Luis E. Zárate

1.5k total citations
128 papers, 948 citations indexed

About

Luis E. Zárate is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Luis E. Zárate has authored 128 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 34 papers in Computational Theory and Mathematics and 28 papers in Information Systems. Recurrent topics in Luis E. Zárate's work include Rough Sets and Fuzzy Logic (28 papers), Data Mining Algorithms and Applications (20 papers) and Machine Learning in Bioinformatics (11 papers). Luis E. Zárate is often cited by papers focused on Rough Sets and Fuzzy Logic (28 papers), Data Mining Algorithms and Applications (20 papers) and Machine Learning in Bioinformatics (11 papers). Luis E. Zárate collaborates with scholars based in Brazil, Spain and France. Luis E. Zárate's co-authors include Cristiane Neri Nobre, Seiji Isotani, Sérgio M. Dias, Luciana Oliveira e Silva, C. Quirós, J. M. Alameda, M. Vélez, J. I. Martı́n, Henrique Cota de Freitas and Mark W. Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review B and Journal of Hydrology.

In The Last Decade

Luis E. Zárate

107 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luis E. Zárate Brazil	13	329	217	156	117	115	128	948
Wenbin Liu China	23	257 0.8×	260 1.2×	102 0.7×	104 0.9×	472 4.1×	111	1.7k
Xing Wu China	19	446 1.4×	212 1.0×	150 1.0×	45 0.4×	328 2.9×	126	1.5k
İsmail Hakkı Toroslu Türkiye	18	315 1.0×	208 1.0×	307 2.0×	86 0.7×	56 0.5×	86	1.1k
Kevin Waugh United Kingdom	15	700 2.1×	192 0.9×	158 1.0×	27 0.2×	23 0.2×	56	1.1k
Moninder Singh United States	17	560 1.7×	94 0.4×	162 1.0×	55 0.5×	95 0.8×	53	958
Shotaro Akaho Japan	15	510 1.6×	98 0.5×	156 1.0×	58 0.5×	44 0.4×	100	981
Fabio Stella Italy	18	469 1.4×	220 1.0×	220 1.4×	44 0.4×	35 0.3×	72	996
Olivier Teytaud France	19	843 2.6×	123 0.6×	50 0.3×	205 1.8×	93 0.8×	101	1.2k
Katarzyna Musiał Australia	20	738 2.2×	65 0.3×	237 1.5×	40 0.3×	55 0.5×	81	1.5k

Countries citing papers authored by Luis E. Zárate

Since Specialization

Citations

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

Fields of papers citing papers by Luis E. Zárate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis E. Zárate. 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 Luis E. Zárate. The network helps show where Luis E. Zárate may publish in the future.

Co-authorship network of co-authors of Luis E. Zárate

This figure shows the co-authorship network connecting the top 25 collaborators of Luis E. Zárate. A scholar is included among the top collaborators of Luis E. Zárate 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 Luis E. Zárate. Luis E. Zárate 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

Zárate, Luis E., et al.. (2024). Identificando padrões de depressão em idosos por meio de mineração de dados. Journal of Health Informatics. 16.

Carvalho, Newton Sérgio de, M. Gomes, & Luis E. Zárate. (2024). Mineração de dados no diagnóstico de hipertensão baseado na Pesquisa Nacional em Saúde 2019. Journal of Health Informatics. 16(Especial).

Bleicher, Lucas, et al.. (2023). Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm. Computers in Biology and Medicine. 158. 106799–106799. 1 indexed citations

Zárate, Luis E., et al.. (2023). CAPTO - A method for understanding problem domains for data science projects. Concilium. 23(15). 922–941. 4 indexed citations

Zárate, Luis E., et al.. (2023). CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models. Expert Systems with Applications. 228. 120373–120373. 1 indexed citations

Nobre, Cristiane Neri, et al.. (2022). Formal Concept Analysis Applied to a Longitudinal Study of COVID-19. 1 indexed citations

Mini, Raquel A. F., et al.. (2021). Analysis and Prediction of Childhood Pneumonia Deaths using Machine Learning Algorithms. 16–23. 1 indexed citations

Missaoui, Rokia, et al.. (2020). Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts. IEEE Access. 8. 134161–134175. 1 indexed citations

Zárate, Luis E., et al.. (2019). A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites. Journal of Computational Biology. 26(5). 442–456. 4 indexed citations

10.

Zárate, Luis E., et al.. (2018). Recommending Scientific Collaboration from ResearchGate. 336–341. 10 indexed citations

11.

Zárate, Luis E., et al.. (2017). Data Preparation for Longitudinal Data Mining: a case study on human ageing. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 7(2). 116–129. 1 indexed citations

12.

Nobre, Cristiane Neri, et al.. (2017). Transductive learning as an alternative to translation initiation site identification. BMC Bioinformatics. 18(1). 81–81. 1 indexed citations

13.

Zárate, Luis E., et al.. (2017). Persuasion strategies in mobile systems. 1–10. 3 indexed citations

14.

Zárate, Luis E., et al.. (2015). Caracterização do Comportamento dos Usuários da Rede Social Facebook Utilizando Métricas de Redes Complexas e Algoritmos de Clusterização.. 39–44.

15.

Nobre, Cristiane Neri, et al.. (2013). Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil. Expert Systems with Applications. 40(18). 7596–7606. 150 indexed citations

16.

Zárate, Luis E., et al.. (2010). Neural models to insert climatic information in thermal model of swimming pools — simulation for different climate conditions and profile of human activity. 21. 3995–4001. 1 indexed citations

17.

Quirós, C., Luca Peverini, Luis E. Zárate, et al.. (2009). Enhancement of antiferromagnetic coupling in magnetic multilayers by low energy ion beam substrate nanopatterning. Journal of Physics Condensed Matter. 21(22). 224024–224024. 6 indexed citations

18.

Zárate, Luis E., et al.. (2006). SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study.. Software Engineering and Knowledge Engineering. 631–638.

19.

Zárate, Luis E., et al.. (2006). Formal Concept Analysis for Data Mining: Theoretical and Practical Approaches. 1–6.

20.

Zárate, Luis E., et al.. (2003). A model-based predictive control scheme for steal rolling mills using neural networks. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 25(1). 12 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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