Fábio Porto

3.2k total citations · 1 hit paper
133 papers, 1.1k citations indexed

About

Fábio Porto is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Fábio Porto has authored 133 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Networks and Communications, 42 papers in Artificial Intelligence and 26 papers in Information Systems. Recurrent topics in Fábio Porto's work include Advanced Database Systems and Queries (32 papers), Semantic Web and Ontologies (27 papers) and Scientific Computing and Data Management (24 papers). Fábio Porto is often cited by papers focused on Advanced Database Systems and Queries (32 papers), Semantic Web and Ontologies (27 papers) and Scientific Computing and Data Management (24 papers). Fábio Porto collaborates with scholars based in Brazil, Italy and France. Fábio Porto's co-authors include Christelle Vangenot, Jose Macedo, Stefano Spaccapietra, Maria Luisa Damiani, Christine Parent, Eduardo Ogasawara, S. Sambataro, Daniel de Oliveira, Patrick Valduriez and Jonas Dias and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Neurocomputing.

In The Last Decade

Fábio Porto

111 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A conceptual view on trajectories

2007 395 citations Fábio Porto et al. profile →

Peers

Fábio Porto

SP

CNC

IS

AI

TRANS

Jim Gray United States

Robert Ross United States

Kenneth Moreland United States

Hank Childs United States

Jinbao Wang China

Camil Demetrescu Italy

Paul Stolorz United States

Todd Tannenbaum United States

Jeremy Kepner United States

Morris Riedel Germany

Jim Gray United States

Fábio Porto

642 ×1.8

SP

804 ×2.4

CNC

338 ×1.5

IS

401 ×1.9

AI

43 ×0.2

TRANS

Citations per year, relative to Fábio Porto Fábio Porto (= 1×) peers Jim Gray

Countries citing papers authored by Fábio Porto

Since Specialization

Citations

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

Fields of papers citing papers by Fábio Porto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Porto

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bertrand, Alvin L., et al.. (2025). Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework. IT University Of Copenhagen (IT University of Copenhagen). 35–38. 1 indexed citations

2.

Ogasawara, Eduardo, et al.. (2025). Event Detection in Time Series.

3.

Pacitti, Esther, Florent Masséglia, Reza Akbarinia, et al.. (2024). SoftED: Metrics for soft evaluation of time series event detection. Computers & Industrial Engineering. 198. 110728–110728. 3 indexed citations

4.

Porto, Fábio, et al.. (2024). Discovering Denial Constraints in Dynamic Datasets. 3546–3558.

5.

Costa, Anna Helena Reali, et al.. (2024). A Digital Twin System for Oil And Gas Industry: A Use Case on Mooring Lines Integrity Monitoring. 322–331. 1 indexed citations

6.

Porto, Fábio, et al.. (2024). D-AI2-M: Ethanol Production Forecasting in Brazil Using Data-Centric Artificial Intelligence Methodology. IEEE Latin America Transactions. 22(11). 899–910. 1 indexed citations

7.

Oliveira, Jonice, et al.. (2023). Análise Temporal de Coesão de Discurso em Mídia Social Durante Grandes Eventos. 234–239. 1 indexed citations

8.

Saldanha, Raphael de Freitas, et al.. (2023). Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-Learning. SPIRE - Sciences Po Institutional REpository. 318–323.

9.

Porto, Fábio, et al.. (2023). Precipitation Nowcasting using Data Augmentation. 318–323.

10.

Ferro, Mariza, et al.. (2022). Towards a Definition for Extreme Weather Events in Rio de Janeiro City. 181–186. 1 indexed citations

11.

Porto, Fábio, et al.. (2020). An analysis of malaria in the Brazilian Legal Amazon using divergent association rules. Journal of Biomedical Informatics. 108. 103512–103512. 5 indexed citations

12.

Campisano, Riccardo, Fábio Porto, Esther Pacitti, Florent Masséglia, & Eduardo Ogasawara. (2016). Spatial Sequential Pattern Mining for Seismic Data. 241–246. 4 indexed citations

13.

Boeres, Cristina, et al.. (2015). Avaliação da Localidade de Dados Intermediários na Execução Paralela de Workflows Bigdata.. 29–40. 1 indexed citations

14.

Boeres, Cristina, et al.. (2014). Análise de Estratégias de Acesso a Grandes Volumes de Dados.. 27–36.

15.

Porto, Fábio, et al.. (2013). A Lattice-Theoretic Approach for Representing and Managing Hypothesis-driven Research.. 1 indexed citations

16.

Porto, Fábio, et al.. (2013). Orbit: Efficient Processing of Iterations.. 1 indexed citations

17.

Calbimonte, Jean-Paul, Fábio Porto, & C. Maria Keet. (2009). Functional dependencies in OWL ABoxes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 16–30. 3 indexed citations

18.

Vu, Le‐Hung, Fábio Porto, Karl Aberer, & Manfred Hauswirth. (2007). An Extensible and Personalized Approach to QoS-enabled Service Discovery. 37–45. 6 indexed citations

19.

Porto, Fábio, et al.. (2004). Query Processing in ROSA Data Model.. 204–218. 2 indexed citations

20.

Porto, Fábio, et al.. (2002). Um framework para construção de máquinas de execução de consultas relacionais. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 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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