Cristián Mattar

3.9k total citations · 2 hit papers
74 papers, 2.9k citations indexed

About

Cristián Mattar is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Cristián Mattar has authored 74 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Environmental Engineering, 32 papers in Atmospheric Science and 29 papers in Global and Planetary Change. Recurrent topics in Cristián Mattar's work include Urban Heat Island Mitigation (27 papers), Remote Sensing in Agriculture (17 papers) and Cryospheric studies and observations (14 papers). Cristián Mattar is often cited by papers focused on Urban Heat Island Mitigation (27 papers), Remote Sensing in Agriculture (17 papers) and Cryospheric studies and observations (14 papers). Cristián Mattar collaborates with scholars based in Chile, Spain and United States. Cristián Mattar's co-authors include José A. Sobrino, Juan C. Jiménez‐Muñoz, Dražen Skoković, Jordi Cristóbal, A. Santamaría-Artigas, Yadvinder Malhi, Jonathan Barichivich, B. Franch, K. Takahashi and Gerard van der Schrier and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Cristián Mattar

74 papers receiving 2.8k citations

Hit Papers

Land Surface Temperature ... 2014 2026 2018 2022 2014 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristián Mattar Chile 26 1.6k 1.5k 1.2k 519 384 74 2.9k
Yunyue Yu United States 32 2.0k 1.3× 1.7k 1.1× 1.6k 1.4× 1.0k 2.0× 152 0.4× 79 3.3k
Hongbo Su China 30 1.3k 0.8× 1.6k 1.0× 713 0.6× 625 1.2× 277 0.7× 178 3.2k
Jordi Cristóbal Spain 16 1.5k 1.0× 1.1k 0.7× 917 0.8× 493 0.9× 401 1.0× 41 2.2k
Pei Leng China 26 2.3k 1.5× 1.1k 0.7× 1.8k 1.5× 447 0.9× 272 0.7× 115 3.0k
Juan Manuel Sánchez Spain 29 1.1k 0.7× 1.3k 0.9× 650 0.6× 443 0.9× 104 0.3× 106 2.4k
Carlos C. DaCamara Portugal 36 1.1k 0.7× 3.2k 2.1× 1.6k 1.4× 947 1.8× 242 0.6× 102 4.2k
César Coll Spain 33 2.9k 1.9× 1.4k 1.0× 2.0k 1.7× 595 1.1× 232 0.6× 95 3.8k
N. A. Brunsell United States 35 1.3k 0.8× 2.5k 1.7× 963 0.8× 840 1.6× 471 1.2× 110 4.0k
Himanshu Govil India 25 1.3k 0.9× 1.1k 0.7× 603 0.5× 340 0.7× 567 1.5× 95 2.2k
Aliihsan Şekertekin Türkiye 27 1.2k 0.8× 886 0.6× 576 0.5× 433 0.8× 343 0.9× 67 1.9k

Countries citing papers authored by Cristián Mattar

Since Specialization
Citations

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

Fields of papers citing papers by Cristián Mattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristián Mattar

This figure shows the co-authorship network connecting the top 25 collaborators of Cristián Mattar. A scholar is included among the top collaborators of Cristián Mattar 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 Cristián Mattar. Cristián Mattar 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.
Mattar, Cristián, et al.. (2023). Wind Simulations over Western Patagonia Using the Weather Research and Forecasting model and Reanalysis. Atmosphere. 14(7). 1062–1062. 4 indexed citations
3.
Mattar, Cristián, et al.. (2021). Snow Processes and Climate Sensitivity in an Arid Mountain Region, Northern Chile. Atmosphere. 12(4). 520–520. 8 indexed citations
4.
Ruíz, Soledad, et al.. (2020). Temporal dynamics and the influence of environmental variables on the prevalence of avian influenza virus in main wetlands in central Chile. Transboundary and Emerging Diseases. 68(3). 1601–1614. 10 indexed citations
5.
6.
Garaba, Shungudzemwoyo P., et al.. (2020). Hyperspectral longwave infrared reflectance spectra of naturally dried algae, anthropogenic plastics, sands and shells. Earth system science data. 12(4). 2665–2678. 22 indexed citations
8.
Jiménez‐Muñoz, Juan C., Jonathan Barichivich, Cristián Mattar, et al.. (2018). Spatio-temporal patterns of thermal anomalies and drought over tropical forests driven by recent extreme climatic anomalies. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1760). 20170300–20170300. 28 indexed citations
9.
Jiménez‐Muñoz, Juan C., Cristián Mattar, Jonathan Barichivich, et al.. (2016). Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015–2016. Scientific Reports. 6(1). 33130–33130. 467 indexed citations breakdown →
10.
Camacho, Fernando, Roselyne Lacaze, Frédéric Baret, et al.. (2015). Collection of Ground Biophysical Measurements in support of Copernicus Global Land Product Validation: The ImagineS database. EGU General Assembly Conference Abstracts. 2209. 9 indexed citations
11.
Jiménez‐Muñoz, Juan C., Cristián Mattar, José A. Sobrino, & Yadvinder Malhi. (2015). A database for the monitoring of thermal anomalies over the Amazon forest and adjacent intertropical oceans. Scientific Data. 2(1). 150024–150024. 12 indexed citations
12.
Jiménez‐Muñoz, Juan C., José A. Sobrino, Dražen Skoković, Cristián Mattar, & Jordi Cristóbal. (2014). Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data. IEEE Geoscience and Remote Sensing Letters. 11(10). 1840–1843. 738 indexed citations breakdown →
13.
Santamaría-Artigas, A., et al.. (2013). Primera aplicación de imágenes Fasat-Charlie al estudio de praderas semi-áridas de Chile. 78–88. 1 indexed citations
14.
Mattar, Cristián, et al.. (2013). Estimación de la evapotranspiración real en ecosistemas mediterráneos de Chile mediante datos ASTER y MODIS. 46–56. 1 indexed citations
15.
Mattar, Cristián, A. Santamaría-Artigas, & Claudio Durán-Alarcón. (2012). Estimación del área quemada en el Parque Nacional Torres del Paine utilizando datos de teledetección. 36–50. 4 indexed citations
16.
Sobrino, José A., B. Franch, Cristián Mattar, Juan C. Jiménez‐Muñoz, & Chiara Corbari. (2011). A method to estimate soil moisture from Airborne Hyperspectral Scanner (AHS) and ASTER data: Application to SEN2FLEX and SEN3EXP campaigns. Remote Sensing of Environment. 117. 415–428. 56 indexed citations
17.
Jiménez‐Muñoz, Juan C., José A. Sobrino, Jordi Cristóbal, et al.. (2010). Obtención de la temperatura de la superficie terrestre a partir de la serie histórica LANDSAT. 33(33). 53–63. 1 indexed citations
18.
Sobrino, José A., Cristián Mattar, Pablo Pardo, et al.. (2009). Soil emissivity and reflectance spectra measurements. Applied Optics. 48(19). 3664–3664. 39 indexed citations
19.
Mattar, Cristián, et al.. (2008). Método simple para identificación de zonas homogéneas de NDVI y temperatura de superficie en la Península Ibérica. 92–101. 2 indexed citations
20.
Mattar, Cristián, et al.. (2006). CARACTERIZACIÓN Y ZONIFICACIÓN EDÁFICA Y CLIMÁTICA DE LA REGIÓN DE COQUIMBO, CHILE. 6(3). 52–74. 10 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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