M. Sánchez-Castillo

1.7k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

M. Sánchez-Castillo is a scholar working on Molecular Biology, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, M. Sánchez-Castillo has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Environmental Engineering and 2 papers in Mechanical Engineering. Recurrent topics in M. Sánchez-Castillo's work include Gene Regulatory Network Analysis (5 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (3 papers). M. Sánchez-Castillo is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Gene expression and cancer classification (4 papers) and Bioinformatics and Genomic Networks (3 papers). M. Sánchez-Castillo collaborates with scholars based in Spain, United States and United Kingdom. M. Sánchez-Castillo's co-authors include Víctor Rodríguez‐Galiano, M. Chica-Rivas, Mario Chica‐Olmo, I. M. Tienda-Luna, Yufei Huang, M.C. Carrión, Eulogio Pardo‐Igúzquiza, Jadunandan Dash, Peter M. Atkinson and Daniel Bastardo Blanco and has published in prestigious journals such as Bioinformatics, International Journal of Applied Earth Observation and Geoinformation and Ore Geology Reviews.

In The Last Decade

M. Sánchez-Castillo

6 papers receiving 1.2k citations

Hit Papers

Machine learning predictive models for mineral prospectiv... 2015 2026 2018 2022 2015 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
    2015 1.1k citations Víctor Rodríguez‐Galiano, M. Sánchez-Castillo et al. Ore Geology Reviews profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Sánchez-Castillo Spain 4 419 296 267 197 148 10 1.3k
Jinghua Zhang China 24 362 0.9× 96 0.3× 365 1.4× 180 0.9× 213 1.4× 82 1.9k
Lin Luo China 20 230 0.5× 242 0.8× 199 0.7× 322 1.6× 142 1.0× 155 1.9k
M. Chica-Rivas Spain 5 575 1.4× 409 1.4× 347 1.3× 302 1.5× 226 1.5× 7 1.5k
Jinglin Zhang China 26 254 0.6× 90 0.3× 119 0.4× 261 1.3× 140 0.9× 104 2.1k
Jiawei Tian China 23 461 1.1× 366 1.2× 165 0.6× 59 0.3× 232 1.6× 63 1.9k
Antonio Fernández Spain 22 377 0.9× 171 0.6× 77 0.3× 232 1.2× 249 1.7× 71 1.8k
Qiao Wang China 21 193 0.5× 151 0.5× 81 0.3× 123 0.6× 114 0.8× 125 1.9k
Xin Su China 25 83 0.2× 162 0.5× 211 0.8× 535 2.7× 80 0.5× 105 2.0k
Yaser A. Nanehkaran China 24 218 0.5× 94 0.3× 100 0.4× 66 0.3× 213 1.4× 67 2.5k

Countries citing papers authored by M. Sánchez-Castillo

Since Specialization
Citations

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

Fields of papers citing papers by M. Sánchez-Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Sánchez-Castillo. 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 M. Sánchez-Castillo. The network helps show where M. Sánchez-Castillo may publish in the future.

Co-authorship network of co-authors of M. Sánchez-Castillo

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

All Works

10 of 10 papers shown
1.
2.
Sánchez-Castillo, M., et al.. (2017). A Bayesian framework for the inference of gene regulatory networks from time and pseudo-time series data. Bioinformatics. 34(6). 964–970. 99 indexed citations
3.
Rodríguez‐Galiano, Víctor, M. Sánchez-Castillo, Jadunandan Dash, & Peter M. Atkinson. (2015). Modelling anomalies in the spring and autumn land surface phenology of the European forest. 3 indexed citations
4.
Rodríguez‐Galiano, Víctor, M. Sánchez-Castillo, Mario Chica‐Olmo, & M. Chica-Rivas. (2015). Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geology Reviews. 71. 804–818. 1071 indexed citations breakdown →
5.
Sánchez-Castillo, M., et al.. (2013). Bayesian sparse factor model for transcriptional regulatory networks inference. European Signal Processing Conference. 1–4. 1 indexed citations
6.
Sánchez-Castillo, M., et al.. (2012). Methods and Recent Patents for Modeling and Uncovering Gene Regulatory Networks. 2(2). 88–95.
7.
Rodríguez‐Galiano, Víctor, Eulogio Pardo‐Igúzquiza, M. Sánchez-Castillo, Mario Chica‐Olmo, & M. Chica-Rivas. (2011). Downscaling Landsat 7 ETM+ thermal imagery using land surface temperature and NDVI images. International Journal of Applied Earth Observation and Geoinformation. 18. 515–527. 85 indexed citations
8.
Sánchez-Castillo, M., et al.. (2011). Revision of the variational Bayesian method for uncovering genes regulatory network. 2007. 206–209.
9.
Sánchez-Castillo, M., et al.. (2010). Modified variational method for genes regulatory network learning. 1781–1784. 1 indexed citations
10.
Sánchez-Castillo, M., et al.. (2002). On tool wear estimation through neural networks. Proceedings of International Conference on Neural Networks (ICNN'97). 4. 2359–2363.

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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