José Luis Arumí

1.9k total citations
117 papers, 1.4k citations indexed

About

José Luis Arumí is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, José Luis Arumí has authored 117 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Water Science and Technology, 33 papers in Environmental Engineering and 31 papers in Global and Planetary Change. Recurrent topics in José Luis Arumí's work include Hydrology and Watershed Management Studies (49 papers), Groundwater and Isotope Geochemistry (17 papers) and Water resources management and optimization (13 papers). José Luis Arumí is often cited by papers focused on Hydrology and Watershed Management Studies (49 papers), Groundwater and Isotope Geochemistry (17 papers) and Water resources management and optimization (13 papers). José Luis Arumí collaborates with scholars based in Chile, United States and Germany. José Luis Arumí's co-authors include Diego Rivera, Ricardo Oyarzún, Octavio Rojas, Enrique Muñoz, Vanessa Novoa, Ramón Ahumada-Rudolph, Katia Sáez, Max Billib, Juan Munizaga and Francisco de la Barrera and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and The Journal of Physical Chemistry C.

In The Last Decade

José Luis Arumí

106 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Luis Arumí Chile 22 717 481 467 230 194 117 1.4k
Zhuping Sheng United States 20 531 0.7× 293 0.6× 428 0.9× 227 1.0× 250 1.3× 92 1.3k
Suzana Maria Gico Lima Montenegro Brazil 21 795 1.1× 604 1.3× 597 1.3× 472 2.1× 103 0.5× 153 1.8k
Dongguo Shao China 25 992 1.4× 530 1.1× 421 0.9× 346 1.5× 300 1.5× 83 2.0k
Tianling Qin China 24 745 1.0× 972 2.0× 318 0.7× 232 1.0× 139 0.7× 131 1.7k
Mohamed Ouessar Tunisia 19 333 0.5× 461 1.0× 489 1.0× 336 1.5× 103 0.5× 65 1.1k
Limin Duan China 23 529 0.7× 628 1.3× 301 0.6× 188 0.8× 45 0.2× 118 1.4k
Hengpeng Li China 23 1.0k 1.4× 965 2.0× 344 0.7× 270 1.2× 86 0.4× 89 2.2k
Teodoro Estrela Spain 19 795 1.1× 620 1.3× 293 0.6× 109 0.5× 387 2.0× 46 1.4k
Jens Kværner Norway 16 439 0.6× 235 0.5× 315 0.7× 145 0.6× 67 0.3× 24 1.2k
Xixi Wang China 21 746 1.0× 628 1.3× 349 0.7× 234 1.0× 65 0.3× 82 1.4k

Countries citing papers authored by José Luis Arumí

Since Specialization
Citations

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

Fields of papers citing papers by José Luis Arumí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Luis Arumí. 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 José Luis Arumí. The network helps show where José Luis Arumí may publish in the future.

Co-authorship network of co-authors of José Luis Arumí

This figure shows the co-authorship network connecting the top 25 collaborators of José Luis Arumí. A scholar is included among the top collaborators of José Luis Arumí 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 José Luis Arumí. José Luis Arumí 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.
Oyarzún, Ricardo, et al.. (2025). Modeling Metal(loid)s Transport in Arid Mountain Headwater Andean Basin: A WASP-Based Approach. Water. 17(13). 1905–1905.
2.
3.
Muñoz, Enrique, et al.. (2023). Remote Sensing with UAVs for Modeling Floods: An Exploratory Approach Based on Three Chilean Rivers. Water. 15(8). 1502–1502. 3 indexed citations
4.
Arumí, José Luis, et al.. (2023). Mapping of Areas Vulnerable to Flash Floods by Means of Morphometric Analysis with Weighting Criteria Applied. Water. 15(6). 1053–1053. 9 indexed citations
5.
6.
Montalva, Gonzalo, et al.. (2023). InSAR-Based Early Warning Monitoring Framework to Assess Aquifer Deterioration. Remote Sensing. 15(7). 1786–1786. 8 indexed citations
7.
Balocchi, Francisco, Diego Rivera, José Luis Arumí, et al.. (2022). An Analysis of the Effects of Large Wildfires on the Hydrology of Three Small Catchments in Central Chile Using Tritium-Based Measurements and Hydrological Metrics. Hydrology. 9(3). 45–45. 11 indexed citations
8.
Oyarzún, Jorge, Pablo Pastén, Robert L. Runkel, et al.. (2021). Assessment of a conservative mixing model for the evaluation of constituent behavior below river confluences, Elqui River Basin, Chile. River Research and Applications. 37(7). 967–978. 8 indexed citations
9.
Banegas‐Medina, Andy, Ourania Tzoraki, Luc Brendonck, et al.. (2021). Hydrological, Environmental and Taxonomical Heterogeneity during the Transition from Drying to Flowing Conditions in a Mediterranean Intermittent River. Biology. 10(4). 316–316. 10 indexed citations
10.
Rodríguez‐López, Lien, et al.. (2021). Evidence of Climate Change Based on Lake Surface Temperature Trends in South Central Chile. Remote Sensing. 13(22). 4535–4535. 9 indexed citations
11.
Cuevas, Jaime G., José Luis Arumí, & José Dörner. (2019). Assessing methods for the estimation of response times of stream discharge: the role of rainfall duration. Journal of Hydrology and Hydromechanics. 67(2). 143–153. 8 indexed citations
12.
Novoa, Vanessa, Ramón Ahumada-Rudolph, Octavio Rojas, et al.. (2019). Understanding agricultural water footprint variability to improve water management in Chile. The Science of The Total Environment. 670. 188–199. 94 indexed citations
13.
Novoa, Vanessa, Ramón Ahumada-Rudolph, Octavio Rojas, et al.. (2018). Sustainability assessment of the agricultural water footprint in the Cachapoal River basin, Chile. Ecological Indicators. 98. 19–28. 67 indexed citations
14.
Andreoli, Andrea, et al.. (2014). Uso de imágenes de satélite para evaluar los efectos de cambio de cobertura de suelo en la escorrentía directa de una cuenca andina. IMTA-TC. 5(4). 145–151. 3 indexed citations
15.
Rivera, Diego, et al.. (2013). Monitoreo continuo de humedad con fines hidrológicos. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Andreoli, Andrea, Luca Mao, Andrés Iroumé, et al.. (2012). The need for a hydromorphological approach to Chilean river management. Revista chilena de historia natural. 85(3). 339–343. 16 indexed citations
17.
Vargas, José Ismael De la Rosa, et al.. (2012). Balance hídrico mensual de una cuenca Patagónica de Chile: Aplicación de un modelo parsimonioso. 32–41. 2 indexed citations
18.
Stehr, Alejandra, et al.. (2010). Modelación de la respuesta hidrológica al cambio climático: experiencias de dos cuencas de la zona centro-sur de Chile. Tecnología y Ciencias del Agua. 1(4). 37–58. 11 indexed citations
19.
Arumí, José Luis, et al.. (2009). Modificación del modelo hidrológico WaSiM-ETH para mejorar su aplicación en áreas regadas. 24(2). 23–36. 3 indexed citations
20.
Arumí, José Luis, et al.. (2003). Balances hidrológicos para estimar recarga de acuíferos en el Secano Interior, Chile. IMTA-TC. 18(3). 17–28. 5 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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