Javier Litago

602 total citations
26 papers, 445 citations indexed

About

Javier Litago is a scholar working on Global and Planetary Change, Ecology and Plant Science. According to data from OpenAlex, Javier Litago has authored 26 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 12 papers in Ecology and 7 papers in Plant Science. Recurrent topics in Javier Litago's work include Remote Sensing in Agriculture (12 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Land Use and Ecosystem Services (7 papers). Javier Litago is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Plant Water Relations and Carbon Dynamics (9 papers) and Land Use and Ecosystem Services (7 papers). Javier Litago collaborates with scholars based in Spain, United States and Honduras. Javier Litago's co-authors include Alicia Palacios‐Orueta, Susan L. Ustin, Margarita Huesca, Michael L. Whiting, Shruti Khanna, David Riaño, V. Sánchez-Girón, Emilio Chuvieco, Stephen V. Stehman and Marc Padilla and has published in prestigious journals such as Remote Sensing of Environment, Agriculture Ecosystems & Environment and Agricultural and Forest Meteorology.

In The Last Decade

Javier Litago

26 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Litago Spain 12 282 273 121 74 62 26 445
Maciej Bartold Poland 12 200 0.7× 282 1.0× 170 1.4× 57 0.8× 96 1.5× 41 435
Mingzhu Xu China 10 229 0.8× 268 1.0× 133 1.1× 119 1.6× 68 1.1× 21 409
Gao Lin China 8 187 0.7× 252 0.9× 151 1.2× 71 1.0× 95 1.5× 28 434
Harikishan Jayanthi United States 9 343 1.2× 251 0.9× 194 1.6× 110 1.5× 67 1.1× 15 529
Michael Battaglia United States 13 195 0.7× 201 0.7× 115 1.0× 62 0.8× 55 0.9× 33 445
Jiaxin Qian China 10 189 0.7× 155 0.6× 194 1.6× 72 1.0× 123 2.0× 23 438
Chaoya Dang China 12 354 1.3× 204 0.7× 129 1.1× 68 0.9× 111 1.8× 30 547
Hugues Roméo Bazié Burkina Faso 10 243 0.9× 128 0.5× 97 0.8× 40 0.5× 62 1.0× 17 468
Lorenzo Seguini Italy 9 284 1.0× 242 0.9× 105 0.9× 191 2.6× 102 1.6× 16 590
Salvatore Falanga Bolognesi Italy 11 277 1.0× 247 0.9× 120 1.0× 155 2.1× 62 1.0× 19 450

Countries citing papers authored by Javier Litago

Since Specialization
Citations

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

Fields of papers citing papers by Javier Litago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Litago

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Litago. A scholar is included among the top collaborators of Javier Litago 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 Javier Litago. Javier Litago 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.
2.
Litago, Javier, et al.. (2023). Mapping Cropland Intensification in Ecuador through Spectral Analysis of MODIS NDVI Time Series. Agronomy. 13(9). 2329–2329. 3 indexed citations
3.
4.
Huesca, Margarita, Thomas Schmid, Rosa Inclán, et al.. (2020). First Insights on Soil Respiration Prediction across the Growth Stages of Rainfed Barley Based on Simulated MODIS and Sentinel-2 Spectral Indices. Remote Sensing. 12(17). 2724–2724. 2 indexed citations
5.
Wiese, Klaus, et al.. (2019). Fallowing temporal patterns assessment in rainfed agricultural areas based on NDVI time series autocorrelation values. International Journal of Applied Earth Observation and Geoinformation. 82. 101890–101890. 12 indexed citations
6.
Huesca, Margarita, et al.. (2015). Ecosystem functional assessment based on the “optical type” concept and self-similarity patterns: An application using MODIS-NDVI time series autocorrelation. International Journal of Applied Earth Observation and Geoinformation. 43. 132–148. 17 indexed citations
7.
Litago, Javier, et al.. (2015). Assessment of the gross primary production dynamics of a Mediterranean holm oak forest by remote sensing time series analysis. Agroforestry Systems. 89(3). 491–510. 8 indexed citations
8.
Padilla, Marc, Stephen V. Stehman, Javier Litago, & Emilio Chuvieco. (2014). Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products. Remote Sensing. 6(3). 2050–2068. 37 indexed citations
9.
Huesca, Margarita, et al.. (2013). Modeling and forecasting MODIS-based Fire Potential Index on a pixel basis using time series models. International Journal of Applied Earth Observation and Geoinformation. 26. 363–376. 25 indexed citations
10.
Palacios‐Orueta, Alicia, Margarita Huesca, Michael L. Whiting, et al.. (2012). Derivation of phenological metrics by function fitting to time-series of Spectral Shape Indexes AS1 and AS2: Mapping cotton phenological stages using MODIS time series. Remote Sensing of Environment. 126. 148–159. 36 indexed citations
11.
Huesca, Margarita, et al.. (2008). Model design to predict forest fire risk in Navarra (Spain) using time series analysis. UPM Digital Archive (Technical University of Madrid). 13. 1 indexed citations
12.
Palacios‐Orueta, Alicia, et al.. (2008). Cotton phenology analysis with the new remote sensing spectral angle indexes AS1 and AS2.. 2 indexed citations
13.
Khanna, Shruti, Alicia Palacios‐Orueta, Michael L. Whiting, et al.. (2007). Development of angle indexes for soil moisture estimation, dry matter detection and land-cover discrimination. Remote Sensing of Environment. 109(2). 154–165. 98 indexed citations
14.
Litago, Javier, Fátima Baptista, J.F. Meneses, et al.. (2005). Statistical Modelling of the Microclimate in a Naturally Ventilated Greenhouse. Biosystems Engineering. 92(3). 365–381. 10 indexed citations
15.
Palacios‐Orueta, Alicia, Shruti Khanna, Javier Litago, Michael L. Whiting, & Susan L. Ustin. (2005). Assessment of NDVI and NDWI spectral indices using MODIS time series analysis and development of a new spectral index based on MODIS shortwave infrared bands. 33 indexed citations
16.
Sánchez-Girón, V., et al.. (2004). Effect of soil compaction and water content on the resulting forces acting on three seed drill furrow openers. Soil and Tillage Research. 81(1). 25–37. 24 indexed citations
17.
Litago, Javier, et al.. (2004). Statistical Procedure for Clonal Preselection ofVitis viniferaL. cv. Tempranillo in the Duero Valley, Spain. American Journal of Enology and Viticulture. 55(4). 335–345. 3 indexed citations
18.
Darné, Olivier, Javier Litago, & Michel Terraza. (2002). Tests de racines unitaires saisonnières pour des données journalières. French digital mathematics library (Numdam). 50(2). 71–91. 3 indexed citations
19.
Baptista, Fátima, Javier Litago, Luis Manuel Navas-Gracia, & J.F. Meneses. (2001). VALIDATION AND COMPARISON OF A PHYSICAL AND A STATISTICAL DYNAMIC CLIMATEC MODEL FOR A MEDITERRANEAN GREENHOUSE IN PORTUGAL. Acta Horticulturae. 479–486. 1 indexed citations
20.
Diebolt, Claude & Javier Litago. (1997). Education and economic growth in Germany before the second world war. An econometric analysis of dynamic relations. Historical social research. 22(2). 132–149. 9 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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