Paulo J. S. G. Ferreira
Impact in
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- Electrocatalysts for Energy Conversion
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
Papers in
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- Image and Signal Denoising Methods 34
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- Fractal and DNA sequence analysis 16
- Genomics and Phylogenetic Studies 14
- RNA and protein synthesis mechanisms 13
- Co-authors
- Shuo Chen (1 shared paper)Wenchao Sheng (1 shared paper)Dane Morgan (1 shared paper)Yang Shao‐Horn (1 shared paper)Edward F. Holby (1 shared paper)Armando J. Pinho (31 shared papers)Manuel J. C. S. Reis (15 shared papers)Achim Kempf (3 shared papers)
In The Last Decade
Paulo J. S. G. Ferreira
120 papers receiving 2.8k citations
Paulo J. S. G. Ferreira's Hit Papers
Peers
Comparison fields: 5 of 142
- Renewable Energy, Sustainability and the Environment 782
- Applied Mathematics 293
- Signal Processing 235
- Electrochemistry 132
- Computer Vision and Pattern Recognition 391
Countries citing papers authored by Paulo J. S. G. Ferreira
This map shows the geographic impact of Paulo J. S. G. Ferreira'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 Paulo J. S. G. Ferreira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo J. S. G. Ferreira more than expected).
Fields of papers citing papers by Paulo J. S. G. Ferreira
This network shows the impact of papers produced by Paulo J. S. G. Ferreira. 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 Paulo J. S. G. Ferreira. The network helps show where Paulo J. S. G. Ferreira may publish in the future.
Co-authors
The 25 scholars most cited alongside Paulo J. S. G. Ferreira, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Instability of Supported Platinum Nanoparticles in Low-Temperature Fuel Cells Hit paper breakdown → | 2007 | 800 |
| 2 | 2008 | 183 | |
| 3 | 2006 | 135 | |
| 4 | 2001 | 107 | |
| 5 | 2008 | 98 | |
| 6 | 1994 | 89 | |
| 7 | 2012 | 85 | |
| 8 | 2009 | 59 | |
| 9 | 1994 | 56 | |
| 10 | 2010 | 55 | |
| 11 | 2023 | 48 | |
| 12 | 1994 | 46 | |
| 13 | 1992 | 44 | |
| 14 | 2012 | 41 | |
| 15 | 2004 | 40 | |
| 16 | 1994 | 40 | |
| 17 | 2011 | 35 | |
| 18 | 2016 | 35 | |
| 19 | 2013 | 34 | |
| 20 | 2009 | 32 |
About Paulo J. S. G. Ferreira
Paulo J. S. G. Ferreira is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Applied Mathematics, Signal Processing and Artificial Intelligence, having authored 129 papers that have together received 2.9k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (34 papers), Mathematical Analysis and Transform Methods (24 papers), Digital Filter Design and Implementation (20 papers), Fractal and DNA sequence analysis (16 papers), Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (13 papers), Algorithms and Data Compression (11 papers) and Sparse and Compressive Sensing Techniques (11 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (782 citations), Applied Mathematics (293 citations), Signal Processing (235 citations), Electrochemistry (132 citations) and Computer Vision and Pattern Recognition (391 citations). Paulo J. S. G. Ferreira has collaborated with scholars based in Portugal, Germany and Spain. Frequent co-authors include Shuo Chen, Wenchao Sheng, Dane Morgan, Yang Shao‐Horn, Edward F. Holby, Armando J. Pinho, Manuel J. C. S. Reis, Achim Kempf, Raul Morais and Vera Afreixo. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Computers and Electronics in Agriculture, Signal Processing and Digital Signal Processing.
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.