Borja Seijo-Pardo

560 total citations
7 papers, 357 citations indexed

About

Borja Seijo-Pardo is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Borja Seijo-Pardo has authored 7 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Borja Seijo-Pardo's work include Gene expression and cancer classification (4 papers), Face and Expression Recognition (4 papers) and Machine Learning and Data Classification (3 papers). Borja Seijo-Pardo is often cited by papers focused on Gene expression and cancer classification (4 papers), Face and Expression Recognition (4 papers) and Machine Learning and Data Classification (3 papers). Borja Seijo-Pardo collaborates with scholars based in Spain, United States and Pakistan. Borja Seijo-Pardo's co-authors include Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos, Iago Porto-Díaz, Kristin P. Bennett, Isabelle Guyon, Julie Josse, Mehreen Saeed and Laura Morán‐Fernández and has published in prestigious journals such as Neurocomputing, Knowledge-Based Systems and Information Fusion.

In The Last Decade

Borja Seijo-Pardo

7 papers receiving 345 citations

Peers

Countries citing papers authored by Borja Seijo-Pardo

Since Specialization

Citations

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

Fields of papers citing papers by Borja Seijo-Pardo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Borja Seijo-Pardo. 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 Borja Seijo-Pardo. The network helps show where Borja Seijo-Pardo may publish in the future.

Co-authorship network of co-authors of Borja Seijo-Pardo

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Feature Selection Applied to Microarray Data 2019 ·Methods in molecular biology ·Amparo Alonso‐Betanzos, Verónica Bolón‐Canedo, Laura Morán‐Fernández, Borja Seijo-Pardo	3
2	Biases in feature selection with missing data 2019 ·Neurocomputing ·Borja Seijo-Pardo, Amparo Alonso‐Betanzos, Kristin P. Bennett, Verónica Bolón‐Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon	13
3	Analysis of imputation bias for feature selection with missing data. 2018 ·The European Symposium on Artificial Neural Networks ·Borja Seijo-Pardo, Amparo Alonso‐Betanzos, Kristin P. Bennett, Verónica Bolón‐Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed	1
4	On developing an automatic threshold applied to feature selection ensembles 2018 ·Information Fusion ·Borja Seijo-Pardo, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos	75
5	Testing Different Ensemble Configurations for Feature Selection 2017 ·Neural Processing Letters ·Borja Seijo-Pardo, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos	44
6	Using a feature selection ensemble on DNA microarray datasets. 2016 ·The European Symposium on Artificial Neural Networks ·Borja Seijo-Pardo, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos	11
7	Ensemble feature selection: Homogeneous and heterogeneous approaches 2016 ·Knowledge-Based Systems ·Borja Seijo-Pardo, Iago Porto-Díaz, Verónica Bolón‐Canedo, Amparo Alonso‐Betanzos	210

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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