Raquel Martínez‐España

1.5k total citations
80 papers, 938 citations indexed

About

Raquel Martínez‐España is a scholar working on Artificial Intelligence, Information Systems and Plant Science. According to data from OpenAlex, Raquel Martínez‐España has authored 80 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 17 papers in Information Systems and 13 papers in Plant Science. Recurrent topics in Raquel Martínez‐España's work include Smart Agriculture and AI (12 papers), Greenhouse Technology and Climate Control (8 papers) and Data Mining Algorithms and Applications (6 papers). Raquel Martínez‐España is often cited by papers focused on Smart Agriculture and AI (12 papers), Greenhouse Technology and Climate Control (8 papers) and Data Mining Algorithms and Applications (6 papers). Raquel Martínez‐España collaborates with scholars based in Spain, United States and Australia. Raquel Martínez‐España's co-authors include M. Carmen Garrido, José Manuel Cadenas Figueredo, Andrés Bueno-Crespo, José M. Cecilia, Andrés Muñoz, Narciso Garcı́a, Carlos Cuevas, J. Soto, Víctor Fresno and Patricia Jimeno‐Sáez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Raquel Martínez‐España

71 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raquel Martínez‐España Spain 18 268 159 131 131 121 80 938
Sergio Trilles Spain 21 157 0.6× 240 1.5× 149 1.1× 128 1.0× 129 1.1× 60 1.3k
Haviluddin Haviluddin Indonesia 16 369 1.4× 116 0.7× 72 0.5× 108 0.8× 385 3.2× 121 1.0k
Amit Sharma India 17 196 0.7× 67 0.4× 125 1.0× 123 0.9× 191 1.6× 50 1.2k
Vikram Puri Vietnam 17 116 0.4× 93 0.6× 90 0.7× 159 1.2× 155 1.3× 49 991
Ahsan Morshed Australia 16 259 1.0× 48 0.3× 83 0.6× 364 2.8× 199 1.6× 59 1.1k
Teerayut Horanont Thailand 15 85 0.3× 125 0.8× 140 1.1× 122 0.9× 29 0.2× 59 937
David Ndzi United Kingdom 16 179 0.7× 55 0.3× 128 1.0× 78 0.6× 97 0.8× 79 941
Sushma Jain India 17 315 1.2× 164 1.0× 53 0.4× 138 1.1× 216 1.8× 57 1.3k
Md. Nasir Sulaiman Malaysia 19 513 1.9× 60 0.4× 314 2.4× 62 0.5× 341 2.8× 138 1.5k

Countries citing papers authored by Raquel Martínez‐España

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Martínez‐España

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel Martínez‐España. 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 Raquel Martínez‐España. The network helps show where Raquel Martínez‐España may publish in the future.

Co-authorship network of co-authors of Raquel Martínez‐España

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Martínez‐España. A scholar is included among the top collaborators of Raquel Martínez‐España 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 Raquel Martínez‐España. Raquel Martínez‐España 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.
Martínez‐España, Raquel, et al.. (2024). Diseño de acciones formativas para mejorar las competencias digitales del profesorado. Revista Electrónica Interuniversitaria de Formación del Profesorado. 27(1). 117–133. 2 indexed citations
2.
Fernández-López, Carmen, et al.. (2024). Biodegradation behaviour of pharmaceutical compounds and selected metabolites in activated sludge. A forecasting decision system approach. Journal of Environmental Health Science and Engineering. 22(1). 229–243. 4 indexed citations
3.
Muñoz, Andrés, et al.. (2024). A multi-DL fuzzy approach to image recognition for a real-time traffic alert system. Journal of Ambient Intelligence and Smart Environments. 17(1). 101–116. 1 indexed citations
4.
Bueno-Crespo, Andrés, et al.. (2023). SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments. Internet of Things. 22. 100734–100734. 10 indexed citations
5.
Bueno-Crespo, Andrés, et al.. (2023). Evaluation of synthetic data generation for intelligent climate control in greenhouses. Applied Intelligence. 53(21). 24765–24781. 11 indexed citations
6.
Bueno-Crespo, Andrés, et al.. (2023). Data-driven evaluation of machine learning models for climate control in operational smart greenhouses. Journal of Ambient Intelligence and Smart Environments. 15(1). 3–17. 7 indexed citations
7.
Garrido, M. Carmen, et al.. (2022). Evaporation Forecasting through Interpretable Data Analysis Techniques. Electronics. 11(4). 536–536. 7 indexed citations
8.
Periñán-Pascual, Carlos, et al.. (2021). COVIDSensing: Social Sensing Strategy for the Management of the COVID-19 Crisis. Electronics. 10(24). 3157–3157. 8 indexed citations
9.
Martínez‐España, Raquel, et al.. (2020). A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. Sensors. 20(24). 7129–7129. 17 indexed citations
10.
Navarro, Juan M., et al.. (2020). Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network. Sensors. 20(3). 903–903. 14 indexed citations
11.
Guillén, Miguel Arias, et al.. (2020). Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. The Journal of Supercomputing. 77(1). 818–840. 76 indexed citations
12.
Bueno-Crespo, Andrés, et al.. (2020). Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain. TUGraz OPEN Library (Graz University of Technology). 29 indexed citations
13.
Martínez‐España, Raquel, et al.. (2019). A high‐performance IoT solution to reduce frost damages in stone fruits. Concurrency and Computation Practice and Experience. 33(2). 16 indexed citations
14.
Martínez‐España, Raquel, et al.. (2018). Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain.. JUCS - Journal of Universal Computer Science. 24. 261–276. 41 indexed citations
15.
Figueredo, José Manuel Cadenas, et al.. (2018). A Preliminary Study to Solve Crop Frost Prediction Using an Intelligent Data Analysis Process. 97–106. 1 indexed citations
16.
Martínez‐España, Raquel, et al.. (2010). THE INTELLIGENT WEB. 662–666. 2 indexed citations
17.
Zubiaga, Arkaitz, Víctor Fresno, & Raquel Martínez‐España. (2009). Comparativa de aproximaciones a SVM semisupervisado multiclase para clasificación de páginas Web. Procesamiento del lenguaje natural. 42(42). 63–70.
18.
Bonissone, Piero P., et al.. (2009). Weighted Decisions in a Fuzzy Random Forest.. European Society for Fuzzy Logic and Technology Conference. 1553–1558.
19.
Fresno, Víctor, et al.. (2009). Una Representación Basada en Lógica Borrosa para el Clustering de páginas web con Mapas Auto-Organizativos. Procesamiento del lenguaje natural. 42(42). 79–86.
20.
Isasi, Carmen R., et al.. (2001). XML-Bi : procedimientos para la gestión de flujo documental multilingüe sobre XML/TEI. Procesamiento del lenguaje natural. 27(27). 293–294.

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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