Lionel Barnett

5.7k total citations · 3 hit papers
32 papers, 3.5k citations indexed

About

Lionel Barnett is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Lionel Barnett has authored 32 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 8 papers in Statistical and Nonlinear Physics and 5 papers in Molecular Biology. Recurrent topics in Lionel Barnett's work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (13 papers) and Complex Systems and Time Series Analysis (4 papers). Lionel Barnett is often cited by papers focused on Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (13 papers) and Complex Systems and Time Series Analysis (4 papers). Lionel Barnett collaborates with scholars based in United Kingdom, Australia and Canada. Lionel Barnett's co-authors include Anil K. Seth, Adam B. Barrett, Terry Bossomaier, Michael Harré, Joseph T. Lizier, Seth Bullock, Ezequiel A. Di Paolo, Suresh Muthukumaraswamy, Robin Carhart‐Harris and Simone Sarasso and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and NeuroImage.

In The Last Decade

Lionel Barnett

30 papers receiving 3.5k citations

Hit Papers

Granger Causality and Tra... 2009 2026 2014 2020 2009 2013 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lionel Barnett United Kingdom 19 2.0k 484 481 450 314 32 3.5k
Sebastiano Stramaglia Italy 28 1.7k 0.8× 405 0.8× 330 0.7× 404 0.9× 123 0.4× 143 3.0k
Adam B. Barrett United Kingdom 27 2.6k 1.3× 353 0.7× 348 0.7× 361 0.8× 394 1.3× 46 4.5k
Joseph T. Lizier Australia 35 1.8k 0.9× 924 1.9× 422 0.9× 678 1.5× 275 0.9× 90 3.8k
Milan Paluš Czechia 35 1.8k 0.9× 1.1k 2.4× 1.1k 2.3× 483 1.1× 320 1.0× 95 4.4k
Steven B. Lowen United States 31 1.2k 0.6× 744 1.5× 508 1.1× 213 0.5× 426 1.4× 68 3.1k
Daniele Marinazzo Belgium 41 3.9k 1.9× 477 1.0× 383 0.8× 484 1.1× 346 1.1× 171 5.6k
Viola Priesemann Germany 25 1.9k 1.0× 402 0.8× 329 0.7× 288 0.6× 585 1.9× 70 3.2k
Klaus Linkenkaer‐Hansen Netherlands 35 4.8k 2.4× 441 0.9× 486 1.0× 249 0.6× 748 2.4× 73 5.6k
Björn Schelter Germany 24 2.1k 1.0× 193 0.4× 205 0.4× 233 0.5× 421 1.3× 60 2.8k
Michael Wibral Germany 41 5.2k 2.6× 495 1.0× 446 0.9× 480 1.1× 1.2k 3.7× 97 6.9k

Countries citing papers authored by Lionel Barnett

Since Specialization
Citations

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

Fields of papers citing papers by Lionel Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lionel Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Barnett. A scholar is included among the top collaborators of Lionel Barnett 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 Lionel Barnett. Lionel Barnett 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.
Novelli, Leonardo, Lionel Barnett, Anil K. Seth, & Adeel Razi. (2025). Minimum‐Phase Property of the Hemodynamic Response Function, and Implications for Granger Causality in fMRI. Human Brain Mapping. 46(10). e70285–e70285.
2.
Barnett, Lionel, et al.. (2025). Capturing the emergent dynamical structure in biophysical neural models. PLoS Computational Biology. 21(5). e1012572–e1012572.
3.
Barnett, Lionel & Anil K. Seth. (2023). Dynamical independence: Discovering emergent macroscopic processes in complex dynamical systems. Physical review. E. 108(1). 14304–14304. 11 indexed citations
4.
Brown, Joshua M., Terry Bossomaier, & Lionel Barnett. (2022). Information flow in first-order potts model phase transition. Scientific Reports. 12(1). 15145–15145. 1 indexed citations
5.
Barnett, Lionel, Suresh Muthukumaraswamy, Robin Carhart‐Harris, & Anil K. Seth. (2019). Decreased directed functional connectivity in the psychedelic state. NeuroImage. 209. 116462–116462. 51 indexed citations
6.
Bossomaier, Terry, et al.. (2018). Information flow around stock market collapse. Accounting and Finance. 58(S1). 45–58. 12 indexed citations
7.
Barnett, Lionel & Anil K. Seth. (2017). Detectability of Granger causality for subsampled continuous-time neurophysiological processes. Sussex Research Online (University of Sussex). 48 indexed citations
8.
Schartner, Michael, Andrea Pigorini, Steve A. Gibbs, et al.. (2017). Global and local complexity of intracranial EEG decreases during NREM sleep. Neuroscience of Consciousness. niw022–niw022. 92 indexed citations
9.
Barnett, Lionel & Anil K. Seth. (2015). Granger causality for state-space models. Physical Review E. 91(4). 40101–40101. 122 indexed citations
10.
Barrett, Adam B. & Lionel Barnett. (2013). Granger causality is designed to measure effect, not mechanism. Frontiers in Neuroinformatics. 7. 6–6. 50 indexed citations
11.
Barnett, Lionel & Anil K. Seth. (2013). The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference. Journal of Neuroscience Methods. 223. 50–68. 681 indexed citations breakdown →
12.
Barnett, Lionel, Joseph T. Lizier, Michael Harré, Anil K. Seth, & Terry Bossomaier. (2013). Information Flow in a Kinetic Ising Model Peaks in the Disordered Phase. Physical Review Letters. 111(17). 74 indexed citations
13.
Barnett, Lionel & Anil K. Seth. (2011). Behaviour of Granger causality under filtering: Theoretical invariance and practical application. Journal of Neuroscience Methods. 201(2). 404–419. 131 indexed citations
14.
Barnett, Lionel, Christopher L. Buckley, & Seth Bullock. (2011). Neural complexity: A graph theoretic interpretation. Physical Review E. 83(4). 41906–41906. 7 indexed citations
15.
Barrett, Adam B., Lionel Barnett, & Anil K. Seth. (2010). Multivariate Granger causality and generalized variance. Physical Review E. 81(4). 41907–41907. 173 indexed citations
16.
Buckley, Christopher L., Seth Bullock, & Lionel Barnett. (2010). Spatially embedded dynamics and complexity. Complexity. 16(2). 29–34. 2 indexed citations
17.
Bullock, Seth, Lionel Barnett, & Ezequiel A. Di Paolo. (2010). Spatial embedding and the structure of complex networks. Complexity. 16(2). 20–28. 16 indexed citations
18.
Barnett, Lionel, Adam B. Barrett, & Anil K. Seth. (2009). Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables. Physical Review Letters. 103(23). 238701–238701. 740 indexed citations breakdown →
19.
Barnett, Lionel, Ezequiel A. Di Paolo, & Seth Bullock. (2007). Spatially embedded random networks. Physical Review E. 76(5). 56115–56115. 49 indexed citations
20.
Barnett, Lionel. (1998). Ruggedness and neutrality—the NKp family of fitness landscapes. 18–27. 66 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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