Laura Morán‐Fernández

635 total citations · 1 hit paper
26 papers, 308 citations indexed

About

Laura Morán‐Fernández is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Laura Morán‐Fernández has authored 26 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Laura Morán‐Fernández's work include Machine Learning and Data Classification (12 papers), Face and Expression Recognition (8 papers) and Gene expression and cancer classification (7 papers). Laura Morán‐Fernández is often cited by papers focused on Machine Learning and Data Classification (12 papers), Face and Expression Recognition (8 papers) and Gene expression and cancer classification (7 papers). Laura Morán‐Fernández collaborates with scholars based in Spain, Switzerland and United Kingdom. Laura Morán‐Fernández's co-authors include Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, Brais Cancela, Beatriz Remeseiro, Noelia Sánchez‐Maroño, Konstantinos Sechidis, Gavin Brown, Borja Seijo-Pardo, Jaime Alonso and Juan Touriño and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.

In The Last Decade

Laura Morán‐Fernández

25 papers receiving 293 citations

Hit Papers

A review of green artificial intelligence: Towards a more... 2024 2026 2025 2024 25 50 75 100

Peers

Laura Morán‐Fernández
Comparison fields: 5 of 91
  • Artificial Intelligence 132
  • Computer Vision and Pattern Recognition 58
  • Molecular Biology 48
  • Information Systems 33
  • Electrical and Electronic Engineering 25
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Andrew Lensen New Zealand
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Olof Mogren Sweden
Yongping Du China
Amal Shehan Perera Sri Lanka
Mohammed Nazim Uddin Bangladesh
Yuyu Yuan China
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Citations per field, relative to Laura Morán‐Fernández
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Citations per year, relative to Laura Morán‐Fernández
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Countries citing papers authored by Laura Morán‐Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Laura Morán‐Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Morán‐Fernández. 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 Laura Morán‐Fernández. The network helps show where Laura Morán‐Fernández may publish in the future.

Co-authorship network of co-authors of Laura Morán‐Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Morán‐Fernández. A scholar is included among the top collaborators of Laura Morán‐Fernández 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 Laura Morán‐Fernández. Laura Morán‐Fernández 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
# Work Indexed citations
1 5
2 1
3 9
4 5
5 3
6 3
7 1
8 15
9 2
10 2
11 1
12 6
13 15
14 3
15
Análisis de algoritmos de cuantificación basados en ajuste de distribuciones
0
16 2
17 3
18
Data complexity measures for analyzing the effect of SMOTE over microarrays.
5
19 30
20 9

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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