Enislay Ramentol

1.1k total citations · 1 hit paper
10 papers, 796 citations indexed

About

Enislay Ramentol is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Enislay Ramentol has authored 10 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Enislay Ramentol's work include Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (4 papers) and Electricity Theft Detection Techniques (3 papers). Enislay Ramentol is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (4 papers) and Electricity Theft Detection Techniques (3 papers). Enislay Ramentol collaborates with scholars based in Spain, Germany and Cuba. Enislay Ramentol's co-authors include Francisco Herrera, Rafael Bello, Yailé Caballero Mota, Chris Cornelis, Nele Verbiest, Baojun Qiao, Jingjun Bi, Hamido Fujita, Chongsheng Zhang and Shixin Xu and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Enislay Ramentol

9 papers receiving 760 citations

Hit Papers

SMOTE-RSB *: a hybrid pre... 2011 2026 2016 2021 2011 100 200 300
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.

  1. SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
    2011 354 citations Enislay Ramentol, Yailé Caballero Mota et al. Knowledge and Information Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Enislay Ramentol 576 230 103 90 67 10 796
Felix Last 621 1.1× 242 1.1× 108 1.0× 72 0.8× 52 0.8× 7 870
Xibei Yang 543 0.9× 149 0.6× 116 1.1× 75 0.8× 44 0.7× 26 693
Md. Monirul Islam 706 1.2× 304 1.3× 88 0.9× 96 1.1× 38 0.6× 13 861
Şeyda Ertekin 549 1.0× 207 0.9× 132 1.3× 78 0.9× 52 0.8× 32 912
Xinmin Tao 501 0.9× 169 0.7× 131 1.3× 41 0.5× 159 2.4× 40 750
Sukarna Barua 702 1.2× 304 1.3× 90 0.9× 97 1.1× 37 0.6× 7 891
Suhel Hammoud 447 0.8× 96 0.4× 132 1.3× 241 2.7× 42 0.6× 16 887
Shang Gao 359 0.6× 83 0.4× 148 1.4× 146 1.6× 41 0.6× 76 709
Samad Nejatian 367 0.6× 241 1.0× 156 1.5× 82 0.9× 98 1.5× 63 808
Jafar Tanha 512 0.9× 59 0.3× 178 1.7× 93 1.0× 39 0.6× 76 841

Countries citing papers authored by Enislay Ramentol

Since Specialization
Citations

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

Fields of papers citing papers by Enislay Ramentol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enislay Ramentol

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

All Works

10 of 10 papers shown
1.
2.
Ramentol, Enislay, et al.. (2023). Short-Term Air Pollution Forecasting Using Embeddings in Neural Networks. Atmosphere. 14(2). 298–298. 5 indexed citations
3.
Wagner, Andreas, et al.. (2022). Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks. Journal of commodity markets. 28. 100246–100246. 21 indexed citations
4.
Ramentol, Enislay, et al.. (2021). A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines. Energy and AI. 4. 100064–100064. 25 indexed citations
5.
Ramentol, Enislay, et al.. (2020). A novel methodology to classify test cases using natural language processing and imbalanced learning. Engineering Applications of Artificial Intelligence. 95. 103878–103878. 29 indexed citations
6.
Zhang, Chongsheng, Jingjun Bi, Shixin Xu, et al.. (2019). Multi-Imbalance: An open-source software for multi-class imbalance learning. Knowledge-Based Systems. 174. 137–143. 137 indexed citations
7.
Ramentol, Enislay, et al.. (2015). Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Engineering Applications of Artificial Intelligence. 48. 134–139. 66 indexed citations
8.
Verbiest, Nele, Enislay Ramentol, Chris Cornelis, & Francisco Herrera. (2014). Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. Applied Soft Computing. 22. 511–517. 76 indexed citations
9.
Ramentol, Enislay, Sarah Vluymans, Nele Verbiest, et al.. (2014). IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Transactions on Fuzzy Systems. 23(5). 1622–1637. 83 indexed citations
10.
Ramentol, Enislay, Yailé Caballero Mota, Rafael Bello, & Francisco Herrera. (2011). SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory. Knowledge and Information Systems. 33(2). 245–265. 354 indexed citations breakdown →

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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