Armando J. Pinho

219 total papers · 2.5k total citations
119 papers, 1.3k citations indexed

About

Armando J. Pinho is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Armando J. Pinho has authored 119 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 57 papers in Molecular Biology and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Armando J. Pinho's work include Algorithms and Data Compression (44 papers), Genomics and Phylogenetic Studies (32 papers) and Advanced Data Compression Techniques (28 papers). Armando J. Pinho is often cited by papers focused on Algorithms and Data Compression (44 papers), Genomics and Phylogenetic Studies (32 papers) and Advanced Data Compression Techniques (28 papers). Armando J. Pinho collaborates with scholars based in Portugal, Finland and Spain. Armando J. Pinho's co-authors include Diogo Pratas, Paulo J. S. G. Ferreira, António J. R. Neves, Sara P. Garcia, Carlos A. C. Bastos, João M. O. S. Rodrigues, Susana Brás, Vera Afreixo, Raquel M. Silva and Daniel Martins and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Armando J. Pinho

111 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Armando J. Pinho 685 645 379 117 112 119 1.3k
Soheil Feizi 592 0.9× 280 0.4× 184 0.5× 183 1.6× 71 0.6× 69 1.3k
Amitava Datta 226 0.3× 304 0.5× 237 0.6× 552 4.7× 104 0.9× 165 1.7k
Hagit Shatkay 992 1.4× 677 1.0× 221 0.6× 47 0.4× 33 0.3× 52 1.5k
Alexander Schliep 1.0k 1.5× 470 0.7× 132 0.3× 38 0.3× 60 0.5× 61 1.6k
Stefan C. Kremer 281 0.4× 485 0.8× 157 0.4× 166 1.4× 110 1.0× 66 1.3k
Donatello Conte 108 0.2× 530 0.8× 888 2.3× 144 1.2× 249 2.2× 48 1.5k
Juanying Xie 149 0.2× 691 1.1× 394 1.0× 45 0.4× 102 0.9× 58 1.2k
Jessie Kennedy 246 0.4× 386 0.6× 672 1.8× 121 1.0× 152 1.4× 86 1.3k
David Chiu 329 0.5× 423 0.7× 122 0.3× 389 3.3× 123 1.1× 97 1.4k
Rajat K. De 588 0.9× 343 0.5× 182 0.5× 13 0.1× 40 0.4× 90 1.3k

Countries citing papers authored by Armando J. Pinho

Since Specialization
Citations

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

Fields of papers citing papers by Armando J. Pinho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando J. Pinho. 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 Armando J. Pinho. The network helps show where Armando J. Pinho may publish in the future.

Co-authorship network of co-authors of Armando J. Pinho

This figure shows the co-authorship network connecting the top 25 collaborators of Armando J. Pinho. A scholar is included among the top collaborators of Armando J. Pinho 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 Armando J. Pinho. Armando J. Pinho 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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