Andrea Alamia

96 total papers · 1.3k total citations
38 papers, 667 citations indexed

About

Andrea Alamia is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Andrea Alamia has authored 38 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Andrea Alamia's work include Neural dynamics and brain function (21 papers), Neural and Behavioral Psychology Studies (13 papers) and Visual perception and processing mechanisms (12 papers). Andrea Alamia is often cited by papers focused on Neural dynamics and brain function (21 papers), Neural and Behavioral Psychology Studies (13 papers) and Visual perception and processing mechanisms (12 papers). Andrea Alamia collaborates with scholars based in France, Belgium and Switzerland. Andrea Alamia's co-authors include Rufin VanRullen, Alexandre Zénon, Valéry Legrain, Christopher Timmermann, Julie Duqué, Gérard Derosière, Etienne Olivier, Robin Carhart‐Harris, David Nutt and André Mouraux and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Andrea Alamia

35 papers receiving 659 citations

Hit Papers

Human brain effects of DM... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Andrea Alamia 466 122 120 89 62 38 667
Sara de la Salle 441 0.9× 150 1.2× 122 1.0× 93 1.0× 81 1.3× 45 728
Tsuyoshi Okamoto 300 0.6× 81 0.7× 72 0.6× 91 1.0× 25 0.4× 55 648
Mohammad M. Herzallah 267 0.6× 120 1.0× 83 0.7× 94 1.1× 18 0.3× 28 583
Yuliya Zaytseva 382 0.8× 63 0.5× 90 0.8× 136 1.5× 24 0.4× 48 594
William J.A. Eiler 238 0.5× 400 3.3× 95 0.8× 73 0.8× 28 0.5× 32 675
Rachael L. Sumner 184 0.4× 157 1.3× 216 1.8× 63 0.7× 34 0.5× 34 609
Vadim Ilivitsky 448 1.0× 192 1.6× 54 0.5× 75 0.8× 48 0.8× 35 788
Joel Elkes 217 0.5× 301 2.5× 79 0.7× 27 0.3× 26 0.4× 25 690
Jana Kopřivová 274 0.6× 64 0.5× 207 1.7× 257 2.9× 24 0.4× 43 624
Jessica R. Gilbert 275 0.6× 138 1.1× 158 1.3× 104 1.2× 19 0.3× 34 633

Countries citing papers authored by Andrea Alamia

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Alamia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Alamia

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Alamia. A scholar is included among the top collaborators of Andrea Alamia 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 Andrea Alamia. Andrea Alamia 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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