Bruno Fernandes

195 total papers · 1.1k total citations
86 papers, 664 citations indexed

About

Bruno Fernandes is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Bruno Fernandes has authored 86 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Bruno Fernandes's work include Neural Networks and Applications (10 papers), Face and Expression Recognition (9 papers) and Human Pose and Action Recognition (8 papers). Bruno Fernandes is often cited by papers focused on Neural Networks and Applications (10 papers), Face and Expression Recognition (9 papers) and Human Pose and Action Recognition (8 papers). Bruno Fernandes collaborates with scholars based in Brazil, Australia and Chile. Bruno Fernandes's co-authors include Pablo Barros, Byron Leite Dantas Bezerra, Francisco Cruz, George D. C. Cavalcanti, Tsang Ing Ren, Sérgio Campello Oliveira, Diego Rátiva, Carmelo J. A. Bastos-Filho, Alexandre Magno Andrade Maciel and Diego P. dos Santos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Bruno Fernandes

75 papers receiving 638 citations

Author Peers

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

Author Last Decade Papers Cites
Bruno Fernandes 302 171 102 65 57 86 664
Patrik Kamencay 421 1.4× 154 0.9× 73 0.7× 45 0.7× 39 0.7× 92 762
Chuanfei Hu 178 0.6× 122 0.7× 102 1.0× 51 0.8× 46 0.8× 45 743
Jianfeng Li 364 1.2× 130 0.8× 53 0.5× 152 2.3× 43 0.8× 73 774
Erkan Bostancı 279 0.9× 187 1.1× 50 0.5× 67 1.0× 48 0.8× 90 765
Minh Nguyen 312 1.0× 61 0.4× 57 0.6× 67 1.0× 22 0.4× 80 664
Hang Wu 303 1.0× 111 0.6× 143 1.4× 47 0.7× 58 1.0× 76 792
Guosheng Yang 148 0.5× 103 0.6× 144 1.4× 38 0.6× 44 0.8× 39 703
Vidas Raudonis 224 0.7× 122 0.7× 51 0.5× 83 1.3× 27 0.5× 53 696
Jorge Azorín-López 336 1.1× 122 0.7× 101 1.0× 26 0.4× 24 0.4× 64 762
Joseph Lemley 313 1.0× 237 1.4× 38 0.4× 92 1.4× 83 1.5× 43 791

Countries citing papers authored by Bruno Fernandes

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Fernandes

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