Andres Folleco
- Software top 5%
- Artificial Intelligence top 10%
- Machine Learning and Data Classification 7
- Imbalanced Data Classification Techniques 6
- Machine Learning and Algorithms 2
- Information Systems top 10%
- Software Engineering Research 4
- Data Mining Algorithms and Applications 2
- Ocean Engineering top 10%
- Underwater Vehicles and Communication Systems 3
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- Robotic Path Planning Algorithms 2
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- Statistical Methods and Bayesian Inference 1
- Co-authors
- Taghi M. KhoshgoftaarJason Van HulseChris SeiffertAmri NapolitanoPing AnQiming LuoThomas J. CarlsonT.J. Tarn
- Journals
- Information Sciences (1 paper)IEEE Journal of Oceanic Engineering (1 paper)Software Engineering and Knowledge Engineering (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Andres Folleco
13 papers receiving 318 citations
Peers
Comparison fields: 5 of 70
- Software 67
- Artificial Intelligence 185
- Information Systems 92
- Ocean Engineering 51
- Health Information Management 10
Countries citing papers authored by Andres Folleco
This map shows the geographic impact of Andres Folleco'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 Andres Folleco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andres Folleco more than expected).
Fields of papers citing papers by Andres Folleco
This network shows the impact of papers produced by Andres Folleco. 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 Andres Folleco. The network helps show where Andres Folleco may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Andres Folleco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 106 | |
| 2 | Analyzing the Impact of Attribute Noise on Software Quality Classification. | 2008 | 2 |
| 3 | 2008 | 12 | |
| 4 | 2008 | 11 | |
| 5 | 2008 | 25 | |
| 6 | Learning from Software Quality Data with Class Imbalance and Noise. | 2007 | 2 |
| 7 | 2007 | 75 | |
| 8 | 2007 | 21 | |
| 9 | 2006 | 5 | |
| 10 | 2006 | 13 | |
| 11 | 2004 | 8 | |
| 12 | 2003 | 44 | |
| 13 | 2002 | 12 |
About Andres Folleco
Andres Folleco is a scholar working on Information Systems, Software and Artificial Intelligence, having authored 13 papers that have together received 336 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Imbalanced Data Classification Techniques (6 papers), Software Engineering Research (4 papers), Underwater Vehicles and Communication Systems (3 papers), Machine Learning and Algorithms (2 papers), Robotic Path Planning Algorithms (2 papers), Data Mining Algorithms and Applications (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Software (67 citations), Artificial Intelligence (185 citations) and Information Systems (92 citations). Andres Folleco has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Amri Napolitano, Ping An, Qiming Luo, Thomas J. Carlson and T.J. Tarn. Their work appears in journals such as Information Sciences, IEEE Journal of Oceanic Engineering and Software Engineering and Knowledge Engineering.
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.