Marcela Arias

1.6k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Marcela Arias is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Marcela Arias has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 4 papers in Environmental Engineering and 3 papers in Atmospheric Science. Recurrent topics in Marcela Arias's work include Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (4 papers) and Remote Sensing and Land Use (3 papers). Marcela Arias is often cited by papers focused on Remote Sensing in Agriculture (6 papers), Remote Sensing and LiDAR Applications (4 papers) and Remote Sensing and Land Use (3 papers). Marcela Arias collaborates with scholars based in France, Italy and Belgium. Marcela Arias's co-authors include Jordi Inglada, Arthur Vincent, David Morin, Benjamin Tardy, Claire Marais-Sicre, Silvia Valero, Pierre Defourny, Benjamin Koetz, Sophie Bontemps and Guadalupe Sepulcre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Marcela Arias

7 papers receiving 1.1k citations

Hit Papers

Operational High Resolution Land Cover Map Production at ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcela Arias France 6 852 420 335 305 250 8 1.1k
Raphaël d’Andrimont Italy 15 683 0.8× 414 1.0× 340 1.0× 224 0.7× 222 0.9× 38 1.2k
Marcel Schwieder Germany 16 887 1.0× 510 1.2× 385 1.1× 213 0.7× 238 1.0× 35 1.2k
Lina Hu China 7 770 0.9× 308 0.7× 319 1.0× 234 0.8× 248 1.0× 7 1.1k
David Morin France 13 1.2k 1.4× 618 1.5× 548 1.6× 291 1.0× 266 1.1× 26 1.5k
Julie Betbeder France 18 840 1.0× 507 1.2× 467 1.4× 147 0.5× 232 0.9× 39 1.3k
Mingquan Wu China 22 902 1.1× 438 1.0× 530 1.6× 235 0.8× 280 1.1× 50 1.3k
Giulia Tagliabue Italy 15 661 0.8× 374 0.9× 306 0.9× 140 0.5× 153 0.6× 33 980
Qiong Hu China 19 743 0.9× 577 1.4× 290 0.9× 194 0.6× 383 1.5× 50 1.3k
Chunyuan Diao United States 17 618 0.7× 505 1.2× 249 0.7× 308 1.0× 207 0.8× 41 1.2k
Xiangqin Wei China 23 1.1k 1.3× 872 2.1× 583 1.7× 275 0.9× 407 1.6× 50 1.9k

Countries citing papers authored by Marcela Arias

Since Specialization
Citations

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

Fields of papers citing papers by Marcela Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Arias

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

All Works

8 of 8 papers shown
1.
Arias, Marcela, et al.. (2022). Mestizaje gráfico en Colombia entre 1900 y 1930. El diseño gráfico y la construcción de una imagen de nación moderna y civilizada. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Inglada, Jordi, et al.. (2017). Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series. Remote Sensing. 9(1). 95–95. 329 indexed citations breakdown →
4.
Valero, Silvia, David Morin, Jordi Inglada, et al.. (2016). Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions. Remote Sensing. 8(1). 55–55. 102 indexed citations
5.
Inglada, Jordi, Arthur Vincent, Marcela Arias, & Claire Marais-Sicre. (2016). Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series. Remote Sensing. 8(5). 362–362. 218 indexed citations
6.
Inglada, Jordi, Marcela Arias, Benjamin Tardy, et al.. (2015). Assessment of an Operational System for Crop Type Map Production Using High Temporal and Spatial Resolution Satellite Optical Imagery. Remote Sensing. 7(9). 12356–12379. 295 indexed citations
7.
Waldner, François, Silvia Valero, David Morin, et al.. (2015). An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series. Remote Sensing. 7(10). 13208–13232. 119 indexed citations
8.
Lucas, Richard, P. Blonda, Peter Bunting, et al.. (2014). The Earth Observation Data for Habitat Monitoring (EODHaM) system. International Journal of Applied Earth Observation and Geoinformation. 37. 17–28. 57 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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