Sergio Ramírez‐Gallego

2.6k total citations · 2 hit papers
21 papers, 1.7k citations indexed

About

Sergio Ramírez‐Gallego is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sergio Ramírez‐Gallego has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sergio Ramírez‐Gallego's work include Machine Learning and Data Classification (14 papers), Data Stream Mining Techniques (8 papers) and Data Mining Algorithms and Applications (5 papers). Sergio Ramírez‐Gallego is often cited by papers focused on Machine Learning and Data Classification (14 papers), Data Stream Mining Techniques (8 papers) and Data Mining Algorithms and Applications (5 papers). Sergio Ramírez‐Gallego collaborates with scholars based in Spain, Saudi Arabia and United Kingdom. Sergio Ramírez‐Gallego's co-authors include Francisco Herrera, Salvador García, José M. Benítez, Julián Luengo, Bartosz Krawczyk, Michał Woźniak, David Martínez‐Rego, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos and Diego García‐Gil and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Sergio Ramírez‐Gallego

21 papers receiving 1.6k 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.

Big data preprocessing: methods and prospects

2016 399 citations Salvador García, Sergio Ramírez‐Gallego et al. profile →
A survey on data preprocessing for data stream mining: Current status and future directions

2017 312 citations Sergio Ramírez‐Gallego, Bartosz Krawczyk et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergio Ramírez‐Gallego Spain	16	933	363	224	216	168	21	1.7k
Serdar Korukoğlu Türkiye	16	1.1k 1.2×	318 0.9×	156 0.7×	276 1.3×	101 0.6×	43	2.0k
Detlef Nauck United Kingdom	20	1.5k 1.6×	262 0.7×	151 0.7×	191 0.9×	168 1.0×	66	2.3k
Asad Masood Khattak United Arab Emirates	24	684 0.7×	478 1.3×	426 1.9×	250 1.2×	95 0.6×	112	1.6k
Abdelaziz Bouras Qatar	21	724 0.8×	444 1.2×	269 1.2×	393 1.8×	166 1.0×	111	2.2k
Raymond K. Wong Australia	20	929 1.0×	513 1.4×	513 2.3×	192 0.9×	213 1.3×	215	1.8k
Suliman Mohamed Fati Saudi Arabia	22	571 0.6×	205 0.6×	216 1.0×	199 0.9×	153 0.9×	74	1.6k
Mehmed Kantardzic United States	19	778 0.8×	258 0.7×	252 1.1×	128 0.6×	206 1.2×	101	1.5k
Hesham A. Hefny Egypt	20	723 0.8×	269 0.7×	136 0.6×	324 1.5×	108 0.6×	163	1.9k
Chang-Shing Lee Taiwan	26	1.5k 1.6×	766 2.1×	237 1.1×	398 1.8×	265 1.6×	135	2.5k
Gongqing Wu China	13	1.1k 1.1×	753 2.1×	384 1.7×	287 1.3×	209 1.2×	55	2.2k

Countries citing papers authored by Sergio Ramírez‐Gallego

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Ramírez‐Gallego

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Ramírez‐Gallego. 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 Sergio Ramírez‐Gallego. The network helps show where Sergio Ramírez‐Gallego may publish in the future.

Co-authorship network of co-authors of Sergio Ramírez‐Gallego

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Ramírez‐Gallego. A scholar is included among the top collaborators of Sergio Ramírez‐Gallego 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 Sergio Ramírez‐Gallego. Sergio Ramírez‐Gallego 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

Lopez, Daphne, Sergio Ramírez‐Gallego, Salvador García, Naixue Xiong, & Francisco Herrera. (2021). BELIEF: A distance-based redundancy-proof feature selection method for Big Data. Information Sciences. 558. 124–139. 10 indexed citations

Luengo, Julián, Diego García‐Gil, Sergio Ramírez‐Gallego, Salvador García, & Francisco Herrera. (2020). Big Data Preprocessing : Enabling Smart Data. 17 indexed citations

Luengo, Julián, Diego García‐Gil, Sergio Ramírez‐Gallego, Salvador García, & Francisco Herrera. (2020). Big Data Preprocessing. Institutional Repository of the University of Granada (University of Granada). 64 indexed citations

García‐Gil, Diego, Sergio Ramírez‐Gallego, Salvador García, & Francisco Herrera. (2018). Principal Components Analysis Random Discretization Ensemble for Big Data. Knowledge-Based Systems. 150. 166–174. 30 indexed citations

Ramírez‐Gallego, Sergio, Salvador García, & Francisco Herrera. (2018). Online entropy-based discretization for data streaming classification. Future Generation Computer Systems. 86. 59–70. 12 indexed citations

Ramírez‐Gallego, Sergio, David Martínez‐Rego, Verónica Bolón‐Canedo, et al.. (2017). An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Transactions on Systems Man and Cybernetics Systems. 48(9). 1441–1453. 59 indexed citations

Ramírez‐Gallego, Sergio, Bartosz Krawczyk, Salvador García, Michał Woźniak, & Francisco Herrera. (2017). A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing. 239. 39–57. 312 indexed citations breakdown →

Ramírez‐Gallego, Sergio, Alberto Fernández, Salvador García, Min Chen, & Francisco Herrera. (2017). Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. Information Fusion. 42. 51–61. 98 indexed citations

García‐Gil, Diego, Sergio Ramírez‐Gallego, Salvador García, & Francisco Herrera. (2017). A comparison on scalability for batch big data processing on Apache Spark and Apache Flink. 2(1). 61 indexed citations

10.

Ramírez‐Gallego, Sergio, Salvador García, José M. Benítez, & Francisco Herrera. (2017). A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm and Evolutionary Computation. 38. 240–250. 25 indexed citations

11.

Xiong, Ning, et al.. (2017). MapReduce distributed highly random fuzzy forest for noisy big data. 18. 560–567. 1 indexed citations

12.

Ramírez‐Gallego, Sergio, et al.. (2016). A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Transactions on Cloud Computing. 6(4). 929–941. 37 indexed citations

13.

García, Salvador, Sergio Ramírez‐Gallego, Julián Luengo, José M. Benítez, & Francisco Herrera. (2016). Big data preprocessing: methods and prospects. 1(1). 399 indexed citations breakdown →

14.

Ramírez‐Gallego, Sergio, David Martínez‐Rego, Verónica Bolón‐Canedo, et al.. (2016). Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. International Journal of Intelligent Systems. 32(2). 134–152. 133 indexed citations

15.

Ramírez‐Gallego, Sergio, et al.. (2015). Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 2015 IEEE Trustcom/BigDataSE/ISPA. 33–40. 14 indexed citations

16.

Ramírez‐Gallego, Sergio, Salvador García, David Martínez‐Rego, et al.. (2015). Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 6(1). 5–21. 111 indexed citations

17.

Peralta, Daniel, Sara del Río, Sergio Ramírez‐Gallego, et al.. (2015). Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach. Mathematical Problems in Engineering. 2015. 1–11. 102 indexed citations

18.

Ramírez‐Gallego, Sergio, Salvador García, José M. Benítez, & Francisco Herrera. (2015). Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Transactions on Cybernetics. 46(3). 595–608. 38 indexed citations

19.

García, Salvador, Joaquín Derrac, Sergio Ramírez‐Gallego, & Francisco Herrera. (2014). On the statistical analysis of the parameters’ trend in a machine learning algorithm. Progress in Artificial Intelligence. 3(1). 51–53. 2 indexed citations

20.

Carmona, C. J., et al.. (2012). Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Systems with Applications. 39(12). 11243–11249. 88 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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