Carmen Benavides

1.1k total citations
43 papers, 655 citations indexed

About

Carmen Benavides is a scholar working on Artificial Intelligence, Computer Networks and Communications and General Health Professions. According to data from OpenAlex, Carmen Benavides has authored 43 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in General Health Professions. Recurrent topics in Carmen Benavides's work include Network Security and Intrusion Detection (5 papers), Community Health and Development (5 papers) and Semantic Web and Ontologies (5 papers). Carmen Benavides is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Community Health and Development (5 papers) and Semantic Web and Ontologies (5 papers). Carmen Benavides collaborates with scholars based in Spain, Mexico and United States. Carmen Benavides's co-authors include Isaías García-Rodríguez, José Alberto Benítez‐Andrades, Héctor Aláiz‐Moretón, María Teresa Garcí­a-Ordás, José Aveleira‐Mata, Mariano González-de-Soto, P. González de Santos, Luis Emmi, Pilar Marqués‐Sánchez and Ángel Alonso and has published in prestigious journals such as Scientific Reports, Sensors and Information Sciences.

In The Last Decade

Carmen Benavides

39 papers receiving 618 citations

Peers

Carmen Benavides
Carmen Benavides
Citations per year, relative to Carmen Benavides Carmen Benavides (= 1×) peers Isaías García-Rodríguez

Countries citing papers authored by Carmen Benavides

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Benavides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Benavides

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Benavides. A scholar is included among the top collaborators of Carmen Benavides 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 Carmen Benavides. Carmen Benavides 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.
Aveleira‐Mata, José, et al.. (2025). CoAP_UAD: CoAP under attack dataset — A comprehensive dataset for CoAP-based IoT security research. Data in Brief. 63. 112210–112210.
2.
Benítez‐Andrades, José Alberto, et al.. (2024). Conditional Weighted Linear Fitting for 2D-LiDAR-Mapping of Indoor SLAM. IEEE Transactions on Industrial Informatics. 20(7). 9579–9587. 6 indexed citations
3.
Marqués‐Sánchez, Pilar, et al.. (2024). Characteristics of Leadership Competency in Nurse Managers: A Scoping Review. Journal of Nursing Management. 2024(1). 5594154–5594154. 8 indexed citations
4.
García, A., et al.. (2024). Impact of Artificial Intelligence–Based Technology on Nurse Management: A Systematic Review. Journal of Nursing Management. 2024(1). 3537964–3537964. 18 indexed citations
5.
Garcí­a-Ordás, María Teresa, et al.. (2023). Determining the severity of Parkinson’s disease in patients using a multi task neural network. Multimedia Tools and Applications. 83(2). 6077–6092. 16 indexed citations
6.
Garcí­a-Ordás, María Teresa, et al.. (2023). Heart disease risk prediction using deep learning techniques with feature augmentation. Multimedia Tools and Applications. 82(20). 31759–31773. 50 indexed citations
7.
Benítez‐Andrades, José Alberto, et al.. (2023). Weighted Conformal LiDAR-Mapping for Structured SLAM. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 8 indexed citations
8.
Aveleira‐Mata, José, et al.. (2021). IDS PROTOTYPE FOR INTRUSION DETECTION WITH MACHINE LEARNING MODELS IN IOT SYSTEMS OF THE INDUSTRY 4.0. DYNA. 96(3). 270–275. 8 indexed citations
9.
Aláiz‐Moretón, Héctor, et al.. (2021). Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments. The Journal of Supercomputing. 77(11). 13046–13068. 1 indexed citations
10.
Benavides, Carmen, et al.. (2021). eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study. JMIR mhealth and uhealth. 9(2). e20217–e20217. 19 indexed citations
11.
Aláiz‐Moretón, Héctor, María Teresa Garcí­a-Ordás, José Alberto Benítez‐Andrades, et al.. (2021). Middleware-based multi-agent development environment for building and testing distributed intelligent systems. Cluster Computing. 24(3). 2313–2325. 1 indexed citations
12.
Garcí­a-Ordás, María Teresa, Carmen Benavides, José Alberto Benítez‐Andrades, Héctor Aláiz‐Moretón, & Isaías García-Rodríguez. (2021). Diabetes detection using deep learning techniques with oversampling and feature augmentation. Computer Methods and Programs in Biomedicine. 202. 105968–105968. 79 indexed citations
13.
Garcí­a-Ordás, María Teresa, José Alberto Benítez‐Andrades, Isaías García-Rodríguez, Carmen Benavides, & Héctor Aláiz‐Moretón. (2020). Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. Sensors. 20(4). 1214–1214. 86 indexed citations
14.
Garcí­a-Ordás, María Teresa, et al.. (2020). Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19. Healthcare. 8(4). 371–371. 10 indexed citations
15.
Benítez‐Andrades, José Alberto, et al.. (2018). Socioeconomic Status in Adolescents: A Study of Its Relationship with Overweight and Obesity and Influence on Social Network Configuration. International Journal of Environmental Research and Public Health. 15(9). 2014–2014. 18 indexed citations
16.
Benítez‐Andrades, José Alberto, et al.. (2018). A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies. International Journal of Environmental Research and Public Health. 15(11). 2420–2420. 5 indexed citations
17.
Benítez‐Andrades, José Alberto, José Emilio Labra Gayo, Vicente Martín, et al.. (2017). A Web-Based Tool for Automatic Data Collection, Curation, and Visualization of Complex Healthcare Survey Studies including Social Network Analysis. Computational and Mathematical Methods in Medicine. 2017. 1–8. 13 indexed citations
18.
García-Rodríguez, Isaías, et al.. (2017). A Qualitative Study of Secondary School Teachers’ Perception of Social Network Analysis Metrics in the Context of Alcohol Consumption among Adolescents. International Journal of Environmental Research and Public Health. 14(12). 1531–1531. 1 indexed citations
19.
García-Rodríguez, Isaías, Carmen Benavides, Héctor Aláiz‐Moretón, Francisco Rodríguez, & Ángel Alonso. (2010). An ontology-based expert system and interactive tool for computer-aided control engineering education. 264–273. 1 indexed citations
20.
Benavides, Carmen, et al.. (2000). THE PROTECTED DESIGNATIONS OF ORIGIN AS A STRATEGY OF ENDOGENOUS REGIONAL DEVELOPMENT. Econstor (Econstor). 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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