Sara del Río

1.5k total citations
13 papers, 1.1k citations indexed

About

Sara del Río is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Sara del Río has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sara del Río's work include Imbalanced Data Classification Techniques (8 papers), Data Mining Algorithms and Applications (4 papers) and Machine Learning and Data Classification (3 papers). Sara del Río is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Data Mining Algorithms and Applications (4 papers) and Machine Learning and Data Classification (3 papers). Sara del Río collaborates with scholars based in Spain, Belgium and Saudi Arabia. Sara del Río's co-authors include Francisco Herrera, José M. Benítez, Victoria López, Alberto Fernández, Nitesh V. Chawla, Isaac Triguero, Abdullah Bawakid, María José del Jesús, Sergio Ramírez‐Gallego and Daniel Peralta and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and BioMed Research International.

In The Last Decade

Sara del Río

13 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara del Río Spain	11	864	316	170	125	105	13	1.1k
Show‐Jane Yen Taiwan	14	608 0.7×	344 1.1×	157 0.9×	89 0.7×	55 0.5×	40	941
C. J. Carmona Spain	16	654 0.8×	385 1.2×	111 0.7×	57 0.5×	42 0.4×	46	914
Anjana Gosain India	16	507 0.6×	383 1.2×	90 0.5×	116 0.9×	68 0.6×	112	1.1k
Andrea Dal Pozzolo Belgium	7	1.1k 1.3×	227 0.7×	180 1.1×	112 0.9×	43 0.4×	9	1.2k
Yann‐Aël Le Borgne Belgium	12	787 0.9×	177 0.6×	192 1.1×	109 0.9×	45 0.4×	26	1.1k
Tawfiq Hasanin Saudi Arabia	12	358 0.4×	153 0.5×	82 0.5×	67 0.5×	74 0.7×	26	672
Man Leung Wong Hong Kong	18	667 0.8×	164 0.5×	41 0.2×	83 0.7×	20 0.2×	45	999
D. P. Acharjya India	17	311 0.4×	215 0.7×	52 0.3×	172 1.4×	68 0.6×	60	897
Giuliano Armano Italy	15	415 0.5×	120 0.4×	99 0.6×	102 0.8×	25 0.2×	94	942
Francisco Charte Spain	15	676 0.8×	235 0.7×	79 0.5×	176 1.4×	32 0.3×	41	990

Countries citing papers authored by Sara del Río

Since Specialization

Citations

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

Fields of papers citing papers by Sara del Río

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara del Río. 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 Sara del Río. The network helps show where Sara del Río may publish in the future.

Co-authorship network of co-authors of Sara del Río

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

All Works

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13 of 13 papers shown

Ventura‐Traveset, Javier, et al.. (2020). ESA GNSS Science Support Centre A World-wide Reference GNSS Environment for Scientific Communities. Proceedings of the Satellite Division's International Technical Meeting (Online). 1174–1199. 1 indexed citations

Fernández, Alberto, Sara del Río, Nitesh V. Chawla, & Francisco Herrera. (2017). An insight into imbalanced Big Data classification: outcomes and challenges. Complex & Intelligent Systems. 3(2). 105–120. 166 indexed citations

Fernández, Alberto, Sara del Río, Abdullah Bawakid, & Francisco Herrera. (2016). Fuzzy rule based classification systems for big data with MapReduce: granularity analysis. Advances in Data Analysis and Classification. 11(4). 711–730. 36 indexed citations

Fernández, Alberto, Sara del Río, & Francisco Herrera. (2016). A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification. 1437–1444. 11 indexed citations

Río, Sara del, et al.. (2015). An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species. BioMed Research International. 2015. 1–12. 10 indexed citations

Triguero, Isaac, Sara del Río, Victoria López, et al.. (2015). ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowledge-Based Systems. 87. 69–79. 95 indexed citations

Río, Sara del, José M. Benítez, & Francisco Herrera. (2015). Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. 2015 IEEE Trustcom/BigDataSE/ISPA. 285. 180–185. 23 indexed citations

Río, Sara del, Victoria López, José M. Benítez, & Francisco Herrera. (2015). A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. International Journal of Computational Intelligence Systems. 8(3). 422–422. 79 indexed citations

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

10.

Río, Sara del, Victoria López, José M. Benítez, & Francisco Herrera. (2014). On the use of MapReduce for imbalanced big data using Random Forest. Information Sciences. 285. 112–137. 232 indexed citations

11.

Fernández, Alberto, Sara del Río, Victoria López, et al.. (2014). Big Data with Cloud Computing: an insight on the computing environment,MapReduce, and programming frameworks. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 4(5). 380–409. 155 indexed citations

12.

López, Victoria, Sara del Río, José M. Benítez, & Francisco Herrera. (2014). On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data. 1905–1912. 18 indexed citations

13.

López, Victoria, Sara del Río, José M. Benítez, & Francisco Herrera. (2014). Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets and Systems. 258. 5–38. 208 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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