Michael J. Morais

21 total papers · 530 total citations
8 papers, 164 citations indexed

About

Michael J. Morais is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sociology and Political Science. According to data from OpenAlex, Michael J. Morais has authored 8 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Sociology and Political Science. Recurrent topics in Michael J. Morais's work include Neural dynamics and brain function (5 papers), Complex Network Analysis Techniques (2 papers) and Visual perception and processing mechanisms (2 papers). Michael J. Morais is often cited by papers focused on Neural dynamics and brain function (5 papers), Complex Network Analysis Techniques (2 papers) and Visual perception and processing mechanisms (2 papers). Michael J. Morais collaborates with scholars based in United States and Italy. Michael J. Morais's co-authors include Matthew A. Smith, A. C. Snyder, Madalina Vlasceanu, Alin Coman, Adam Kohn, Cory M. Willis and Jonathan W. Pillow and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Journal of Neurophysiology.

In The Last Decade

Michael J. Morais

8 papers receiving 163 citations

Author Peers

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

Author Last Decade Papers Cites
Michael J. Morais 133 53 30 19 10 8 164
Alireza Modirshanechi 118 0.9× 43 0.8× 17 0.6× 4 0.2× 26 2.6× 12 168
Danielle Stark 37 0.3× 30 0.6× 52 1.7× 17 0.9× 7 0.7× 5 159
Laura Fontanesi 155 1.2× 17 0.3× 10 0.3× 3 0.2× 39 3.9× 9 246
Ann S. Blevins 57 0.4× 5 0.1× 11 0.4× 8 0.4× 21 2.1× 8 107
Johanna Klon-Lipok 207 1.6× 117 2.2× 2 0.1× 19 1.0× 5 0.5× 12 221
Nuttida Rungratsameetaweemana 211 1.6× 14 0.3× 3 0.1× 17 0.9× 20 2.0× 12 231
Matteo Grasso 154 1.2× 14 0.3× 4 0.1× 6 0.3× 40 4.0× 11 204
Paul Masset 223 1.7× 71 1.3× 4 0.1× 4 0.2× 13 1.3× 10 269
Alex T. Piet 133 1.0× 51 1.0× 2 0.1× 7 0.4× 8 0.8× 9 170
Donald Doherty 66 0.5× 24 0.5× 5 0.2× 5 0.3× 3 0.3× 8 99

Countries citing papers authored by Michael J. Morais

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Morais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Morais. 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 Michael J. Morais. The network helps show where Michael J. Morais may publish in the future.

Co-authorship network of co-authors of Michael J. Morais

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Morais. A scholar is included among the top collaborators of Michael J. Morais 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 Michael J. Morais. Michael J. Morais 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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