Mario Chica‐Olmo

7.7k total citations · 4 hit papers
57 papers, 6.0k citations indexed

About

Mario Chica‐Olmo is a scholar working on Environmental Engineering, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mario Chica‐Olmo has authored 57 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Environmental Engineering, 21 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in Mario Chica‐Olmo's work include Geochemistry and Geologic Mapping (21 papers), Soil Geostatistics and Mapping (21 papers) and Remote-Sensing Image Classification (16 papers). Mario Chica‐Olmo is often cited by papers focused on Geochemistry and Geologic Mapping (21 papers), Soil Geostatistics and Mapping (21 papers) and Remote-Sensing Image Classification (16 papers). Mario Chica‐Olmo collaborates with scholars based in Spain, United Kingdom and Portugal. Mario Chica‐Olmo's co-authors include Víctor Rodríguez‐Galiano, J.P. Rigol-Sánchez, Bardan Ghimire, John Rogan, M. Chica-Rivas, M. Sánchez-Castillo, Eulogio Pardo‐Igúzquiza, F. Abarca-Hernández, Peter M. Atkinson and María Paula Mendes and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Earth and Planetary Science Letters.

In The Last Decade

Mario Chica‐Olmo

57 papers receiving 5.8k citations

Hit Papers

An assessment of the effectiveness of a random forest cla... 2011 2026 2016 2021 2011 2015 2012 2014 500 1000 1.5k 2.0k
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. An assessment of the effectiveness of a random forest classifier for land-cover classification
    2011 2.2k citations Víctor Rodríguez‐Galiano, Mario Chica‐Olmo et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →
  2. 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, Mario Chica‐Olmo et al. profile →
  3. Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
    2012 478 citations Víctor Rodríguez‐Galiano, Mario Chica‐Olmo et al. profile →
  4. Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
    2014 343 citations Víctor Rodríguez‐Galiano, María Paula Mendes et al. The Science of The Total Environment profile →

Peers

Mario Chica‐Olmo
Víctor Rodríguez‐Galiano Spain
Mahesh Pal India
Yong Wang China
Xiaodong Li China
Guoqing Zhou China
Wenzhong Shi Hong Kong
Chao Wang China
Bing Zhang China
Deren Li China
Yaolin Liu China
Víctor Rodríguez‐Galiano Spain
Mario Chica‐Olmo
Citations per year, relative to Mario Chica‐Olmo Mario Chica‐Olmo (= 1×) peers Víctor Rodríguez‐Galiano

Countries citing papers authored by Mario Chica‐Olmo

Since Specialization
Citations

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

Fields of papers citing papers by Mario Chica‐Olmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Chica‐Olmo. 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 Mario Chica‐Olmo. The network helps show where Mario Chica‐Olmo may publish in the future.

Co-authorship network of co-authors of Mario Chica‐Olmo

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Chica‐Olmo. A scholar is included among the top collaborators of Mario Chica‐Olmo 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 Mario Chica‐Olmo. Mario Chica‐Olmo 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
1.
Luque-Espinar, Juan Antonio, M. López‐Chicano, Eulogio Pardo‐Igúzquiza, & Mario Chica‐Olmo. (2024). Using numerical methods for map the spatiotemporal geogenic and anthropogenic influences on the groundwater in a detrital aquifer in south Spain. Journal of Environmental Management. 355. 120442–120442. 5 indexed citations
2.
Pardo‐Igúzquiza, Eulogio, Peter A. Dowd, Juan Antonio Luque-Espinar, & Mario Chica‐Olmo. (2023). Increasing knowledge of the transmissivity field of a detrital aquifer by geostatistical merging of different sources of information. Hydrogeology Journal. 31(6). 1505–1524. 2 indexed citations
3.
Rodríguez‐Galiano, Víctor, Juan Antonio Luque-Espinar, Mario Chica‐Olmo, & María Paula Mendes. (2017). Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods. The Science of The Total Environment. 624. 661–672. 203 indexed citations
4.
Chica‐Olmo, Mario, et al.. (2016). A methodology for assessing public health risk associated with groundwater nitrate contamination: a case study in an agricultural setting (southern Spain). Environmental Geochemistry and Health. 39(5). 1117–1132. 27 indexed citations
5.
Tardáguila, Javier, et al.. (2016). Quantifying spatio-temporal variation of leaf chlorophyll and nitrogen contents in vineyards. Biosystems Engineering. 150. 201–213. 14 indexed citations
6.
7.
Rodríguez‐Galiano, Víctor, et al.. (2014). Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain). The Science of The Total Environment. 476-477. 189–206. 343 indexed citations breakdown →
8.
9.
Chica‐Olmo, Mario, et al.. (2013). Categorical Indicator Kriging for assessing the risk of groundwater nitrate pollution: The case of Vega de Granada aquifer (SE Spain). The Science of The Total Environment. 470-471. 229–239. 70 indexed citations
10.
Pardo‐Igúzquiza, Eulogio, Víctor Rodríguez‐Galiano, Mario Chica‐Olmo, & Peter M. Atkinson. (2011). Image fusion by spatially adaptive filtering using downscaling cokriging. ISPRS Journal of Photogrammetry and Remote Sensing. 66(3). 337–346. 51 indexed citations
11.
Pardo‐Igúzquiza, Eulogio, Kanti V. Mardia, & Mario Chica‐Olmo. (2009). MLMATERN: A computer program for maximum likelihood inference with the spatial Matérn covariance model. Computers & Geosciences. 35(6). 1139–1150. 19 indexed citations
12.
Atkinson, Peter M., Eulogio Pardo‐Igúzquiza, & Mario Chica‐Olmo. (2008). Downscaling Cokriging for Super-Resolution Mapping of Continua in Remotely Sensed Images. IEEE Transactions on Geoscience and Remote Sensing. 46(2). 573–580. 102 indexed citations
13.
Chica‐Olmo, Jorge, et al.. (2007). Modelo hedónico espacio-temporal y análisis variográfico del precio de la vivienda. Institutional Repository of the University of Granada (University of Granada). 56–72. 3 indexed citations
14.
Chica‐Olmo, Mario. (2005). LA GEOESTADÍSTICA COMO HERRAMIENTA DE ANÁLISIS ESPACIAL DE DATOS DE INVENTARIO FORESTAL. Dialnet (Universidad de la Rioja). 47–55. 3 indexed citations
15.
Rigol-Sánchez, J.P., Mario Chica‐Olmo, & F. Abarca-Hernández. (2003). Artificial neural networks as a tool for mineral potential mapping with GIS. International Journal of Remote Sensing. 24(5). 1151–1156. 65 indexed citations
16.
Pardo‐Igúzquiza, Eulogio, Mario Chica‐Olmo, & Francisco J. Rodrı́guez-Tovar. (1994). CYSTRATI: A computer program for spectral analysis of stratigraphic successions. Computers & Geosciences. 20(4). 511–584. 26 indexed citations
17.
18.
Pardo‐Igúzquiza, Eulogio & Mario Chica‐Olmo. (1994). Spectral simulation of multivariable stationary random functions using covariance fourier transforms. Mathematical Geology. 26(3). 277–299. 15 indexed citations
19.
Chica‐Olmo, Mario, et al.. (1993). The Fourier Integral Method: An efficient spectral method for simulation of random fields. Mathematical Geology. 25(2). 177–217. 134 indexed citations
20.
Jiménez‐Espinosa, Rosario, A. J. Sousa, & Mario Chica‐Olmo. (1993). Identification of geochemical anomalies using principal component analysis and factorial kriging analysis. Journal of Geochemical Exploration. 46(3). 245–256. 30 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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