Araceli Sanchis

3.6k total citations
134 papers, 2.2k citations indexed

About

Araceli Sanchis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Araceli Sanchis has authored 134 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 22 papers in Signal Processing. Recurrent topics in Araceli Sanchis's work include Evolutionary Algorithms and Applications (24 papers), Neural Networks and Applications (18 papers) and Time Series Analysis and Forecasting (18 papers). Araceli Sanchis is often cited by papers focused on Evolutionary Algorithms and Applications (24 papers), Neural Networks and Applications (18 papers) and Time Series Analysis and Forecasting (18 papers). Araceli Sanchis collaborates with scholars based in Spain, United Kingdom and Slovenia. Araceli Sanchis's co-authors include Agapito Ledezma, José Antonio Iglesias, Paula de Toledo, Germán Gutiérrez, M. Paz Sesmero, Plamen Angelov, Igor Škrjanc, Edwin Lughofer, Daniel Leite and Fernando Gomide and has published in prestigious journals such as SHILAP Revista de lepidopterología, Macromolecules and European Journal of Operational Research.

In The Last Decade

Araceli Sanchis

125 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Araceli Sanchis Spain 26 1.1k 475 229 208 207 134 2.2k
Faiyaz Doctor United Kingdom 23 649 0.6× 445 0.9× 253 1.1× 294 1.4× 222 1.1× 81 1.9k
Carlos Soares Portugal 24 1.6k 1.5× 260 0.5× 127 0.6× 197 0.9× 135 0.7× 126 2.9k
Jing Peng China 26 1.0k 1.0× 573 1.2× 228 1.0× 162 0.8× 175 0.8× 171 2.5k
Siti Mariyam Shamsuddin Malaysia 23 1.2k 1.1× 365 0.8× 284 1.2× 352 1.7× 227 1.1× 133 2.4k
Mourad Oussalah Finland 28 1.1k 1.0× 506 1.1× 213 0.9× 181 0.9× 139 0.7× 203 2.3k
Boyang Li China 22 934 0.9× 529 1.1× 172 0.8× 143 0.7× 124 0.6× 165 2.0k
Said Jadid Abdulkadir Malaysia 25 1.1k 1.0× 353 0.7× 355 1.6× 250 1.2× 244 1.2× 110 2.6k
Shohei Shimizu Japan 23 1.0k 0.9× 227 0.5× 526 2.3× 191 0.9× 204 1.0× 80 2.3k
Ming Zong China 13 930 0.9× 694 1.5× 156 0.7× 190 0.9× 133 0.6× 24 2.3k
Giovanna Castellano Italy 23 900 0.8× 428 0.9× 117 0.5× 81 0.4× 156 0.8× 156 1.8k

Countries citing papers authored by Araceli Sanchis

Since Specialization
Citations

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

Fields of papers citing papers by Araceli Sanchis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Araceli Sanchis

This figure shows the co-authorship network connecting the top 25 collaborators of Araceli Sanchis. A scholar is included among the top collaborators of Araceli Sanchis 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 Araceli Sanchis. Araceli Sanchis 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.
Marín, Pablo, et al.. (2025). Mitigating Urban Congestion: A Cooperative Reservation Framework for Automated Vehicles. Applied Sciences. 15(10). 5347–5347.
2.
Sanchis, Araceli, et al.. (2023). Stress Detection Using Frequency Spectrum Analysis of Wrist-Measured Electrodermal Activity. Sensors. 23(2). 963–963. 15 indexed citations
3.
Škrjanc, Igor, Goran Andonovski, José Antonio Iglesias, M. Paz Sesmero, & Araceli Sanchis. (2022). Evolving Gaussian on-line clustering in social network analysis. Expert Systems with Applications. 207. 117881–117881. 9 indexed citations
4.
Sesmero, M. Paz, et al.. (2021). Lane following Learning Based on Semantic Segmentation with Chroma Key and Image Superposition. Electronics. 10(24). 3113–3113. 3 indexed citations
5.
Ledezma, Agapito, et al.. (2014). Simul-A2: Agent-based simulator for evaluate ADA systems. International Conference on Information Fusion. 1–7. 3 indexed citations
6.
Gutiérrez, Germán, José Antonio Iglesias, Francisco Ordóñez, Agapito Ledezma, & Araceli Sanchis. (2014). Agent-based framework for Advanced Driver Assistance Systems in urban environments. International Conference on Information Fusion. 1–8. 5 indexed citations
7.
Iglesias, José Antonio, Germán Gutiérrez, Agapito Ledezma, & Araceli Sanchis. (2014). Time series forecasting using Artificial Neural Networks vs. evolving models. 2. 1–7. 3 indexed citations
8.
Ledezma, Agapito, et al.. (2011). Simulating Visual Qualia in the CERA-CRANIUM Cognitive Architecture. Advances in experimental medicine and biology. 718. 223–238. 8 indexed citations
9.
Ledezma, Agapito, et al.. (2010). THE COGNITIVE DEVELOPMENT OF MACHINE CONSCIOUSNESS IMPLEMENTATIONS. e-Archivo (Carlos III University of Madrid). 2(2). 213–225. 3 indexed citations
10.
Iglesias, José Antonio, Agapito Ledezma, & Araceli Sanchis. (2009). CAOS COACH 2006 SIMULATION TEAM: AN OPPONENT MODELLING APPROACH. Computing and Informatics / Computers and Artificial Intelligence. 28(1). 57–80. 4 indexed citations
11.
Toledo, Paula de, et al.. (2009). Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques. IEEE Transactions on Information Technology in Biomedicine. 13(5). 794–801. 51 indexed citations
12.
Ledezma, Agapito, Ricardo Aler, Araceli Sanchis, & Daniel Borrajo. (2009). OMBO: An opponent modeling approach. AI Communications. 22(1). 21–35. 12 indexed citations
13.
Ledezma, Agapito & Araceli Sanchis. (2008). Genetic Approach for Optimizing Ensembles of Classifiers. The Florida AI Research Society. 89–94. 18 indexed citations
14.
Moreno, Valentín Molina, Agapito Ledezma, & Araceli Sanchis. (2006). A static images based-system for traffic signs detection. 26(3). 445–450. 6 indexed citations
15.
Sanchis, Araceli, et al.. (2006). Rough Sets and the role of the monetary policy in financial stability (macroeconomic problem) and the prediction of insolvency in insurance sector (microeconomic problem). European Journal of Operational Research. 181(3). 1554–1573. 46 indexed citations
16.
Gutiérrez, Germán, Araceli Sanchis, Pedro Isasi, José M. Molina, & Inés M. Galván. (2005). NON-DIRECT ENCODING METHOD BASED ON CELLULAR AUTOMATA TO DESIGN NEURAL NETWORK ARCHITECTURES. Computing and Informatics / Computers and Artificial Intelligence. 24(3). 225–247. 5 indexed citations
17.
Galván, Inés M., et al.. (2003). Modified Self-organizing Maps for Line Extraction in Digitized Text Documents.. Applied Informatics. 281–286. 1 indexed citations
18.
Molina, José M., Antonio Berlanga, Araceli Sanchis, & Pedro Isasi. (2002). Evolving connection weights between sensors and actuators in robots. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2. 686–690. 1 indexed citations
19.
Lin, Ming C., et al.. (2001). Projects in VR. IEEE Computer Graphics and Applications. 21. 14–17. 5 indexed citations
20.
Sanchis, Araceli, et al.. (1999). Fuzzy colour distance applied to region growing in image processing.. European Society for Fuzzy Logic and Technology Conference. 259–262. 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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