Nadia Biassou

36 total papers · 662 total citations
22 papers, 493 citations indexed

About

Nadia Biassou is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Nadia Biassou has authored 22 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Nadia Biassou's work include Neurobiology of Language and Bilingualism (5 papers), Functional Brain Connectivity Studies (5 papers) and Advanced MRI Techniques and Applications (3 papers). Nadia Biassou is often cited by papers focused on Neurobiology of Language and Bilingualism (5 papers), Functional Brain Connectivity Studies (5 papers) and Advanced MRI Techniques and Applications (3 papers). Nadia Biassou collaborates with scholars based in United States, United Kingdom and Pakistan. Nadia Biassou's co-authors include Murray Grossman, Michael Kohrman, David M. Frim, J. Christopher Edgar, Jean‐Paul Spire, Vernon L. Towle, Hyunah Yoon, Mark D’Esposito, K. Robinson and K. Onishi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Brain.

In The Last Decade

Nadia Biassou

21 papers receiving 475 citations

Author Peers

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

Author Last Decade Papers Cites
Nadia Biassou 351 131 87 56 55 22 493
Ryuta Kinno 233 0.7× 71 0.5× 98 1.1× 92 1.6× 38 0.7× 42 481
Christopher McKinney 364 1.0× 125 1.0× 111 1.3× 88 1.6× 18 0.3× 22 501
Sladjana Lukic 472 1.3× 86 0.7× 239 2.7× 38 0.7× 26 0.5× 28 511
Jennifer Whitwell 291 0.8× 135 1.0× 111 1.3× 54 1.0× 114 2.1× 20 407
Tepanta Fossett 349 1.0× 71 0.5× 195 2.2× 17 0.3× 55 1.0× 23 463
Banu Ahtam 224 0.6× 133 1.0× 45 0.5× 113 2.0× 44 0.8× 32 543
Kris Onishi 312 0.9× 207 1.6× 115 1.3× 15 0.3× 58 1.1× 13 483
Martin Kavec 279 0.8× 235 1.8× 40 0.5× 191 3.4× 65 1.2× 26 551
E. H. Burrows 232 0.7× 96 0.7× 46 0.5× 35 0.6× 31 0.6× 20 514
Sophie Ferrieux 449 1.3× 103 0.8× 173 2.0× 43 0.8× 41 0.7× 16 518

Countries citing papers authored by Nadia Biassou

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Biassou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Biassou

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