Nayat Sánchez-Pi

832 total citations
36 papers, 335 citations indexed

About

Nayat Sánchez-Pi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nayat Sánchez-Pi has authored 36 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Nayat Sánchez-Pi's work include Context-Aware Activity Recognition Systems (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Data Management and Algorithms (6 papers). Nayat Sánchez-Pi is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Data Management and Algorithms (6 papers). Nayat Sánchez-Pi collaborates with scholars based in Brazil, Spain and Chile. Nayat Sánchez-Pi's co-authors include Luis Martí, José M. Molina, Ana Cristina Bicharra García, Javier Carbó, Adriana S. Vivacqua, Luís Correia, Eduardo Segredo, Emma Hart, F. E. Bauer and G. Cabrera-Vives and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Astronomy and Astrophysics.

In The Last Decade

Nayat Sánchez-Pi

33 papers receiving 309 citations

Peers

Nayat Sánchez-Pi

CNC

CVPR

CSE

Kyoung‐Sook Kim Japan

Yue Cui China

Chin Kuan Ho Malaysia

Liping Chen China

Francisco Herrera Triguero Spain

Nailah Al–Madi Jordan

Guofu Zhang China

R. Frank United Kingdom

Xin Xie China

Stefka Fidanova Bulgaria

Kyoung‐Sook Kim Japan

Nayat Sánchez-Pi

138 ×0.9

55 ×0.9

CNC

52 ×1.1

CVPR

83 ×1.9

17 ×0.4

CSE

Citations per year, relative to Nayat Sánchez-Pi Nayat Sánchez-Pi (= 1×) peers Kyoung‐Sook Kim

Countries citing papers authored by Nayat Sánchez-Pi

Since Specialization

Citations

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

Fields of papers citing papers by Nayat Sánchez-Pi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nayat Sánchez-Pi. 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 Nayat Sánchez-Pi. The network helps show where Nayat Sánchez-Pi may publish in the future.

Co-authorship network of co-authors of Nayat Sánchez-Pi

This figure shows the co-authorship network connecting the top 25 collaborators of Nayat Sánchez-Pi. A scholar is included among the top collaborators of Nayat Sánchez-Pi 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 Nayat Sánchez-Pi. Nayat Sánchez-Pi 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

Jofré, P., et al.. (2024). A baseline on the relation between chemical patterns and the birth stellar cluster. Astronomy and Astrophysics. 688. A165–A165. 3 indexed citations

Martí, Luis, et al.. (2022). A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast. Sensors. 22(4). 1486–1486. 18 indexed citations

Sanchéz-Sáez, P., Luis Martí, Nayat Sánchez-Pi, et al.. (2021). Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors. The Astronomical Journal. 162(5). 206–206. 25 indexed citations

Martí, Luis, et al.. (2020). Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application. 1–8. 1 indexed citations

Martí, Luis, et al.. (2019). Collective intelligence approaches in interactive evolutionary multi-objective optimization. Logic Journal of IGPL. 28(1). 95–108. 4 indexed citations

Martí, Luis, Eduardo Segredo, Nayat Sánchez-Pi, & Emma Hart. (2018). Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications. 52(4). 502–519. 1 indexed citations

Martí, Luis, et al.. (2018). A Compact Encoding for Efficient Character-level Deep Text Classification. 7. 1–8. 1 indexed citations

Martí, Luis, Eduardo Segredo, Nayat Sánchez-Pi, & Emma Hart. (2017). Impact of selection methods on the diversity of many-objective Pareto set approximations. Procedia Computer Science. 112. 844–853. 8 indexed citations

Martí, Luis, Nayat Sánchez-Pi, José M. Molina, & Ana Cristina Bicharra García. (2016). On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study. Journal of Applied Logic. 24. 71–84. 10 indexed citations

10.

Bajo, Javier, María José Escalona, Sylvain Giroux, et al.. (2016). Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection. Communications in computer and information science. 4 indexed citations

11.

Bajo, Javier, Paweł Pawlewski, Vicente Botti, et al.. (2015). Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection: International Workshops of PAAMS 2015. Springer eBooks.

12.

Sánchez-Pi, Nayat, Luis Martí, & Ana Cristina Bicharra García. (2015). Improving ontology-based text classification: An occupational health and security application. Journal of Applied Logic. 17. 48–58. 30 indexed citations

13.

Sánchez-Pi, Nayat, Luiz André P. Paes Leme, & Ana Cristina Bicharra García. (2015). Intelligent agents for alarm management in petroleum ambient. Journal of Intelligent & Fuzzy Systems. 28(1). 43–53. 2 indexed citations

14.

Martí, Luis, et al.. (2015). Using Collective Intelligence to Support Multi-objective Decisions: Collaborative and Online Preferences. 2. 82–85.

15.

Martí, Luis, et al.. (2015). Collective preferences in evolutionary multi-objective optimization. 133–138. 6 indexed citations

16.

Sánchez-Pi, Nayat, Luis Martí, José M. Molina, & Ana Cristina Bicharra García. (2014). An information fusion framework for context-based accidents prevention. e-Archivo (Carlos III University of Madrid). 1–8. 3 indexed citations

17.

Sánchez-Pi, Nayat. (2011). Intelligent techniques for context-aware systems. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya).

18.

Sánchez-Pi, Nayat, Javier Carbó, & José M. Molina. (2010). Analysis and Design of a Multi-Agent System Using Gaia Methodology in an Airport Case of Use. INTELIGENCIA ARTIFICIAL. 14(45). 2 indexed citations

19.

Sánchez-Pi, Nayat & José M. Molina. (2009). A multi-agent platform for the provisioning of U-commerce services. 3394. 1–6. 2 indexed citations

20.

Sánchez-Pi, Nayat, et al.. (2006). Reputation in User Profiling for a Context-aware MultiAgent System.. 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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