Raciel Yera

985 total citations
25 papers, 630 citations indexed

About

Raciel Yera is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Raciel Yera has authored 25 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 10 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Raciel Yera's work include Recommender Systems and Techniques (18 papers), Multi-Criteria Decision Making (5 papers) and Data Stream Mining Techniques (4 papers). Raciel Yera is often cited by papers focused on Recommender Systems and Techniques (18 papers), Multi-Criteria Decision Making (5 papers) and Data Stream Mining Techniques (4 papers). Raciel Yera collaborates with scholars based in Cuba, Spain and Saudi Arabia. Raciel Yera's co-authors include Luis Martı́nez, Ahmad A. Alzahrani, Yailé Caballero Mota, Jorge Castro, Rosa M. Rodríguez, Manuel J. Barranco, Abraham Gutiérrez, Jesús Bobadilla, Pedro Sánchez and Álvaro Labella and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Raciel Yera

24 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raciel Yera Cuba 13 444 256 130 107 67 25 630
Thi Ngoc Trang Tran Austria 12 309 0.7× 266 1.0× 65 0.5× 46 0.4× 29 0.4× 37 584
Alan Said Germany 19 823 1.9× 419 1.6× 250 1.9× 233 2.2× 54 0.8× 90 1.1k
Martin Stettinger Austria 10 276 0.6× 146 0.6× 47 0.4× 54 0.5× 33 0.5× 45 405
Il Young Choi South Korea 7 391 0.9× 182 0.7× 135 1.0× 55 0.5× 35 0.5× 27 602
Nirmalie Wiratunga United Kingdom 14 138 0.3× 559 2.2× 64 0.5× 31 0.3× 24 0.4× 51 798
Sharifullah Khan Pakistan 11 161 0.4× 220 0.9× 28 0.2× 38 0.4× 48 0.7× 69 449
Seda Özmutlu Türkiye 15 490 1.1× 259 1.0× 50 0.4× 57 0.5× 13 0.2× 35 748
Michele Melchiori Italy 12 307 0.7× 239 0.9× 34 0.3× 48 0.4× 13 0.2× 59 504
Daqing Zhang France 4 296 0.7× 190 0.7× 199 1.5× 24 0.2× 58 0.9× 5 707
Siddharth Kaza United States 13 204 0.5× 121 0.5× 35 0.3× 36 0.3× 70 1.0× 60 424

Countries citing papers authored by Raciel Yera

Since Specialization
Citations

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

Fields of papers citing papers by Raciel Yera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raciel Yera

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

All Works

20 of 20 papers shown
1.
Mota, Yailé Caballero, et al.. (2024). Exploring content-based group recommendation for suggesting restaurants in Havana City. JUCS - Journal of Universal Computer Science. 30(1). 106–129.
2.
Yera, Raciel, et al.. (2023). La innovación de productos turísticos mediante sistemas adaptativos complejos para la generación de ventajas competitivas en Cuba. Investigaciones Turísticas. 28–55. 2 indexed citations
3.
Yera, Raciel, Ahmad A. Alzahrani, Luis Martı́nez, & Rosa M. Rodríguez. (2023). A Systematic Review on Food Recommender Systems for Diabetic Patients. International Journal of Environmental Research and Public Health. 20(5). 4248–4248. 15 indexed citations
4.
Bobadilla, Jesús, Abraham Gutiérrez, Raciel Yera, & Luis Martı́nez. (2023). Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks. Knowledge-Based Systems. 280. 111016–111016. 8 indexed citations
5.
Yera, Raciel, Ahmad A. Alzahrani, & Luis Martı́nez. (2022). A fuzzy content-based group recommender system with dynamic selection of the aggregation functions. International Journal of Approximate Reasoning. 150. 273–296. 13 indexed citations
6.
Yera, Raciel, et al.. (2021). Content-based group recommender systems: A general taxonomy and further improvements. Expert Systems with Applications. 184. 115444–115444. 44 indexed citations
7.
Yera, Raciel, et al.. (2019). A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items. IEEE Access. 7. 182664–182678. 3 indexed citations
8.
Yera, Raciel, et al.. (2019). An Intelligent System for Sequencing Product Innovation Activities in Hotels. IEEE Latin America Transactions. 17(2). 305–315. 5 indexed citations
9.
Yera, Raciel & Luis Martı́nez. (2019). A Health-Awareness Nutrition Recommender System. 1 indexed citations
10.
Yera, Raciel, Manuel J. Barranco, Ahmad A. Alzahrani, & Luis Martı́nez. (2019). Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation. International Journal of Computational Intelligence Systems. 12(2). 1382–1382. 9 indexed citations
11.
Yera, Raciel, Yailé Caballero Mota, & Luis Martı́nez. (2018). A Recommender System for Programming Online Judges Using Fuzzy Information Modeling. Informatics. 5(2). 17–17. 18 indexed citations
12.
Yera, Raciel & Luis Martı́nez. (2017). Fuzzy Tools in Recommender Systems: A Survey. International Journal of Computational Intelligence Systems. 10(1). 776–776. 119 indexed citations
13.
Yera, Raciel & Luis Martı́nez. (2017). A recommendation approach for programming online judges supported by data preprocessing techniques. Applied Intelligence. 47(2). 277–290. 46 indexed citations
14.
Castro, Jorge, Raciel Yera, & Luis Martı́nez. (2017). A fuzzy approach for natural noise management in group recommender systems. Expert Systems with Applications. 94. 237–249. 26 indexed citations
15.
Castro, Jorge, Raciel Yera, & Luis Martı́nez. (2016). An empirical study of natural noise management in group recommendation systems. Decision Support Systems. 94. 1–11. 35 indexed citations
16.
Yera, Raciel, Jorge Castro, & Luis Martı́nez. (2015). A fuzzy model for managing natural noise in recommender systems. Applied Soft Computing. 40. 187–198. 50 indexed citations
17.
Yera, Raciel, Yailé Caballero Mota, & Luis Martı́nez. (2014). Correcting noisy ratings in collaborative recommender systems. Knowledge-Based Systems. 76. 96–108. 64 indexed citations
18.
Yera, Raciel, et al.. (2013). A Regularity-Based Preprocessing Method for Collaborative Recommender Systems. Journal of Information Processing Systems. 9(3). 435–460. 8 indexed citations
19.
Yera, Raciel, Luis Martı́nez, & Yailé Caballero Mota. (2013). Managing natural noise in collaborative recommender systems. 19. 872–877. 2 indexed citations
20.

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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