Fernando De Sales

1.2k total citations
33 papers, 838 citations indexed

About

Fernando De Sales is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Fernando De Sales has authored 33 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 3 papers in Oceanography. Recurrent topics in Fernando De Sales's work include Climate variability and models (20 papers), Meteorological Phenomena and Simulations (13 papers) and Plant Water Relations and Carbon Dynamics (11 papers). Fernando De Sales is often cited by papers focused on Climate variability and models (20 papers), Meteorological Phenomena and Simulations (13 papers) and Plant Water Relations and Carbon Dynamics (11 papers). Fernando De Sales collaborates with scholars based in United States, Brazil and Germany. Fernando De Sales's co-authors include Yongkang Xue, Ratko Vasic, Jimy Dudhia, Zavisă Janjić, Carlos R. Mechoso, Trent Biggs, Gregory S. Okin, Yu Gu, Stephen D. Prince and Akio Arakawa and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Scientific Reports.

In The Last Decade

Fernando De Sales

31 papers receiving 830 citations

Peers

Fernando De Sales

GPC

ECOLO

WST

Hideki Kanamaru United States

Marta Llopart Brazil

Swen Brands Spain

Myriam Montesarchio Italy

Xiaodong Zeng China

Koji Dairaku Japan

Silje Lund Sørland Switzerland

Rodica Tomozeiu Italy

Ennio Ferrari Italy

Kajsa M. Parding Norway

Hideki Kanamaru United States

Fernando De Sales

650 ×0.9

GPC

473 ×0.8

80 ×1.0

ECOLO

100 ×1.4

WST

107 ×1.6

Citations per year, relative to Fernando De Sales Fernando De Sales (= 1×) peers Hideki Kanamaru

Countries citing papers authored by Fernando De Sales

Since Specialization

Citations

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

Fields of papers citing papers by Fernando De Sales

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando De Sales. 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 Fernando De Sales. The network helps show where Fernando De Sales may publish in the future.

Co-authorship network of co-authors of Fernando De Sales

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

All Works

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20 of 20 papers shown

Parajuli, Sagar, Trent Biggs, Fernando De Sales, et al.. (2024). Impact of irrigation on farmworkers’ heat stress in California differs by season and during the day and night. Communications Earth & Environment. 5(1). 4 indexed citations

Moreira, Rodrigo Martins, et al.. (2024). Identifying clusters of precipitation for the Brazilian Legal Amazon based on magnitude of trends and its correlation with sea surface temperature. Scientific Reports. 14(1). 14067–14067. 1 indexed citations

Quandt, Amy, et al.. (2024). Changing climates, changing lives: Voices of a Brazilian Amazon farming community in a time of climate crisis. PLOS Climate. 3(11). e0000522–e0000522.

Moreira, Rodrigo Martins, et al.. (2023). Precipitation Variability for Protected Areas of Primary Forest and Pastureland in Southwestern Amazônia. Climate. 11(2). 27–27. 3 indexed citations

Sales, Fernando De, et al.. (2023). Quantifying Fire-Induced Surface Climate Changes in the Savanna and Rainforest Biomes of Brazil. Fire. 6(8). 311–311. 1 indexed citations

Sales, Fernando De, et al.. (2022). Impacts of burn severity on short-term postfire vegetation recovery, surface albedo, and land surface temperature in California ecoregions. PLoS ONE. 17(11). e0274428–e0274428. 9 indexed citations

Sales, Fernando De, et al.. (2022). Evaluation of the CMIP6 Performance in Simulating Precipitation in the Amazon River Basin. Climate. 10(8). 122–122. 24 indexed citations

Biggs, Trent, et al.. (2021). Forests Mitigate Drought in an Agricultural Region of the Brazilian Amazon: Atmospheric Moisture Tracking to Identify Critical Source Areas. Geophysical Research Letters. 48(5). 33 indexed citations

Sales, Fernando De, et al.. (2020). Impacts of global warming on southern California's winegrape climate suitability. Advances in Climate Change Research. 11(3). 279–293. 20 indexed citations

10.

Kebe, Ibourahima, Ismaïla Diallo, Mouhamadou Bamba Sylla, Fernando De Sales, & Arona Diédhiou. (2020). Late 21st Century Projected Changes in the Relationship between Precipitation, African Easterly Jet, and African Easterly Waves. Atmosphere. 11(4). 353–353. 17 indexed citations

11.

Diallo, Ismaïla, Yongkang Xue, Qian Li, Fernando De Sales, & Wei Li. (2019). Dynamical downscaling the impact of spring Western US land surface temperature on the 2015 flood extremes at the Southern Great Plains: effect of domain choice, dynamic cores and land surface parameterization. Climate Dynamics. 53(1-2). 1039–1061. 24 indexed citations

12.

Lee, J., Yuxuan Xue, & Fernando De Sales. (2015). Spin-up simulation behaviors in a climate model to build a basement of long-time simulation. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

13.

Gu, Yu, Yongkang Xue, Fernando De Sales, & K. N. Liou. (2015). A GCM investigation of dust aerosol impact on the regional climate of North Africa and South/East Asia. Climate Dynamics. 46(7-8). 2353–2370. 40 indexed citations

14.

Sales, Fernando De, Yongkang Xue, & Gregory S. Okin. (2015). Impact of burned areas on the northern African seasonal climate from the perspective of regional modeling. Climate Dynamics. 47(11). 3393–3413. 22 indexed citations

15.

Xue, Yongkang, et al.. (2015). Improving snow albedo processes in WRF/SSiB regional climate model to assess impact of dust and black carbon in snow on surface energy balance and hydrology over western U.S.. Journal of Geophysical Research Atmospheres. 120(8). 3228–3248. 54 indexed citations

16.

Hagos, Samson, L. Ruby Leung, Yongkang Xue, et al.. (2014). Assessment of uncertainties in the response of the African monsoon precipitation to land use change simulated by a regional model. Climate Dynamics. 43(9-10). 2765–2775. 30 indexed citations

17.

Kanamitsu, Masao, et al.. (2014). An evaluation of the seasonal added value of downscaling over the United States using new verification measures. Theoretical and Applied Climatology. 122(1-2). 47–57. 9 indexed citations

18.

Ma, Hsi‐Yen, Carlos R. Mechoso, Yongkang Xue, et al.. (2010). Impact of land surface processes on the South American warm season climate. Climate Dynamics. 37(1-2). 187–203. 27 indexed citations

19.

Xue, Yongkang, Glen M. MacDonald, Yifan Yu, et al.. (2009). Analysis of Climate and Vegetation Characteristics along the Savanna-Desert Ecotone in Mali Using MODIS Data. GIScience & Remote Sensing. 46(4). 424–450. 11 indexed citations

20.

Sales, Fernando De & Yongkang Xue. (2006). Investigation of seasonal prediction of the South American regional climate using the nested model system. Journal of Geophysical Research Atmospheres. 111(D20). 15 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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