Eytan Rocheta

405 total citations
11 papers, 298 citations indexed

About

Eytan Rocheta is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Eytan Rocheta has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 6 papers in Atmospheric Science and 4 papers in Water Science and Technology. Recurrent topics in Eytan Rocheta's work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Hydrology and Watershed Management Studies (3 papers). Eytan Rocheta is often cited by papers focused on Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Hydrology and Watershed Management Studies (3 papers). Eytan Rocheta collaborates with scholars based in Australia, United States and Botswana. Eytan Rocheta's co-authors include Jason P. Evans, Ashish Sharma, Fiona Johnson, Youngil Kim, Jamie Pittock, Ditiro B. Moalafhi, Rajeshwar Mehrotra, Peter J. Cowell, B. G. Thom and Nick Harvey and has published in prestigious journals such as Journal of Climate, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Eytan Rocheta

11 papers receiving 291 citations

Peers

Eytan Rocheta

GPC

AS

WST

OE

ECOLO

Vicky Espinoza United States

M. D. Kustu United States

Oscar Felipe-Obando Peru

Mingxi Shen China

Theodoros Mastrotheodoros Switzerland

Lishu Lian China

Emma Aalbers Netherlands

J. Jacobeit Germany

Gabriele Confortola Italy

Sothea Khem Cambodia

Vicky Espinoza United States

Eytan Rocheta

270 ×1.1

GPC

243 ×1.5

AS

62 ×0.8

WST

13 ×0.4

OE

15 ×0.6

ECOLO

Citations per year, relative to Eytan Rocheta Eytan Rocheta (= 1×) peers Vicky Espinoza

Countries citing papers authored by Eytan Rocheta

Since Specialization

Citations

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

Fields of papers citing papers by Eytan Rocheta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eytan Rocheta

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

All Works

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11 of 11 papers shown

1.

Sheldon, Fran, et al.. (2024). Are environmental water requirements being met in the Murray–Darling Basin, Australia?. Marine and Freshwater Research. 75(8). 9 indexed citations

2.

Pittock, Jamie, et al.. (2022). Towards a scientific evaluation of environmental water offsetting in the Murray–Darling Basin, Australia. Marine and Freshwater Research. 74(3). 264–280. 5 indexed citations

3.

Kim, Youngil, Jason P. Evans, Ashish Sharma, & Eytan Rocheta. (2021). Spatial, Temporal, and Multivariate Bias in Regional Climate Model Simulations. Geophysical Research Letters. 48(11). 18 indexed citations

4.

Rocheta, Eytan, Jason P. Evans, & Ashish Sharma. (2020). Correcting lateral boundary biases in regional climate modelling: the effect of the relaxation zone. Climate Dynamics. 55(9-10). 2511–2521. 19 indexed citations

5.

Kim, Youngil, Eytan Rocheta, Jason P. Evans, & Ashish Sharma. (2020). Impact of bias correction of regional climate model boundary conditions on the simulation of precipitation extremes. Climate Dynamics. 55(11-12). 3507–3526. 33 indexed citations

6.

Thom, B. G., et al.. (2019). The role of coastal processes in the management of the mouth of the River Murray, Australia: Present and future challenges. River Research and Applications. 36(4). 656–667. 15 indexed citations

7.

Moalafhi, Ditiro B., Ashish Sharma, Jason P. Evans, Rajeshwar Mehrotra, & Eytan Rocheta. (2017). Impact of bias‐corrected reanalysis‐derived lateral boundary conditions on WRF simulations. Journal of Advances in Modeling Earth Systems. 9(4). 1828–1846. 13 indexed citations

8.

Rocheta, Eytan, Jason P. Evans, & Ashish Sharma. (2017). Can Bias Correction of Regional Climate Model Lateral Boundary Conditions Improve Low-Frequency Rainfall Variability?. Journal of Climate. 30(24). 9785–9806. 59 indexed citations

9.

Rocheta, Eytan, Jason P. Evans, & Ashish Sharma. (2014). Assessing atmospheric bias correction for dynamical consistency using potential vorticity. Environmental Research Letters. 9(12). 124010–124010. 43 indexed citations

10.

Rocheta, Eytan, et al.. (2013). How well do general circulation models represent low‐frequency rainfall variability?. Water Resources Research. 50(3). 2108–2123. 81 indexed citations

11.

Rocheta, Eytan & William L. Peirson. (2011). Urban water supply in a carbon constrained Australia. 3 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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