M. Montesino

1.3k total citations
7 papers, 90 citations indexed

About

M. Montesino is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, M. Montesino has authored 7 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Global and Planetary Change, 3 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Ecology. Recurrent topics in M. Montesino's work include Climate change impacts on agriculture (3 papers), Remote Sensing in Agriculture (3 papers) and Crop Yield and Soil Fertility (2 papers). M. Montesino is often cited by papers focused on Climate change impacts on agriculture (3 papers), Remote Sensing in Agriculture (3 papers) and Crop Yield and Soil Fertility (2 papers). M. Montesino collaborates with scholars based in United Kingdom, Spain and Denmark. M. Montesino's co-authors include Jørgen E. Olesen, John R. Porter, Ana F. Militino, M. D. Ugarte, Reimund P. Rötter, Andrew J. Challinor, Peter M. Atkinson, Daniel Wallach, Ann‐Kristin Koehler and Qunming Wang and has published in prestigious journals such as Remote Sensing of Environment, Agricultural and Forest Meteorology and Remote Sensing.

In The Last Decade

M. Montesino

7 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Montesino United Kingdom 5 48 46 36 15 14 7 90
Christian Klein Germany 4 34 0.7× 42 0.9× 49 1.4× 7 0.5× 11 0.8× 5 80
Işık Öztürk Denmark 5 79 1.6× 78 1.7× 40 1.1× 20 1.3× 45 3.2× 6 150
Kundan Dhakal United States 7 12 0.3× 56 1.2× 30 0.8× 23 1.5× 18 1.3× 12 99
Jennifer Hsiao United States 4 35 0.7× 54 1.2× 52 1.4× 25 1.7× 21 1.5× 6 116
Gerhard Kubu Austria 4 30 0.6× 31 0.7× 35 1.0× 9 0.6× 17 1.2× 7 78
Howard Cox Australia 3 54 1.1× 39 0.8× 18 0.5× 26 1.7× 16 1.1× 3 104
Matías G. Goldenberg Argentina 8 24 0.5× 29 0.6× 49 1.4× 22 1.5× 13 0.9× 17 108
Dongmin Zhao China 5 20 0.4× 31 0.7× 42 1.2× 26 1.7× 5 0.4× 5 93
Gloria Padovan Italy 5 25 0.5× 44 1.0× 17 0.5× 18 1.2× 18 1.3× 10 92
Camilo Bagnato Argentina 6 17 0.4× 19 0.4× 48 1.3× 35 2.3× 8 0.6× 8 101

Countries citing papers authored by M. Montesino

Since Specialization
Citations

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

Fields of papers citing papers by M. Montesino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Montesino

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

All Works

7 of 7 papers shown
1.
Montesino, M., et al.. (2023). Unpaired spatio-temporal fusion of image patches (USTFIP) from cloud covered images. Remote Sensing of Environment. 295. 113709–113709. 4 indexed citations
2.
Moradi, Mehdi, M. Montesino, M. D. Ugarte, & Ana F. Militino. (2021). Locally adaptive change-point detection (LACPD) with applications to environmental changes. Stochastic Environmental Research and Risk Assessment. 36(1). 251–269. 1 indexed citations
3.
Militino, Ana F., et al.. (2020). Using RGISTools to Estimate Water Levels in Reservoirs and Lakes. Remote Sensing. 12(12). 1934–1934. 6 indexed citations
4.
Militino, Ana F., M. D. Ugarte, & M. Montesino. (2019). Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure. Stochastic Environmental Research and Risk Assessment. 33(10). 1737–1750. 12 indexed citations
5.
Montesino, M., Daniel Wallach, Jørgen E. Olesen, et al.. (2018). Data requirements for crop modelling—Applying the learning curve approach to the simulation of winter wheat flowering time under climate change. European Journal of Agronomy. 95. 33–44. 7 indexed citations
6.
Montesino, M., Jørgen E. Olesen, & John R. Porter. (2015). Can crop-climate models be accurate and precise? A case study for wheat production in Denmark. Agricultural and Forest Meteorology. 202. 51–60. 9 indexed citations
7.
Montesino, M., Jørgen E. Olesen, & John R. Porter. (2013). A genotype, environment and management (GxExM) analysis of adaptation in winter wheat to climate change in Denmark. Agricultural and Forest Meteorology. 187. 1–13. 51 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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