David Montero

432 total citations · 1 hit paper
18 papers, 233 citations indexed

About

David Montero is a scholar working on Artificial Intelligence, Global and Planetary Change and Ecology. According to data from OpenAlex, David Montero has authored 18 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in David Montero's work include Remote Sensing in Agriculture (6 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Advanced Computational Techniques and Applications (4 papers). David Montero is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Advanced Computational Techniques and Applications (4 papers). David Montero collaborates with scholars based in Germany, Spain and Colombia. David Montero's co-authors include César Aybar, Miguel D. Mahecha, Sebastian Wieneke, Luis Gómez‐Chova, Gonzalo Mateo‐García, Dirk Tiede, Martin Sudmanns, Freddie Kalaitzis, Benjamin Dechant and Francisco Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Geoscience and Remote Sensing Letters and Scientific Data.

In The Last Decade

David Montero

16 papers receiving 215 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.

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

2023 100 citations David Montero, César Aybar et al. Scientific Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Montero Germany	7	117	93	51	43	30	18	233
Adeline Maciel Brazil	6	147 1.3×	146 1.6×	51 1.0×	50 1.2×	30 1.0×	10	314
Hugo do Nascimento Bendini Brazil	10	184 1.6×	109 1.2×	86 1.7×	80 1.9×	38 1.3×	33	310
Shilan Felegari Iran	8	118 1.0×	96 1.0×	57 1.1×	67 1.6×	61 2.0×	9	270
Sayyed Mohammad Javad Mirzadeh Iran	5	161 1.4×	163 1.8×	95 1.9×	45 1.0×	53 1.8×	9	314
Artur Nowakowski Poland	9	163 1.4×	92 1.0×	78 1.5×	83 1.9×	63 2.1×	19	323
Ricardo Cartaxo Portugal	4	159 1.4×	77 0.8×	34 0.7×	42 1.0×	57 1.9×	10	233
Yongguang Zhai China	10	113 1.0×	115 1.2×	45 0.9×	57 1.3×	82 2.7×	20	299
Peng Fang China	5	115 1.0×	75 0.8×	51 1.0×	20 0.5×	46 1.5×	11	298
Bimal K. Bhattacharya India	10	94 0.8×	51 0.5×	80 1.6×	68 1.6×	56 1.9×	31	249
Emilien Alvarez-Vanhard France	5	163 1.4×	85 0.9×	133 2.6×	61 1.4×	42 1.4×	8	287

Countries citing papers authored by David Montero

Since Specialization

Citations

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

Fields of papers citing papers by David Montero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Montero

This figure shows the co-authorship network connecting the top 25 collaborators of David Montero. A scholar is included among the top collaborators of David Montero 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 David Montero. David Montero 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:

18 of 18 papers shown

Scheuermann, Gerik, et al.. (2025). Interactive Earth system data cube visualization in Jupyter notebooks. Big Earth Data. 9(2). 321–335.

Camps‐Valls, Gustau, Miguel‐Ángel Fernández‐Torres, Fabian Gans, et al.. (2025). DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data. 12(1). 149–149. 4 indexed citations

Mahecha, Miguel D., et al.. (2024). Learning extreme vegetation response to climate drivers with recurrent neural networks. Nonlinear processes in geophysics. 31(4). 535–557. 3 indexed citations

Kattenborn, Teja, Sebastian Wieneke, David Montero, et al.. (2024). Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations. Communications Earth & Environment. 5(1). 8 indexed citations

Aybar, César, et al.. (2024). A Comprehensive Benchmark for Optical Remote Sensing Image Super-Resolution. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 6 indexed citations

Montero, David, Guido Kraemer, César Aybar, et al.. (2024). Earth System Data Cubes: Avenues for advancing Earth system research. FreiDok plus (Universitätsbibliothek Freiburg). 3. 5 indexed citations

Mahecha, Miguel D., et al.. (2024). SpectralIndices.jl: Streamlining spectral indices access and computation for Earth system research. SHILAP Revista de lepidopterología. XLVIII-4/W12-2024. 89–95.

Aybar, César, et al.. (2024). SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution. Scientific Data. 11(1). 1389–1389. 6 indexed citations

Montero, David, Miguel D. Mahecha, César Aybar, et al.. (2024). Recurrent Neural Networks for Modelling Gross Primary Production. 4214–4217. 4 indexed citations

10.

Montero, David, et al.. (2024). On-Demand Earth System Data Cubes. 7529–7532. 2 indexed citations

11.

Montero, David, et al.. (2023). A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research. Scientific Data. 10(1). 197–197. 100 indexed citations breakdown →

12.

Mahecha, Miguel D., et al.. (2023). Lexcube: Interactive Visualization of Large Earth System Data Cubes. IEEE Computer Graphics and Applications. 44(1). 25–37. 4 indexed citations

13.

Aybar, César, David Montero, Martin Sudmanns, et al.. (2022). CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2. Scientific Data. 9(1). 782–782. 50 indexed citations

14.

Montero, David, César Aybar, Miguel D. Mahecha, & Sebastian Wieneke. (2022). SPECTRAL: AWESOME SPECTRAL INDICES DEPLOYED VIA THE GOOGLE EARTH ENGINE JAVASCRIPT API. SHILAP Revista de lepidopterología. XLVIII-4/W1-2022. 301–306. 13 indexed citations

15.

Montero, David. (2021). eemont: A Python package that extends Google Earth Engine. The Journal of Open Source Software. 6(62). 3168–3168. 16 indexed citations

16.

Montero, David, et al.. (2018). Combination of satellite imagery with meteorological data for estimating reference evapotranspiration. SHILAP Revista de lepidopterología. 75–75. 3 indexed citations

17.

Montero, David, et al.. (2017). Evaluation of a NIR camera for monitoring yield and nitrogen effect in sugarcane. Agronomía Colombiana. 35(1). 82–91. 3 indexed citations

18.

Montero, David, et al.. (2017). Anomalías de vegetación asociadas con el fenómeno del ENOS en el valle geográfico del río Cauca, Colombia. SHILAP Revista de lepidopterología. 89–89. 6 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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