Marc Goodfellow

2.4k total citations
55 papers, 1.5k citations indexed

About

Marc Goodfellow is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Marc Goodfellow has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Marc Goodfellow's work include Neural dynamics and brain function (32 papers), Functional Brain Connectivity Studies (30 papers) and EEG and Brain-Computer Interfaces (18 papers). Marc Goodfellow is often cited by papers focused on Neural dynamics and brain function (32 papers), Functional Brain Connectivity Studies (30 papers) and EEG and Brain-Computer Interfaces (18 papers). Marc Goodfellow collaborates with scholars based in United Kingdom, Switzerland and Germany. Marc Goodfellow's co-authors include Gerold Baier, Kaspar Schindler, John R. Terry, Mark P. Richardson, Peter N. Taylor, Yujiang Wang, Christian Rummel, Eugenio Abela, Marinho A. Lopes and Luke Tait and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Marc Goodfellow

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Goodfellow United Kingdom 22 1.1k 378 244 189 167 55 1.5k
Yujiang Wang United Kingdom 22 1.1k 1.0× 359 0.9× 422 1.7× 152 0.8× 109 0.7× 103 1.7k
Demetrios N. Velis Netherlands 23 1.4k 1.3× 552 1.5× 662 2.7× 124 0.7× 148 0.9× 35 1.8k
D.N. Velis Netherlands 22 941 0.8× 536 1.4× 416 1.7× 140 0.7× 156 0.9× 29 1.5k
Sarah F. Muldoon United States 13 703 0.6× 272 0.7× 82 0.3× 124 0.7× 156 0.9× 40 1.1k
Peter N. Taylor United Kingdom 24 1.3k 1.1× 423 1.1× 520 2.1× 84 0.4× 136 0.8× 86 1.7k
Jesús M. Cortés Spain 24 793 0.7× 223 0.6× 105 0.4× 447 2.4× 183 1.1× 105 1.6k
J.P. Pijn Netherlands 12 1.4k 1.3× 735 1.9× 383 1.6× 295 1.6× 355 2.1× 16 1.9k
Shi Gu United States 16 1.1k 1.0× 134 0.4× 108 0.4× 167 0.9× 102 0.6× 42 1.6k
S.C. Ponten Netherlands 8 1.0k 0.9× 130 0.3× 151 0.6× 59 0.3× 103 0.6× 9 1.1k
Berj L. Bardakjian Canada 23 1.1k 1.0× 844 2.2× 206 0.8× 295 1.6× 134 0.8× 125 1.9k

Countries citing papers authored by Marc Goodfellow

Since Specialization
Citations

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

Fields of papers citing papers by Marc Goodfellow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Goodfellow

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Goodfellow. A scholar is included among the top collaborators of Marc Goodfellow 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 Marc Goodfellow. Marc Goodfellow 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.
Goodfellow, Marc, et al.. (2024). Resting-state functional connectivity in children cooled for neonatal encephalopathy. Brain Communications. 6(3). fcae154–fcae154. 6 indexed citations
2.
Zerenner, Tanja, Marc Goodfellow, & Peter Ashwin. (2021). Harmonic cross-correlation decomposition for multivariate time series. Physical review. E. 103(6). 62213–62213. 1 indexed citations
3.
Pandey, R., et al.. (2021). Role of subnetworks mediated by $$\hbox {TNF}\alpha$$, IL-23/IL-17 and IL-15 in a network involved in the pathogenesis of psoriasis. Scientific Reports. 11(1). 2204–2204. 11 indexed citations
4.
Zaveri, Hitten P., Björn Schelter, Catherine A. Schevon, et al.. (2020). Controversies on the network theory of epilepsy: Debates held during the ICTALS 2019 conference. Seizure. 78. 78–85. 20 indexed citations
5.
Lopes, Marinho A., et al.. (2020). The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures. Frontiers in Neurology. 11. 74–74. 15 indexed citations
6.
Lopes, Marinho A., Suejen Perani, Siti N. Yaakub, et al.. (2019). Revealing epilepsy type using a computational analysis of interictal EEG. Scientific Reports. 9(1). 10169–10169. 21 indexed citations
7.
Lopes, Marinho A., Marc Goodfellow, & John R. Terry. (2019). A Model-Based Assessment of the Seizure Onset Zone Predictive Power to Inform the Epileptogenic Zone. Frontiers in Computational Neuroscience. 13. 25–25. 11 indexed citations
8.
Lopes, Marinho A., Luke Tait, John R. Terry, et al.. (2019). Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy. Clinical Neurophysiology. 131(1). 225–234. 30 indexed citations
9.
Lopes, Marinho A., Mark P. Richardson, Eugenio Abela, et al.. (2018). Elevated Ictal Brain Network Ictogenicity Enables Prediction of Optimal Seizure Control. Frontiers in Neurology. 9. 98–98. 22 indexed citations
10.
Müller, Michael, et al.. (2018). Evaluating resective surgery targets in epilepsy patients: A comparison of quantitative EEG methods. Journal of Neuroscience Methods. 305. 54–66. 12 indexed citations
11.
Ferrat, Lauric, Marc Goodfellow, & John R. Terry. (2018). Classifying dynamic transitions in high dimensional neural mass models: A random forest approach. PLoS Computational Biology. 14(3). e1006009–e1006009. 16 indexed citations
12.
Lopes, Marinho A., Mark P. Richardson, Eugenio Abela, et al.. (2017). An optimal strategy for epilepsy surgery: Disruption of the rich-club?. PLoS Computational Biology. 13(8). e1005637–e1005637. 61 indexed citations
13.
Schindler, Kaspar, Christian Rummel, Ralph G. Andrzejak, et al.. (2016). Ictal time-irreversible intracranial EEG signals as markers of the epileptogenic zone. Clinical Neurophysiology. 127(9). 3051–3058. 27 indexed citations
14.
Wang, Yujiang, Marc Goodfellow, Peter N. Taylor, & Gerold Baier. (2014). Dynamic Mechanisms of Neocortical Focal Seizure Onset. PLoS Computational Biology. 10(8). e1003787–e1003787. 39 indexed citations
15.
Müller, Markus, Christian Rummel, Marc Goodfellow, & Kaspar Schindler. (2014). Standing Waves as an Explanation for Generic Stationary Correlation Patterns in Noninvasive EEG of Focal Onset Seizures. Brain Connectivity. 4(2). 131–144. 17 indexed citations
16.
Goodfellow, Marc, et al.. (2012). Modelling the role of tissue heterogeneity in epileptic rhythms. European Journal of Neuroscience. 36(2). 2178–2187. 12 indexed citations
17.
Al‐Nuaimi, Yusur, Marc Goodfellow, Ralf Paus, & Gerold Baier. (2012). A prototypic mathematical model of the human hair cycle. Journal of Theoretical Biology. 310. 143–159. 25 indexed citations
18.
Rummel, Christian, Marc Goodfellow, Heidemarie Gast, et al.. (2012). A Systems-Level Approach to Human Epileptic Seizures. Neuroinformatics. 11(2). 159–173. 27 indexed citations
19.
Taylor, Peter N., Marc Goodfellow, Yujiang Wang, & Gerold Baier. (2012). Towards a large-scale model of patient-specific epileptic spike-wave discharges. Biological Cybernetics. 107(1). 83–94. 37 indexed citations
20.
Goodfellow, Marc, Kaspar Schindler, & Gerold Baier. (2011). Self-organised transients in a neural mass model of epileptogenic tissue dynamics. NeuroImage. 59(3). 2644–2660. 57 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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