Carla Vairetti

963 total citations
27 papers, 629 citations indexed

About

Carla Vairetti is a scholar working on Artificial Intelligence, Information Systems and Marketing. According to data from OpenAlex, Carla Vairetti has authored 27 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Marketing. Recurrent topics in Carla Vairetti's work include Imbalanced Data Classification Techniques (8 papers), Sentiment Analysis and Opinion Mining (3 papers) and Customer churn and segmentation (3 papers). Carla Vairetti is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Sentiment Analysis and Opinion Mining (3 papers) and Customer churn and segmentation (3 papers). Carla Vairetti collaborates with scholars based in Chile, Spain and Switzerland. Carla Vairetti's co-authors include Sebastián Maldonado, Julio López, Francisco Herrera, Alberto Fernández, Rosa G. González‐Ramírez, Claudio Álvarez, Juan Pérez, Tsan‐Ming Choi, Richard W. Weber and Mathias Kraus and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Carla Vairetti

24 papers receiving 609 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carla Vairetti Chile 12 345 83 79 64 55 27 629
Chun Yan China 16 247 0.7× 168 2.0× 59 0.7× 35 0.5× 106 1.9× 57 709
Muhammad Usman Tariq United Arab Emirates 17 161 0.5× 123 1.5× 147 1.9× 56 0.9× 66 1.2× 76 875
Ayman E. Khedr Egypt 14 229 0.7× 163 2.0× 31 0.4× 51 0.8× 85 1.5× 68 609
Mehdi Darbandi Iran 13 270 0.8× 206 2.5× 131 1.7× 72 1.1× 45 0.8× 33 884
Raed A. Said United Arab Emirates 13 213 0.6× 141 1.7× 89 1.1× 16 0.3× 77 1.4× 31 770
Francesca Fallucchi Italy 12 268 0.8× 163 2.0× 104 1.3× 32 0.5× 48 0.9× 39 717
Bijan Raahemi Canada 17 500 1.4× 173 2.1× 72 0.9× 14 0.2× 65 1.2× 69 995
Seppe vanden Broucke Belgium 15 332 1.0× 194 2.3× 32 0.4× 100 1.6× 196 3.6× 59 824
Ahmed Almulihi Saudi Arabia 13 90 0.3× 62 0.7× 75 0.9× 87 1.4× 35 0.6× 25 547

Countries citing papers authored by Carla Vairetti

Since Specialization
Citations

This map shows the geographic impact of Carla Vairetti'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 Carla Vairetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla Vairetti more than expected).

Fields of papers citing papers by Carla Vairetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla Vairetti. 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 Carla Vairetti. The network helps show where Carla Vairetti may publish in the future.

Co-authorship network of co-authors of Carla Vairetti

This figure shows the co-authorship network connecting the top 25 collaborators of Carla Vairetti. A scholar is included among the top collaborators of Carla Vairetti 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 Carla Vairetti. Carla Vairetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maldonado, Sebastián, et al.. (2025). A predict-and-optimize approach to profit-driven churn prevention. European Journal of Operational Research. 324(2). 555–566. 1 indexed citations
2.
Vairetti, Carla, et al.. (2024). Propensity score oversampling and matching for uplift modeling. European Journal of Operational Research. 316(3). 1058–1069. 3 indexed citations
3.
Vairetti, Carla, et al.. (2024). Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification. Expert Systems with Applications. 246. 123149–123149. 19 indexed citations
4.
Vairetti, Carla, et al.. (2024). Improving incentive policies to salespeople cross-sells: a cost-sensitive uplift modeling approach. Neural Computing and Applications. 36(28). 17541–17558.
5.
Vairetti, Carla, Sebastián Maldonado, Loreto Cuitiño, & Cristhian A. Urzúa. (2024). Interpretable multimodal classification for age-related macular degeneration diagnosis. PLoS ONE. 19(11). e0311811–e0311811. 1 indexed citations
6.
Maldonado, Sebastián, et al.. (2024). Enhancing environmental governance: A text-based artificial intelligence approach for project evaluation involvement. Environmental Impact Assessment Review. 110. 107707–107707.
7.
8.
Maldonado, Sebastián, et al.. (2023). OWAdapt: An adaptive loss function for deep learning using OWA operators. Knowledge-Based Systems. 280. 111022–111022. 7 indexed citations
9.
Bock, Koen W. De, Kristof Coussement, Arno De Caigny, et al.. (2023). Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. European Journal of Operational Research. 317(2). 249–272. 61 indexed citations
10.
Vairetti, Carla, et al.. (2023). Analytics-driven complaint prioritisation via deep learning and multicriteria decision-making. European Journal of Operational Research. 312(3). 1108–1118. 20 indexed citations
11.
Maldonado, Sebastián, Julio López, & Carla Vairetti. (2021). Time-weighted Fuzzy Support Vector Machines for classification in changing environments. Information Sciences. 559. 97–110. 20 indexed citations
12.
Maldonado, Sebastián, et al.. (2021). Telecom traffic pumping analytics via explainable data science. Decision Support Systems. 150. 113559–113559. 23 indexed citations
13.
Maldonado, Sebastián, Carla Vairetti, Alberto Fernández, & Francisco Herrera. (2021). FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification. Pattern Recognition. 124. 108511–108511. 120 indexed citations
14.
Vairetti, Carla, et al.. (2021). A Transparency Maturity Model for Government Software Tenders. IEEE Access. 9. 45668–45682. 7 indexed citations
15.
Maldonado, Sebastián, et al.. (2021). Efficient n-gram construction for text categorization using feature selection techniques. Intelligent Data Analysis. 25(3). 509–525. 11 indexed citations
16.
Vairetti, Carla, et al.. (2019). Enhancing the classification of social media opinions by optimizing the structural information. Future Generation Computer Systems. 102. 838–846. 13 indexed citations
17.
Vairetti, Carla, et al.. (2019). Facilitating conditions for successful adoption of inter-organizational information systems in seaports. Transportation Research Part A Policy and Practice. 130. 333–350. 29 indexed citations
18.
Maldonado, Sebastián, Julio López, & Carla Vairetti. (2018). An alternative SMOTE oversampling strategy for high-dimensional datasets. Applied Soft Computing. 76. 380–389. 157 indexed citations
19.
Vairetti, Carla, et al.. (2018). SAW-Q: a dynamic composition approach of REST services based on queue model. International Journal of Web and Grid Services. 15(1). 29–29. 1 indexed citations
20.
Saldivar, Jorge, Carla Vairetti, Carlos Rodríguez, et al.. (2015). Analysis and improvement of business process models using spreadsheets. Information Systems. 57. 1–19. 10 indexed citations

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.

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