Brandon Brown

28 total papers · 1.2k total citations
10 papers, 553 citations indexed

About

Brandon Brown is a scholar working on Cellular and Molecular Neuroscience, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Brandon Brown has authored 10 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Sociology and Political Science and 2 papers in Cognitive Neuroscience. Recurrent topics in Brandon Brown's work include Misinformation and Its Impacts (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Advanced Malware Detection Techniques (2 papers). Brandon Brown is often cited by papers focused on Misinformation and Its Impacts (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Advanced Malware Detection Techniques (2 papers). Brandon Brown collaborates with scholars based in United States, Canada and France. Brandon Brown's co-authors include Farzaneh Najafi, Eftychios A. Pnevmatikakis, Jiannis Taxidis, Pat Gunn, Dmitri B. Chklovskii, Jeffrey L. Gauthier, David W. Tank, Jérémie Kalfon, Johannes Friedrich and Andrea Giovannucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and eLife.

In The Last Decade

Brandon Brown

10 papers receiving 546 citations

Hit Papers

CaImAn an open source too... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Brandon Brown 297 281 126 101 55 10 553
Jérémie Kalfon 248 0.8× 226 0.8× 124 1.0× 111 1.1× 46 0.8× 8 497
J Sawiński 279 0.9× 290 1.0× 132 1.0× 155 1.5× 49 0.9× 10 570
Uygar Sümbül 267 0.9× 190 0.7× 93 0.7× 275 2.7× 47 0.9× 19 601
Ashley Linder 363 1.2× 379 1.3× 65 0.5× 55 0.5× 32 0.6× 6 615
Nima Marandi 505 1.7× 316 1.1× 69 0.5× 253 2.5× 50 0.9× 8 663
Staci A. Sorensen 308 1.0× 244 0.9× 103 0.8× 221 2.2× 20 0.4× 12 607
Juliette E. Cheyne 320 1.1× 244 0.9× 94 0.7× 248 2.5× 61 1.1× 17 685
Atsuya Takeuchi 249 0.8× 130 0.5× 92 0.7× 216 2.1× 25 0.5× 8 526
Tanya Sippy 467 1.6× 396 1.4× 69 0.5× 169 1.7× 42 0.8× 7 638
Victoria X. Wang 160 0.5× 115 0.4× 178 1.4× 197 2.0× 40 0.7× 9 554

Countries citing papers authored by Brandon Brown

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brandon Brown

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