M. Chica-Rivas

1.9k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

M. Chica-Rivas is a scholar working on Media Technology, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, M. Chica-Rivas has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Media Technology, 3 papers in Artificial Intelligence and 3 papers in Environmental Engineering. Recurrent topics in M. Chica-Rivas's work include Remote-Sensing Image Classification (4 papers), Geochemistry and Geologic Mapping (3 papers) and Land Use and Ecosystem Services (2 papers). M. Chica-Rivas is often cited by papers focused on Remote-Sensing Image Classification (4 papers), Geochemistry and Geologic Mapping (3 papers) and Land Use and Ecosystem Services (2 papers). M. Chica-Rivas collaborates with scholars based in Spain and United Kingdom. M. Chica-Rivas's co-authors include Víctor Rodríguez‐Galiano, Mario Chica‐Olmo, M. Sánchez-Castillo, Eulogio Pardo‐Igúzquiza, Jorge Chica‐Olmo and J.P. Rigol-Sánchez and has published in prestigious journals such as Sustainability, International Journal of Applied Earth Observation and Geoinformation and Ore Geology Reviews.

In The Last Decade

M. Chica-Rivas

7 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

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						Papers	Cites
M. Chica-Rivas Spain	5	575	409	347	302	226	7	1.5k
M. Sánchez-Castillo Spain	4	419 0.7×	296 0.7×	267 0.8×	197 0.7×	148 0.7×	10	1.3k
Snehamoy Chatterjee United States	26	601 1.0×	358 0.9×	678 2.0×	301 1.0×	52 0.2×	96	1.7k
Lin Luo China	20	230 0.4×	242 0.6×	199 0.6×	322 1.1×	142 0.6×	155	1.9k
Jiawei Tian China	23	461 0.8×	366 0.9×	165 0.5×	59 0.2×	232 1.0×	63	1.9k
Simit Raval Australia	19	151 0.3×	250 0.6×	153 0.4×	138 0.5×	112 0.5×	59	1.2k
Reza Ghezelbash Iran	25	1.0k 1.8×	355 0.9×	360 1.0×	611 2.0×	67 0.3×	48	1.4k
Chang-Wook Lee South Korea	34	340 0.6×	796 1.9×	456 1.3×	186 0.6×	1.3k 5.9×	174	3.7k
Hao Wu China	23	106 0.2×	436 1.1×	139 0.4×	171 0.6×	701 3.1×	157	2.0k
Mosbeh R. Kaloop Egypt	26	141 0.2×	373 0.9×	236 0.7×	120 0.4×	414 1.8×	122	2.6k

Countries citing papers authored by M. Chica-Rivas

Since Specialization

Citations

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

Fields of papers citing papers by M. Chica-Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Chica-Rivas

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chica‐Olmo, Jorge, et al.. (2019). Estimation of Housing Price Variations Using Spatio-Temporal Data. Sustainability. 11(6). 1551–1551. 30 indexed citations

2.

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 →

3.

Rodríguez‐Galiano, Víctor, Mario Chica‐Olmo, & M. Chica-Rivas. (2014). Predictive modelling of gold potential with the integration of multisource information based on random forest: a case study on the Rodalquilar area, Southern Spain. International Journal of Geographical Information Systems. 28(7). 1336–1354. 176 indexed citations

4.

Rodríguez‐Galiano, Víctor & M. Chica-Rivas. (2012). Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models. International Journal of Digital Earth. 7(6). 492–509. 128 indexed citations

5.

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

6.

Pardo‐Igúzquiza, Eulogio, et al.. (2011). Análisis e integración de datos espaciales en investigación de recursos geológicos mediante Sistemas de Información Geográfica. Boletín de la Sociedad Geológica Mexicana. 63(1). 61–70. 2 indexed citations

7.

Rodríguez‐Galiano, Víctor, et al.. (2010). ANÁLISIS DE CAMBIOS DE USOS DEL SUELO EN LA "VEGA DE GRANADA": CORRECCIONES RADIOMÉTRICAS Y EVALUACIÓN DEL CAMBIO. 177(34). 5–15. 1 indexed citations

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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