion on Selection Performance in Older Computer Users. ACM Transactions on Accessible Computing. 5(1). 1–26. 5 indexed citations
16.
Hwang, Faustina, et al.. (2013). Effects of Target Expansion on Selection Performance in Older Computer Users. ACM Transactions on Accessible Computing. 5(1). 1–26. 19 indexed citations
17.
Williams, Nitin, Slawomir J. Nasuto, & Douglas Saddy. (2011). Evaluation of Empirical Mode Decomposition for Event-Related Potential Analysis. EURASIP Journal on Advances in Signal Processing. 2011(1). 24 indexed citations
18.
Daly, Ian, Nitin Williams, Slawomir J. Nasuto, Kevin Warwick, & Douglas Saddy. (2010). Single trial BCI operation via Wackermann parameters. CentAUR (University of Reading). 409–414. 1 indexed citations
19.
Williams, Nitin, et al.. (2009). ERP classification using empirical mode decomposition. Acta Pathologica Japonica. 37(5). 843–52. 2 indexed citations
20.
Hwang, Faustina, et al.. (2008). Bringing the target to the cursor. CentAUR (University of Reading). 2775–2780. 6 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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