Reyes Pavón

427 total citations
23 papers, 238 citations indexed

About

Reyes Pavón is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Reyes Pavón has authored 23 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Reyes Pavón's work include Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (5 papers) and Constraint Satisfaction and Optimization (3 papers). Reyes Pavón is often cited by papers focused on Spam and Phishing Detection (5 papers), Text and Document Classification Technologies (5 papers) and Constraint Satisfaction and Optimization (3 papers). Reyes Pavón collaborates with scholars based in Spain, Portugal and Brazil. Reyes Pavón's co-authors include Rosalía Laza, Florentino Fdez‐Riverola, Fernando Díaz, Miguel Reboiro‐Jato, José R. Méndez, David Ruano-Ordás, Daniel Glez‐Peña, M. Victoria Luzón, Enrique Yeguas-Bolívar and Juan M. Corchado and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Reyes Pavón

23 papers receiving 226 citations

Peers

Reyes Pavón

CTM

HIM

Fei Zheng China

Kareem Kamal A. Ghany Egypt

R. Muhammad Atif Azad Ireland

Amit Kumar Das India

Marcel Wever Germany

Yuni Xia United States

Zuhaira Muhammad Zain Saudi Arabia

Leon Bobrowski Poland

R. R. Rajalaxmi India

Vahideh Rezaie Iran

Fei Zheng China

Reyes Pavón

162 ×1.2

28 ×0.6

19 ×0.7

14 ×0.5

CTM

8 ×0.4

HIM

Citations per year, relative to Reyes Pavón Reyes Pavón (= 1×) peers Fei Zheng

Countries citing papers authored by Reyes Pavón

Since Specialization

Citations

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

Fields of papers citing papers by Reyes Pavón

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reyes Pavón

This figure shows the co-authorship network connecting the top 25 collaborators of Reyes Pavón. A scholar is included among the top collaborators of Reyes Pavón 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 Reyes Pavón. Reyes Pavón 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

Pavón, Reyes, et al.. (2024). An enhanced algorithm for semantic-based feature reduction in spam filtering. PeerJ Computer Science. 10. e2206–e2206. 1 indexed citations

Fernández-González, María, Reyes Pavón, Rosalía Laza, et al.. (2023). Alnus Airborne Pollen Trends during the Last 26 Years for Improving Machine Learning-Based Forecasting Methods. Forests. 14(8). 1586–1586. 4 indexed citations

Pavón, Reyes, et al.. (2021). Improvements for research data repositories: The case of text spam. Journal of Information Science. 49(2). 285–301. 2 indexed citations

Pavón, Reyes, et al.. (2021). Improving Pipelining Tools for Pre-processing Data.. International Journal of Interactive Multimedia and Artificial Intelligence. 7(4). 214–224. 1 indexed citations

Ruano-Ordás, David, et al.. (2021). Enhancing representation in the context of multiple-channel spam filtering. Information Processing & Management. 59(2). 102812–102812. 7 indexed citations

Pavón, Reyes, et al.. (2020). Using Natural Language Preprocessing Architecture (NLPA) for Big Data Text Sources. Scientific Programming. 2020. 1–13. 9 indexed citations

López-Fernández, Hugo, Miguel Reboiro‐Jato, Daniel Glez‐Peña, et al.. (2018). GC4S: A bioinformatics-oriented Java software library of reusable graphical user interface components. PLoS ONE. 13(9). e0204474–e0204474. 4 indexed citations

Ruano-Ordás, David, et al.. (2017). Determining the Influence of Class Imbalance for the Triage of Biomedical Documents. Current Bioinformatics. 13(6). 592–605. 5 indexed citations

Ruano-Ordás, David, et al.. (2017). WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora. Sensors. 18(1). 16–16. 13 indexed citations

10.

Ruano-Ordás, David, et al.. (2016). WSF2: A Novel Framework for Filtering Web Spam. Scientific Programming. 2016. 1–18. 12 indexed citations

11.

Pavón, Reyes, et al.. (2016). A case-based reasoning system for aiding detection and classification of nosocomial infections. Decision Support Systems. 84. 104–116. 43 indexed citations

12.

Araújo, J.E., Tiago Santos, Miguel Reboiro‐Jato, et al.. (2015). Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry-based profiling as a step forward in the characterization of peritoneal dialysis effluent. Analytical Methods. 7(18). 7467–7473. 12 indexed citations

13.

Ruano-Ordás, David, et al.. (2015). A dynamic model for integrating simple web spam classification techniques. Expert Systems with Applications. 42(21). 7969–7978. 12 indexed citations

14.

Reboiro‐Jato, Miguel, Rosalía Laza, J. F. Gálvez, et al.. (2011). Using inductive learning to assess compound feed production in cooperative poultry farms. Expert Systems with Applications. 9 indexed citations

15.

Laza, Rosalía, Reyes Pavón, Miguel Reboiro‐Jato, & Florentino Fdez‐Riverola. (2011). Evaluating the effect of unbalanced data in biomedical document classification. PubMed. 8(3). 177–177. 13 indexed citations

16.

Pavón, Reyes, Fernando Díaz, Rosalía Laza, & M. Victoria Luzón. (2009). Experimental evaluation of an automatic parameter setting system. Expert Systems with Applications. 37(7). 5224–5238. 2 indexed citations

17.

Pavón, Reyes, et al.. (2007). A model for parameter setting based on Bayesian networks. Engineering Applications of Artificial Intelligence. 21(1). 14–25. 11 indexed citations

18.

Pavón, Reyes, Fernando Díaz, & M. Victoria Luzón. (2006). An adjustment model in a geometric constraint solving problem. 968–973. 1 indexed citations

19.

Laza, Rosalía, et al.. (2002). A Case-Based Reasoning Approach to the Implementation of BDI Agents.. Mathematical Biosciences. 160(2). 27–30. 2 indexed citations

20.

Pavón, Reyes, et al.. (2001). Improving the revision stage of a CBR system with belief revision techniques.. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 4 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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