R. Barandela

1.3k citations
9 papers · 655 indexed · h-index 5
Topics
Machine Learning and Data Classification (7 papers)Imbalanced Data Classification Techniques (5 papers)Face and Expression Recognition (4 papers)
Partner nations
MexicoSpain

In The Last Decade

R. Barandela

7 papers receiving 609 citations

Peers

R. Barandela
Comparison fields: 5 of 103
  • Artificial Intelligence 520
  • Electrical and Electronic Engineering 162
  • Information Systems 94
  • Computer Vision and Pattern Recognition 90
  • Accounting 72
Replace David A. Cieslak with:
David A. Cieslak United States
Estellito Rangel Brazil
I C G Campbell
Sarah Vluymans Belgium
Hamed Masnadi-Shirazi United States
Pablo Bermejo Spain
K Veropoulos United Kingdom
Marcílio C. P. de Souto Brazil
Nele Verbiest Belgium
Xuewen Chen United States
R. Barandela relative to David A. Cieslak United States David A. Cieslak's profile →
Citations per field
00.5×1.7×
David A. Cieslak · 1×
Citations per year

Countries citing papers authored by R. Barandela

Since Specialization
Citations

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

Fields of papers citing papers by R. Barandela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Barandela

This figure shows the co-authorship network connecting the top 25 collaborators of R. Barandela. A scholar is included among the top collaborators of R. Barandela 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 R. Barandela. R. Barandela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization
5
2
Scaling clustering algorithm for data with categorical attributes
1
3 43
4
RapidandBrief Communication Strategies for learning in class imbalance problems
1
5 388
6 197
7 4
8 16
9 0

About R. Barandela

R. Barandela is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Water Science and Technology, having authored 9 papers that have together received 655 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Imbalanced Data Classification Techniques (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Artificial Intelligence (520 citations), Health Information Management (42 citations) and Accounting (72 citations). R. Barandela has collaborated with scholars based in Mexico and Spain. Frequent co-authors include J. Salvador Sánchez, Estellito Rangel, Vicente García, Rosa María Valdovinos Rosas, Francesc J. Ferri, Marc Juárez, Ana I. Marqués, R. Alejo and Eréndira Rendón. Their work appears in journals such as Pattern Recognition, International Journal of Remote Sensing and Pattern Analysis and Applications.

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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