Matthew M. Nour

102 total papers · 4.0k total citations
56 papers, 2.2k citations indexed

About

Matthew M. Nour is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Matthew M. Nour has authored 56 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 17 papers in Cellular and Molecular Neuroscience and 14 papers in Psychiatry and Mental health. Recurrent topics in Matthew M. Nour's work include Functional Brain Connectivity Studies (24 papers), Schizophrenia research and treatment (12 papers) and Advanced MRI Techniques and Applications (10 papers). Matthew M. Nour is often cited by papers focused on Functional Brain Connectivity Studies (24 papers), Schizophrenia research and treatment (12 papers) and Advanced MRI Techniques and Applications (10 papers). Matthew M. Nour collaborates with scholars based in United Kingdom, Italy and Germany. Matthew M. Nour's co-authors include Robin Carhart‐Harris, Oliver Howes, Lisa Evans, Sameer Jauhar, David Nutt, Allan H. Young, Mattia Veronese, Tiago Reis Marques, Raymond J. Dolan and Leor Roseman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Matthew M. Nour

53 papers receiving 2.1k citations

Hit Papers

The dopamine hypothesis o... 2016 2026 2019 2022 2017 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew M. Nour 850 660 618 541 384 56 2.2k
Lauro Wichert‐Ana 765 0.9× 863 1.3× 335 0.5× 707 1.3× 292 0.8× 101 2.4k
Alessandro Colasanti 932 1.1× 922 1.4× 352 0.6× 633 1.2× 323 0.8× 67 3.0k
Laurence Reed 815 1.0× 841 1.3× 907 1.5× 261 0.5× 302 0.8× 42 2.9k
Karsten Heekeren 700 0.8× 559 0.8× 730 1.2× 737 1.4× 121 0.3× 60 2.0k
Ede Frecska 708 0.8× 535 0.8× 264 0.4× 561 1.0× 224 0.6× 79 1.8k
Carolyn I. Rodríguez 1.1k 1.2× 528 0.8× 661 1.1× 251 0.5× 238 0.6× 70 2.6k
Philipp Stämpfli 1.0k 1.2× 732 1.1× 944 1.5× 182 0.3× 456 1.2× 55 2.4k
Claire Wilcox 969 1.1× 637 1.0× 546 0.9× 186 0.3× 505 1.3× 40 1.9k
Milan Scheidegger 976 1.1× 661 1.0× 620 1.0× 85 0.2× 495 1.3× 52 1.9k
Tomáš Páleníček 1.0k 1.2× 1.2k 1.8× 297 0.5× 298 0.6× 440 1.1× 84 2.4k

Countries citing papers authored by Matthew M. Nour

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Nour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. Nour. 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 Matthew M. Nour. The network helps show where Matthew M. Nour may publish in the future.

Co-authorship network of co-authors of Matthew M. Nour

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Nour. A scholar is included among the top collaborators of Matthew M. Nour 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 Matthew M. Nour. Matthew M. Nour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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