Lionel Barnett
- Cognitive Neuroscience top 1%
- Statistical and Nonlinear Physics top 1%
- Economics and Econometrics top 2%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Anil K. SethAdam B. BarrettTerry BossomaierMichael HarréJoseph T. LizierSeth BullockEzequiel A. Di PaoloSuresh Muthukumaraswamy
- Topics
- Neural dynamics and brain function (19 papers)Functional Brain Connectivity Studies (13 papers)Complex Systems and Time Series Analysis (4 papers)
- Partner nations
- United KingdomAustraliaCanada
In The Last Decade
Lionel Barnett
30 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 2.0k
- Statistical and Nonlinear Physics 484
- Economics and Econometrics 481
- Artificial Intelligence 450
- Cellular and Molecular Neuroscience 314
Countries citing papers authored by Lionel Barnett
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 51 | |
| 6 | 12 | |
| 7 | Detectability of Granger causality for subsampled continuous-time neurophysiological processes | 48 |
| 8 | 122 | |
| 9 | Granger Causality Analysis in Neuroscience and Neuroimagingbreakdown → | 563 |
| 10 | 50 | |
| 11 | The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inferencebreakdown → | 681 |
| 12 | 74 | |
| 13 | 151 | |
| 14 | 7 | |
| 15 | 131 | |
| 16 | 173 | |
| 17 | 16 | |
| 18 | 2 | |
| 19 | Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variablesbreakdown → | 740 |
| 20 | 49 |
About Lionel Barnett
Lionel Barnett is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Signal Processing, having authored 32 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (19 papers), Functional Brain Connectivity Studies (13 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Statistical and Nonlinear Physics (484 citations) and Signal Processing (200 citations). Lionel Barnett has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent 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 Steve A. Gibbs. Their work appears in journals such as Physical Review Letters, Journal of Neuroscience and NeuroImage.
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.