Roberto Ruíz

1.3k total citations
41 papers, 800 citations indexed

About

Roberto Ruíz is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Roberto Ruíz has authored 41 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Artificial Intelligence and 8 papers in Software. Recurrent topics in Roberto Ruíz's work include Software Engineering Research (7 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (6 papers). Roberto Ruíz is often cited by papers focused on Software Engineering Research (7 papers), Software Testing and Debugging Techniques (6 papers) and Software Reliability and Analysis Research (6 papers). Roberto Ruíz collaborates with scholars based in Spain, United States and United Kingdom. Roberto Ruíz's co-authors include José C. Riquelme, Jesús S. Aguilar–Ruiz, W. W. McNab, Daniel Rodríguez, Martin Reinhard, Juan J. Cuadrado‐Gallego, Miguel García-Torres, César Hervás‐Martínez, Francisco Fernández‐Navarro and Ricardo de la Vega Marcos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Chemosphere.

In The Last Decade

Roberto Ruíz

38 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Ruíz Spain 15 317 245 175 138 121 41 800
Jingyi Wang China 17 347 1.1× 96 0.4× 36 0.2× 108 0.8× 100 0.8× 98 831
Yasheng Wang China 13 330 1.0× 65 0.3× 96 0.5× 20 0.1× 48 0.4× 48 585
John Peterson United States 13 305 1.0× 66 0.3× 38 0.2× 51 0.4× 31 0.3× 25 685
Xiaokuan Zhang China 14 402 1.3× 191 0.8× 29 0.2× 8 0.1× 39 0.3× 45 715
Kichun Lee South Korea 14 220 0.7× 92 0.4× 180 1.0× 5 0.0× 53 0.4× 49 756

Countries citing papers authored by Roberto Ruíz

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Ruíz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Ruíz

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Ruíz. A scholar is included among the top collaborators of Roberto Ruíz 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 Roberto Ruíz. Roberto Ruíz 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.
Ramesh, G. P., et al.. (2024). Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm. Symmetry. 16(6). 726–726. 17 indexed citations
2.
Aguilar–Ruiz, Jesús S., Roberto Ruíz, & Raúl Giráldez. (2024). Advance Monitoring of COVID-19 Incidence Based on Taxi Mobility: The Infection Ratio Measure. Healthcare. 12(5). 517–517.
3.
Ruíz, Roberto, et al.. (2023). Reference Values on Children’s Hair for 28 Elements (Heavy Metals and Essential Elements) Based on a Pilot Study in a Representative Non-Contaminated Local Area. International Journal of Molecular Sciences. 24(9). 8127–8127. 6 indexed citations
4.
García-Torres, Miguel, Roberto Ruíz, & Federico Divina. (2022). Evolutionary feature selection on high dimensional data using a search space reduction approach. Engineering Applications of Artificial Intelligence. 117. 105556–105556. 24 indexed citations
5.
Ruíz, Roberto, et al.. (2020). Investigating Deep Learning for Predicting Multi-linguistic Interactions with a Chatterbot. 20–25. 2 indexed citations
6.
Rojas, Christian A., Samir Kouro, Roberto Ruíz, et al.. (2015). Multiobjective Predictive Control of a three-phase seven-level cascaded H-bridge converter for grid-connected photovoltaic systems. 1121–1126. 4 indexed citations
7.
Marcos, Ricardo de la Vega, et al.. (2013). Estado de ánimo precompetitivo y rendimiento percibido en Boccia Paralímpica. SHILAP Revista de lepidopterología. 10 indexed citations
8.
Ruíz, Roberto & Edward L. Baker. (2013). The First 6 Months. Journal of Public Health Management and Practice. 19(2). 187–189. 2 indexed citations
9.
Marcos, Ricardo de la Vega, et al.. (2012). Effects of Feedback on Self-Efficacy Expectations Based on the Athlete’s Optimistic Profile. Psychology. 3(12). 1208–1214. 15 indexed citations
10.
Quintana, Miguel, et al.. (2012). Mapping the Runner’s Mind: A New Methodology for Real-Time Tracking of Cognitions. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3(8). 590–594. 4 indexed citations
11.
Rodríguez, Daniel, Roberto Ruíz, José C. Riquelme, & Jesús S. Aguilar–Ruiz. (2011). Searching for rules to detect defective modules: A subgroup discovery approach. Information Sciences. 191. 14–30. 48 indexed citations
12.
Ruíz, Roberto, et al.. (2010). Feature selection applied to data from the Sloan digital sky survey. 611–620. 1 indexed citations
13.
Riquelme, José C., Roberto Ruíz, Daniel Rodríguez, & Jesús S. Aguilar–Ruiz. (2009). JISBD 04: Finding Defective Software Modules by Means of Data Mining Techniques. IEEE Latin America Transactions. 2 indexed citations
14.
Sampedro, Diego, et al.. (2008). Regio- and Stereochemistry of [2 + 2] Photocycloadditions of Imines to Alkenes: A Computational and Experimental Study. The Journal of Organic Chemistry. 73(21). 8331–8336. 12 indexed citations
15.
Ruíz, Roberto. (2007). New heuristics in feature selection for high dimensional data. AI Communications. 20(2). 129–131. 1 indexed citations
16.
Rodríguez, Daniel, Roberto Ruíz, Juan J. Cuadrado‐Gallego, & Jesús S. Aguilar–Ruiz. (2007). Detecting Fault Modules Applying Feature Selection to Classifiers. 667–672. 67 indexed citations
17.
Riquelme, José C., et al.. (2006). Minería de Datos: Conceptos y Tendencias. 10(29). 11–18. 15 indexed citations
18.
Riquelme, José C., et al.. (2006). Data Mining: Concepts and Trends. INTELIGENCIA ARTIFICIAL. 10(29). 4 indexed citations
19.
Ruíz, Roberto, José C. Riquelme, & Jesús S. Aguilar–Ruiz. (2005). Actas del III Taller Nacional de Minería de Datos y Aprendizaje. Dialnet (Universidad de la Rioja). 9 indexed citations
20.
Cabello, D., et al.. (1989). Técnicas estadísticas para diagnóstico de arritmias ventriculares. 22(4). 45–52. 1 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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