Paula Branco
Impact in
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Data Stream Mining Techniques
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- Artificial Intelligence in Healthcare
Papers in
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- Imbalanced Data Classification Techniques 29
- Anomaly Detection Techniques and Applications 21
- Machine Learning and Data Classification 11
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- Network Security and Intrusion Detection 14
- Co-authors
- Luı́s Torgo (25 shared papers)Rita P. Ribeiro (12 shared papers)Bernhard Pfahringer (3 shared papers)Nuno Moniz (6 shared papers)Nathalie Japkowicz (4 shared papers)Colin Bellinger (5 shared papers)Roberto Corizzo (2 shared papers)Bartosz Krawczyk (3 shared papers)
- Journals
- ACM Computing Surveys (3 papers)Machine Learning (3 papers)Natural Language Engineering (2 papers)IEEE Access (2 papers)Applied Intelligence (2 papers)
- Partner nations
- CanadaPortugalUnited States
In The Last Decade
Paula Branco
65 papers receiving 1.8k citations
Paula Branco's Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 956
- Health Information Management 97
- Signal Processing 158
- Software 36
- Information Systems 178
Countries citing papers authored by Paula Branco
This map shows the geographic impact of Paula Branco'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 Paula Branco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Branco more than expected).
Fields of papers citing papers by Paula Branco
This network shows the impact of papers produced by Paula Branco. 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 Paula Branco. The network helps show where Paula Branco may publish in the future.
Co-authors
The 25 scholars most cited alongside Paula Branco, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Predictive Modeling on Imbalanced Domains Hit paper breakdown → | 2016 | 817 |
| 2 | 2013 | 186 | |
| 3 | 2022 | 131 | |
| 4 | 2014 | 115 | |
| 5 | SMOGN: a Pre-processing Approach for Imbalanced Regression | 2017 | 99 |
| 6 | 2019 | 79 | |
| 7 | 2017 | 50 | |
| 8 | 2017 | 43 | |
| 9 | 2024 | 35 | |
| 10 | 2021 | 28 | |
| 11 | 2016 | 21 | |
| 12 | 2024 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | REBAGG: REsampled BAGGing for Imbalanced Regression | 2018 | 11 |
| 19 | 2024 | 11 | |
| 20 | 2023 | 10 |
About Paula Branco
Paula Branco is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Electrical and Electronic Engineering, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (29 papers), Anomaly Detection Techniques and Applications (21 papers), Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (11 papers), Machine Learning and Data Classification (11 papers), Spam and Phishing Detection (7 papers), Electricity Theft Detection Techniques (7 papers) and Misinformation and Its Impacts (5 papers). The work is most often cited by research in Artificial Intelligence (956 citations), Health Information Management (97 citations), Signal Processing (158 citations), Software (36 citations) and Information Systems (178 citations). Paula Branco has collaborated with scholars based in Canada, Portugal and United States. Frequent co-authors include Luı́s Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Nuno Moniz, Nathalie Japkowicz, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Kushankur Ghosh and Guy-Vincent Jourdan. Their work appears in journals such as ACM Computing Surveys, Machine Learning, Natural Language Engineering, IEEE Access and Applied Intelligence.
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.