Amulya Chevuturi

1.3k total citations
33 papers, 848 citations indexed

About

Amulya Chevuturi is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Amulya Chevuturi has authored 33 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 23 papers in Atmospheric Science and 10 papers in Water Science and Technology. Recurrent topics in Amulya Chevuturi's work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (20 papers) and Hydrology and Watershed Management Studies (10 papers). Amulya Chevuturi is often cited by papers focused on Climate variability and models (27 papers), Meteorological Phenomena and Simulations (20 papers) and Hydrology and Watershed Management Studies (10 papers). Amulya Chevuturi collaborates with scholars based in United Kingdom, India and Ireland. Amulya Chevuturi's co-authors include A. P. Dimri, Renoj J. Thayyen, Andrew G. Turner, Nicholas P. Klingaman, Dev Niyogi, Shivam Tripathi, Anand K. Pandey, U. C. Mohanty, Kamaljit Ray and Gill Martin and has published in prestigious journals such as Nature Communications, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Amulya Chevuturi

29 papers receiving 841 citations

Peers

Amulya Chevuturi

GPC

WST

OCEAN

MMPL

Chad W. Thackeray United States

Ziyi Cai China

Fangying Wu China

Shankar Sharma China

Xuefeng Guan China

Yamina Silva Peru

Lianmei Yang China

Ecmel Erlat Türkiye

Yuting Fan China

Chad W. Thackeray United States

Amulya Chevuturi

815 ×1.2

GPC

919 ×1.6

131 ×1.0

WST

63 ×0.7

OCEAN

29 ×0.4

MMPL

Citations per year, relative to Amulya Chevuturi Amulya Chevuturi (= 1×) peers Chad W. Thackeray

Countries citing papers authored by Amulya Chevuturi

Since Specialization

Citations

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

Fields of papers citing papers by Amulya Chevuturi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amulya Chevuturi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tanguy, Maliko, et al.. (2025). Optimising ensemble streamflow predictions with bias correction and data assimilation techniques. Hydrology and earth system sciences. 29(6). 1587–1614.

Tanguy, Maliko, et al.. (2025). Climate variability conceals emerging hydrological trends across Great Britain. Journal of Hydrology. 660. 133414–133414. 3 indexed citations

Hannaford, Jamie, Stephen Turner, Amulya Chevuturi, et al.. (2025). Have river flow droughts become more severe? A review of the evidence from the UK – a data-rich, temperate environment. Hydrology and earth system sciences. 29(18). 4371–4394.

Chevuturi, Amulya, Marilena Oltmanns, Maliko Tanguy, et al.. (2025). Oceanic drivers of UK summer droughts. Communications Earth & Environment. 6(1). 437–437.

Hannaford, Jamie, Stephen Turner, Amulya Chevuturi, et al.. (2024). Have river flow droughts become more severe? A review of the evidence from the UK – a data-rich temperate environment. NERC Open Research Archive (Natural Environment Research Council). 1 indexed citations

Tanguy, Maliko, Amulya Chevuturi, B. P. Marchant, et al.. (2023). How will climate change affect the spatial coherence of streamflow and groundwater droughts in Great Britain?. Environmental Research Letters. 18(6). 64048–64048. 10 indexed citations

Chevuturi, Amulya, Nicholas P. Klingaman, Steven J. Woolnough, et al.. (2023). Forecasting annual maximum water level for the Negro River at Manaus using dynamical seasonal predictions. Climate Services. 30. 100342–100342. 3 indexed citations

Shonk, Jonathan K. P., et al.. (2023). The Indian Easterly Jet During the Pre‐Monsoon Season in India. Geophysical Research Letters. 50(23).

Chevuturi, Amulya, Maliko Tanguy, Alberto Martínez-de la Torre, et al.. (2023). Improving global hydrological simulations through bias-correction and multi-model blending. Journal of Hydrology. 621. 129607–129607. 13 indexed citations

10.

Coelho, Caio A. S., Jessica C. A. Baker, Dominick V. Spracklen, et al.. (2022). A perspective for advancing climate prediction services in Brazil. CentAUR (University of Reading). 1(1). 3 indexed citations

11.

Coelho, Caio A. S., Paulo Y. Kubota, Iracema F. A. Cavalcanti, et al.. (2021). Assessing the representation of South American monsoon features in Brazil and U.K. climate model simulations. CentAUR (University of Reading). 1(1). 18 indexed citations

12.

Chevuturi, Amulya, Andrew G. Turner, Stephanie J. Johnson, et al.. (2021). Forecast skill of the Indian monsoon and its onset in the ECMWF seasonal forecasting system 5 (SEAS5). Climate Dynamics. 56(9-10). 2941–2957. 25 indexed citations

13.

Chevuturi, Amulya, Nicholas P. Klingaman, Conrado M. Rudorff, Caio A. S. Coelho, & Jochen Schöngart. (2021). Forecasting annual maximum water level for the Negro River at Manaus. CentAUR (University of Reading). 1(1). 10 indexed citations

14.

Cui, Jiangpeng, Shilong Piao, Chris Huntingford, et al.. (2020). Vegetation forcing modulates global land monsoon and water resources in a CO2-enriched climate. Nature Communications. 11(1). 5184–5184. 55 indexed citations

15.

Guo, Liang, Ruud van der Ent, Nicholas P. Klingaman, et al.. (2020). Effects of horizontal resolution and air–sea coupling on simulated moisture source for East Asian precipitation in MetUM GA6/GC2. Geoscientific model development. 13(12). 6011–6028. 10 indexed citations

16.

Monerie, Paul‐Arthur, Amulya Chevuturi, Peter Cook, Nicholas P. Klingaman, & Christopher E. Holloway. (2020). Role of atmospheric horizontal resolution in simulating tropical and subtropical South American precipitation in HadGEM3-GC31. Geoscientific model development. 13(10). 4749–4771. 12 indexed citations

17.

Shonk, Jonathan K. P., Andrew G. Turner, Amulya Chevuturi, et al.. (2020). Uncertainty in aerosol radiative forcing impacts the simulated global monsoon in the 20th century. Atmospheric chemistry and physics. 20(23). 14903–14915. 10 indexed citations

18.

Klingaman, Nicholas P., Matthew Young, Amulya Chevuturi, et al.. (2020). Subseasonal Prediction Performance for Austral Summer South American Rainfall. Weather and Forecasting. 36(1). 147–169. 16 indexed citations

19.

Chevuturi, Amulya, A. P. Dimri, & Renoj J. Thayyen. (2016). Climate change over Leh (Ladakh), India. Theoretical and Applied Climatology. 131(1-2). 531–545. 79 indexed citations

20.

Chevuturi, Amulya, et al.. (2014). Numerical simulation of a rare winter hailstorm event over Delhi, India on 17 January 2013. Natural hazards and earth system sciences. 14(12). 3331–3344. 12 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.

Explore authors with similar magnitude of impact