Gab Abramowitz

8.1k total citations · 1 hit paper
93 papers, 4.2k citations indexed

About

Gab Abramowitz is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Gab Abramowitz has authored 93 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Global and Planetary Change, 44 papers in Atmospheric Science and 19 papers in Water Science and Technology. Recurrent topics in Gab Abramowitz's work include Climate variability and models (60 papers), Plant Water Relations and Carbon Dynamics (35 papers) and Meteorological Phenomena and Simulations (30 papers). Gab Abramowitz is often cited by papers focused on Climate variability and models (60 papers), Plant Water Relations and Carbon Dynamics (35 papers) and Meteorological Phenomena and Simulations (30 papers). Gab Abramowitz collaborates with scholars based in Australia, United States and United Kingdom. Gab Abramowitz's co-authors include A. J. Pitman, Martin G. De Kauwe, Anna Ukkola, Hoshin V. Gupta, Ying‐Ping Wang, Martyn Clark, Craig H. Bishop, Jason P. Evans, Ming Ye and Jasper A. Vrugt and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Water Resources Research.

In The Last Decade

Gab Abramowitz

90 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust Future Changes in Meteorological Drought in CMIP6 Projections Despite Uncertainty in Precipitation

2020 328 citations Anna Ukkola, Martin G. De Kauwe et al. Geophysical Research Letters profile →

Peers

Countries citing papers authored by Gab Abramowitz

Since Specialization

Citations

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

Fields of papers citing papers by Gab Abramowitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gab Abramowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Gab Abramowitz. A scholar is included among the top collaborators of Gab Abramowitz 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 Gab Abramowitz. Gab Abramowitz 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

#	Work	Indexed citations
1	Electric vehicle battery storage displacement of grid storage in Australia’s renewable future 2025 ·Environmental Research Letters ·(unknown), Donna Green, Gab Abramowitz	0
2	How well do climate modes explain precipitation variability? 2024 ·npj Climate and Atmospheric Science ·Sanaa Hobeichi, Gab Abramowitz, Alex Sen Gupta, Andréa S. Taschetto, Doug Richardson, (unknown), (unknown), Lisa V. Alexander, A. J. Pitman	7
3	Time Variability Correction of CMIP6 Climate Change Projections 2024 ·Journal of Advances in Modeling Earth Systems ·(unknown), Craig H. Bishop, Sanaa Hobeichi, Nidhi Nishant, Gab Abramowitz, Steven C. Sherwood	1
4	On the Extrapolation of Generative Adversarial Networks for Downscaling Precipitation Extremes in Warmer Climates 2024 ·Geophysical Research Letters ·(unknown), Peter B. Gibson, Steven C. Sherwood, Gab Abramowitz	1
5	Opening Pandora's box: reducing global circulation model uncertainty in Australian simulations of the carbon cycle 2023 ·Earth System Dynamics ·Lina Teckentrup, Martin G. De Kauwe, Gab Abramowitz, A. J. Pitman, Anna Ukkola, Sanaa Hobeichi, (unknown), Benjamin Smith	3
6	Using Machine Learning to Cut the Cost of Dynamical Downscaling 2023 ·Earth s Future ·Sanaa Hobeichi, Nidhi Nishant, (unknown), Gab Abramowitz, A. J. Pitman, Steven C. Sherwood, Craig H. Bishop, Samuel Green	25
7	Reconciling historical changes in the hydrological cycle over land 2022 ·npj Climate and Atmospheric Science ·Sanaa Hobeichi, Gab Abramowitz, Anna Ukkola, Martin G. De Kauwe, A. J. Pitman, Jason P. Evans, Hylke E. Beck	22
8	Robust historical evapotranspiration trends across climate regimes 2021 ·Hydrology and earth system sciences ·Sanaa Hobeichi, Gab Abramowitz, Jason P. Evans	20
9	Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product 2019 ·Hydrology and earth system sciences ·Sanaa Hobeichi, Gab Abramowitz, Jason P. Evans, Hylke E. Beck	39
10	How representative are FLUXNET measurements of surface fluxes during temperature extremes? 2019 ·Biogeosciences ·(unknown), A. J. Pitman, Martin G. De Kauwe, Anna Ukkola, Gab Abramowitz, Peter Isaac	12
11	On the predictability of land surface fluxes from meteorological variables 2018 ·Geoscientific model development ·Ned Haughton, Gab Abramowitz, A. J. Pitman	14
12	Calibrating Climate Model Ensembles for Assessing Extremes in a Changing Climate 2018 ·Journal of Geophysical Research Atmospheres ·Nadja Herger, Oliver Angélil, Gab Abramowitz, Markus G. Donat, Dáithí A. Stone, Karsten Lehmann	20
13	Does predictability of fluxes vary between FLUXNET sites? 2018 ·Biogeosciences ·Ned Haughton, Gab Abramowitz, Martin G. De Kauwe, A. J. Pitman	22
14	Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate 2018 ·Hydrology and earth system sciences ·Sanaa Hobeichi, Gab Abramowitz, Jason P. Evans, Anna Ukkola	54
15	Derived Optimal Linear Combination Evapotranspiration(DOLCE): a global gridded synthesis ET estimate 2017 ·Sanaa Hobeichi, Gab Abramowitz, Jason P. Evans, Anna Ukkola	1
16	Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model 2016 ·Hydrology and earth system sciences ·Anna Ukkola, A. J. Pitman, Mark Decker, Martin G. De Kauwe, Gab Abramowitz, Jatin Kala, Ying‐Ping Wang	39
17	Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model 2015 ·Anna Ukkola, A. J. Pitman, Mark Decker, Martin G. De Kauwe, Gab Abramowitz, Jatin Kala, Ying‐Ping Wang	4
18	Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b) 2015 ·Geoscientific model development ·Jatin Kala, Martin G. De Kauwe, A. J. Pitman, Ruth Lorenz, Belinda E. Medlyn, Ying‐Ping Wang, Yan‐Shih Lin, Gab Abramowitz	30
19	Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100 2014 ·Geoscientific model development ·Jean‐François Exbrayat, A. J. Pitman, Gab Abramowitz	30
20	Examining soil carbon uncertainty in a global model: response of microbial decomposition to temperature, moisture and nutrient limitation 2013 ·Biogeosciences ·Jean‐François Exbrayat, A. J. Pitman, (unknown), Gab Abramowitz, Ying‐Ping Wang	68

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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