Brando Miranda

46 total papers · 1.2k total citations
12 papers, 525 citations indexed

About

Brando Miranda is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Mechanics. According to data from OpenAlex, Brando Miranda has authored 12 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Mechanics. Recurrent topics in Brando Miranda's work include Neural Networks and Applications (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Photonic and Optical Devices (3 papers). Brando Miranda is often cited by papers focused on Neural Networks and Applications (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Photonic and Optical Devices (3 papers). Brando Miranda collaborates with scholars based in United States. Brando Miranda's co-authors include H. N. Mhaskar, Tomaso Poggio, Lorenzo Rosasco, Qianli Liao, Derek Kita, David Bono, Hongtao Lin, Jérôme Michon, Juejun Hu and Tian Gu and has published in prestigious journals such as Nature Communications, International Journal of Automation and Computing and arXiv (Cornell University).

In The Last Decade

Brando Miranda

11 papers receiving 503 citations

Hit Papers

Why and when can deep-but... 2017 2026 2020 2023 2017 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
Brando Miranda 197 187 104 82 73 12 525
Ryan R. Curtin 58 0.3× 140 0.7× 66 0.6× 29 0.4× 22 0.3× 15 563
D. Hendry 95 0.5× 56 0.3× 181 1.7× 25 0.3× 79 1.1× 34 576
Arnab Ghosh 223 1.1× 147 0.8× 205 2.0× 208 2.5× 32 0.4× 42 602
Ernst A. Guillemin 160 0.8× 86 0.5× 43 0.4× 35 0.4× 45 0.6× 9 476
Raban Iten 57 0.3× 315 1.7× 130 1.3× 78 1.0× 14 0.2× 9 501
W. R. Bennett 325 1.6× 78 0.4× 49 0.5× 32 0.4× 71 1.0× 15 538
Guoqiang Han 120 0.6× 108 0.6× 80 0.8× 13 0.2× 99 1.4× 33 462
Bo Li 136 0.7× 305 1.6× 230 2.2× 15 0.2× 39 0.5× 18 546
S. H. Oh 127 0.6× 106 0.6× 43 0.4× 21 0.3× 92 1.3× 47 540
Nung Kwan Yip 153 0.8× 139 0.7× 28 0.3× 25 0.3× 73 1.0× 41 577

Countries citing papers authored by Brando Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Brando Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brando Miranda

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