Armando J. Pinho
- Molecular Biology
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Co-authors
- Diogo PratasPaulo J. S. G. FerreiraAntónio J. R. NevesSara P. GarciaCarlos A. C. BastosSusana BrásJoão M. O. S. RodriguesVera Afreixo
- Topics
- Algorithms and Data Compression (44 papers)Genomics and Phylogenetic Studies (32 papers)Advanced Data Compression Techniques (28 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
In The Last Decade
Armando J. Pinho
111 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 685
- Artificial Intelligence 649
- Computer Vision and Pattern Recognition 377
- Computer Networks and Communications 115
- Signal Processing 112
Countries citing papers authored by Armando J. Pinho
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 33 | |
| 9 | 15 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | Exploring deep Markov models in genomic data compression using sequence pre-analysis | 7 |
| 14 | Color-spaces and color segmentation for real-time object recognition in robotic applications | 5 |
| 15 | A review on edge detection based on filtering and differentiation | 1 |
| 16 | Finding unknown repeated patterns in images | 2 |
| 17 | Symbolic to numerical conversion of DNA sequences using finite-context models | 3 |
| 18 | Inverted-repeats-aware finite-context models for DNA coding | 10 |
| 19 | 12 | |
| 20 | Inventário de Personalidade de Freiburg-Revisto (FPI-R): estudo de validação junto de amostra de estudantes universitários | 1 |
About Armando J. Pinho
Armando J. Pinho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 120 papers that have together received 1.3k indexed citations. Recurring topics across this work include Algorithms and Data Compression (44 papers), Genomics and Phylogenetic Studies (32 papers) and Advanced Data Compression Techniques (28 papers). The work is most often cited by research in Artificial Intelligence (649 citations), Computer Vision and Pattern Recognition (377 citations) and Signal Processing (112 citations). Armando J. Pinho has collaborated with scholars based in Portugal, Finland and Spain. Frequent co-authors include Diogo Pratas, Paulo J. S. G. Ferreira, António J. R. Neves, Sara P. Garcia, Carlos A. C. Bastos, Susana Brás, João M. O. S. Rodrigues, Vera Afreixo, Sandra C. Soares and Raquel M. Silva. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.