Noel Lopes
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
Papers in
-
- Neural Networks and Applications 16
- Machine Learning and Data Classification 8
- Machine Learning and ELM 5
- Machine Learning and Algorithms 4
- Imbalanced Data Classification Techniques 4
- Metaheuristic Optimization Algorithms Research 4
-
- Face and Expression Recognition 9
- Advanced Neural Network Applications 5
- Co-authors
- Bernardete Ribeiro (38 shared papers)João Gonçalves (3 shared papers)Francisco José García‐Peñalvo (1 shared paper)Shafaatunnur Hasan (3 shared papers)Siti Mariyam Shamsuddin (2 shared papers)Mauricio Orozco‐Alzate (1 shared paper)Catarina Silva (2 shared papers)Carlos Pereira (1 shared paper)
In The Last Decade
Noel Lopes
43 papers receiving 409 citations
Peers
Comparison fields: 5 of 100
- Computational Mathematics 5
- Artificial Intelligence 205
- Computer Vision and Pattern Recognition 119
- Computer Science Applications 28
- Signal Processing 42
Countries citing papers authored by Noel Lopes
This map shows the geographic impact of Noel Lopes'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 Noel Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel Lopes more than expected).
Fields of papers citing papers by Noel Lopes
This network shows the impact of papers produced by Noel Lopes. 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 Noel Lopes. The network helps show where Noel Lopes may publish in the future.
Co-authors
The 9 scholars most cited alongside Noel Lopes, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 54 | |
| 2 | 2011 | 27 | |
| 3 | 2019 | 26 | |
| 4 | 2014 | 24 | |
| 5 | 2011 | 23 | |
| 6 | 2012 | 20 | |
| 7 | 2014 | 19 | |
| 8 | An efficient gradient-based learning algorithm applied to neural networks with selective actuation neurons | 2003 | 18 |
| 9 | 2009 | 17 | |
| 10 | 2010 | 16 | |
| 11 | 2002 | 15 | |
| 12 | 2010 | 15 | |
| 13 | 2014 | 15 | |
| 14 | Machine Learning Big Data Framework and Analytics for Big Data Problems | 2014 | 12 |
| 15 | 2013 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2009 | 7 | |
| 19 | 2012 | 6 | |
| 20 | 2020 | 6 |
About Noel Lopes
Noel Lopes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Accounting and Molecular Biology, having authored 44 papers that have together received 422 indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Face and Expression Recognition (9 papers), Machine Learning and Data Classification (8 papers), Advanced Neural Network Applications (5 papers), Machine Learning and ELM (5 papers), Machine Learning and Algorithms (4 papers), Imbalanced Data Classification Techniques (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Computational Mathematics (5 citations), Artificial Intelligence (205 citations), Computer Vision and Pattern Recognition (119 citations), Computer Science Applications (28 citations) and Signal Processing (42 citations). Noel Lopes has collaborated with scholars based in Portugal, Malaysia and Spain. Frequent co-authors include Bernardete Ribeiro, João Gonçalves, Francisco José García‐Peñalvo, Shafaatunnur Hasan, Siti Mariyam Shamsuddin, Mauricio Orozco‐Alzate, Catarina Silva, Carlos Pereira and António Dourado. Their work appears in journals such as Lecture notes in computer science, Pattern Recognition, Computers in Industry, International Journal of Neural Systems and Interchange.
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.