Paulo J. Azevedo

682 total citations
23 papers, 194 citations indexed

About

Paulo J. Azevedo is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Paulo J. Azevedo has authored 23 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Paulo J. Azevedo's work include Data Mining Algorithms and Applications (11 papers), Time Series Analysis and Forecasting (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Paulo J. Azevedo is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Time Series Analysis and Forecasting (6 papers) and Rough Sets and Fuzzy Logic (5 papers). Paulo J. Azevedo collaborates with scholars based in Portugal, Netherlands and Canada. Paulo J. Azevedo's co-authors include N. F. Castro, Alípio Jorge, Pedro G. Ferreira, Carlos Soares, Cláudio Rebelo de Sá, Wouter Duivesteijn, Joaquim Pinto da Costa, Arno Knobbe, Fernando Pereira and Luı́s Torgo and has published in prestigious journals such as Machine Learning, Data Mining and Knowledge Discovery and The Journal of Logic Programming.

In The Last Decade

Paulo J. Azevedo

23 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paulo J. Azevedo Portugal	8	113	91	57	27	25	23	194
Junmei Wang China	9	53 0.5×	124 1.4×	105 1.8×	10 0.4×	39 1.6×	24	228
Vo Thi Ngoc Chau Vietnam	10	24 0.2×	191 2.1×	46 0.8×	34 1.3×	24 1.0×	33	243
Arnaud Soulet France	9	75 0.7×	72 0.8×	90 1.6×	46 1.7×	24 1.0×	20	171
Kieran Greer United Kingdom	6	36 0.3×	134 1.5×	53 0.9×	16 0.6×	17 0.7×	39	182
Jason Catlett Australia	4	22 0.2×	201 2.2×	117 2.1×	54 2.0×	24 1.0×	7	254
Luca Grilli Italy	7	31 0.3×	30 0.3×	33 0.6×	38 1.4×	75 3.0×	17	168
Timm Jansen Germany	5	86 0.8×	212 2.3×	38 0.7×	3 0.1×	32 1.3×	6	241
Guillaume Raschia France	6	80 0.7×	111 1.2×	50 0.9×	33 1.2×	16 0.6×	16	173
Noureddine Mouaddib France	6	113 1.0×	98 1.1×	59 1.0×	44 1.6×	36 1.4×	29	183
Changsung Kang United States	9	28 0.2×	170 1.9×	125 2.2×	9 0.3×	45 1.8×	15	235

Countries citing papers authored by Paulo J. Azevedo

Since Specialization

Citations

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

Fields of papers citing papers by Paulo J. Azevedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paulo J. Azevedo. 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 Paulo J. Azevedo. The network helps show where Paulo J. Azevedo may publish in the future.

Co-authorship network of co-authors of Paulo J. Azevedo

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

All Works

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20 of 20 papers shown

Azevedo, Paulo J., et al.. (2022). Subgroup mining for performance analysis of regression models. Expert Systems. 40(1). 3 indexed citations

Tabassum, Shazia, et al.. (2022). Social network analytics and visualization: Dynamic topic‐based influence analysis in evolving micro‐blogs. Expert Systems. 40(5). 6 indexed citations

Sá, Cláudio Rebelo de, Wouter Duivesteijn, Paulo J. Azevedo, et al.. (2018). Discovering a taste for the unusual: exceptional models for preference mining. Machine Learning. 107(11). 1775–1807. 10 indexed citations

Sá, Cláudio Rebelo de, Paulo J. Azevedo, Carlos Soares, Alípio Jorge, & Arno Knobbe. (2017). Preference Rules for Label Ranking: Mining Patterns in Multi-Target Relations. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3 indexed citations

Castro, N. F. & Paulo J. Azevedo. (2015). Automatically estimating iSAX parameters. Intelligent Data Analysis. 19(3). 581–595. 3 indexed citations

Azevedo, Paulo J., et al.. (2014). Contrast set mining in temporal databases. Expert Systems. 32(3). 435–443. 6 indexed citations

Castro, N. F. & Paulo J. Azevedo. (2012). Significant motifs in time series. Statistical Analysis and Data Mining The ASA Data Science Journal. 5(1). 35–53. 16 indexed citations

Sá, Cláudio Rebelo de, Carlos Soares, Alípio Jorge, Paulo J. Azevedo, & Joaquim Pinto da Costa. (2011). Mining association rules for label ranking. RepositóriUM (Universidade do Minho). 11 indexed citations

Castro, N. F. & Paulo J. Azevedo. (2011). Time Series Motifs Statistical Significance. RepositóriUM (Universidade do Minho). 687–698. 13 indexed citations

10.

Castro, N. F. & Paulo J. Azevedo. (2010). Multiresolution Motif Discovery in Time Series. 665–676. 51 indexed citations

11.

Azevedo, Paulo J. & Alípio Jorge. (2010). Ensembles of jittered association rule classifiers. Data Mining and Knowledge Discovery. 21(1). 91–129. 5 indexed citations

12.

Azevedo, Paulo J.. (2010). Rules for contrast sets. Intelligent Data Analysis. 14(6). 623–640. 7 indexed citations

13.

Ferreira, Pedro G. & Paulo J. Azevedo. (2007). Evaluating Protein Motif Significance Measures: A Case Study on Prosite Patterns. 1. 171–178. 5 indexed citations

14.

Ferreira, Pedro G., et al.. (2007). A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering. 268. 461–468. 1 indexed citations

15.

Ferreira, Pedro G. & Paulo J. Azevedo. (2007). Evaluating deterministic motif significance measures in protein databases. Algorithms for Molecular Biology. 2(1). 16–16. 9 indexed citations

16.

Azevedo, Paulo J. & Pedro G. Ferreira. (2006). Query Driven Sequence Pattern Mining.. RepositóriUM (Universidade do Minho). 1–15. 2 indexed citations

17.

Jorge, Alípio, et al.. (2004). MODEL-BASED COLLABORATIVE FILTERING FOR TEAM BUILDING SUPPORT. 241–248. 1 indexed citations

18.

Azevedo, Paulo J.. (2003). CAREN - A java based apriori implementation for classification purposes. RepositóriUM (Universidade do Minho). 4 indexed citations

19.

Jorge, Alípio, et al.. (2002). Recommendation With Association Rules: A Web Mining Application. 5 indexed citations

20.

Azevedo, Paulo J.. (1997). Magic sets with full sharing. The Journal of Logic Programming. 30(3). 223–237. 4 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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