Raquel Martínez‐España

1.5k citations
80 papers · 938 indexed · h-index 18
Topics
Smart Agriculture and AI (12 papers)Greenhouse Technology and Climate Control (8 papers)Data Mining Algorithms and Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Image Processing

In The Last Decade

Raquel Martínez‐España

71 papers receiving 894 citations

Peers

Raquel Martínez‐España
Comparison fields: 5 of 126
  • Artificial Intelligence 268
  • Environmental Engineering 159
  • Computer Vision and Pattern Recognition 131
  • Plant Science 131
  • Information Systems 121
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Citations per field
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Citations per year

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
#WorkIndexed citations
1 2
2 4
3 1
4 10
5 11
6 8
7 7
8 8
9 27
10 76
11 14
12 17
13 16
14 1
15 41
16
THE INTELLIGENT WEB
2
17
Comparativa de aproximaciones a SVM semisupervisado multiclase para clasificación de páginas Web
0
18
Weighted Decisions in a Fuzzy Random Forest.
0
19
Una Representación Basada en Lógica Borrosa para el Clustering de páginas web con Mapas Auto-Organizativos
0
20
XML-Bi : procedimientos para la gestión de flujo documental multilingüe sobre XML/TEI
0

About Raquel Martínez‐España

Raquel Martínez‐España is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 80 papers that have together received 938 indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Greenhouse Technology and Climate Control (8 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Computer Science Applications (76 citations), Environmental Engineering (159 citations) and Artificial Intelligence (268 citations). Raquel Martínez‐España has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include M. Carmen Garrido, José Manuel Cadenas Figueredo, Andrés Bueno-Crespo, José M. Cecilia, Andrés Muñoz, Carlos Cuevas, Narciso Garcı́a, J. Soto, Víctor Fresno and Patricia Jimeno‐Sáez. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

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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