Akash Koppa

1.3k total citations · 1 hit paper
27 papers, 636 citations indexed

About

Akash Koppa is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Akash Koppa has authored 27 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 13 papers in Water Science and Technology. Recurrent topics in Akash Koppa's work include Climate variability and models (14 papers), Hydrology and Watershed Management Studies (13 papers) and Plant Water Relations and Carbon Dynamics (11 papers). Akash Koppa is often cited by papers focused on Climate variability and models (14 papers), Hydrology and Watershed Management Studies (13 papers) and Plant Water Relations and Carbon Dynamics (11 papers). Akash Koppa collaborates with scholars based in Belgium, United States and Switzerland. Akash Koppa's co-authors include Diego G. Miralles, Mekonnen Gebremichael, Petra Hulsman, Rafael Poyatos, Dominik Rains, Brianna R. Pagán, Mu Xiao, Shengan Zhan, Dennis P. Lettenmaier and William W‐G. Yeh and has published in prestigious journals such as Science, Nature Communications and Water Resources Research.

In The Last Decade

Akash Koppa

25 papers receiving 629 citations

Hit Papers

GLEAM4: global land evaporation and soil moisture dataset... 2025 2026 2025 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akash Koppa Belgium 14 445 284 173 119 71 27 636
Si Hong China 13 450 1.0× 261 0.9× 169 1.0× 129 1.1× 29 0.4× 20 620
Suli Pan China 14 331 0.7× 289 1.0× 130 0.8× 91 0.8× 82 1.2× 29 510
Thanh‐Nhan‐Duc Tran United States 16 477 1.1× 456 1.6× 240 1.4× 189 1.6× 39 0.5× 23 792
Majid Rahimzadegan Iran 13 330 0.7× 164 0.6× 128 0.7× 168 1.4× 69 1.0× 47 543
Harsh L. Shah India 14 671 1.5× 457 1.6× 204 1.2× 144 1.2× 49 0.7× 14 855
Aijing Zhang China 9 317 0.7× 391 1.4× 140 0.8× 144 1.2× 28 0.4× 9 540
Qian Cao United States 12 261 0.6× 193 0.7× 158 0.9× 69 0.6× 64 0.9× 19 468
Jianhui Wei Germany 22 734 1.6× 408 1.4× 449 2.6× 138 1.2× 65 0.9× 51 908
Yuna Mao China 12 322 0.7× 244 0.9× 123 0.7× 92 0.8× 61 0.9× 31 478
Wanshu Nie United States 11 245 0.6× 150 0.5× 86 0.5× 164 1.4× 82 1.2× 23 431

Countries citing papers authored by Akash Koppa

Since Specialization
Citations

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

Fields of papers citing papers by Akash Koppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akash Koppa

This figure shows the co-authorship network connecting the top 25 collaborators of Akash Koppa. A scholar is included among the top collaborators of Akash Koppa 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 Akash Koppa. Akash Koppa 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.
Miralles, Diego G., Akash Koppa, Oscar M. Baez‐Villanueva, et al.. (2025). GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present. Scientific Data. 12(1). 416–416. 39 indexed citations breakdown →
2.
Zhong, Feng, S. S. Jiang, Akash Koppa, et al.. (2024). Multi‐Decadal Dynamics of Global Rainfall Interception and Their Drivers. Geophysical Research Letters. 51(19). 4 indexed citations
3.
Dutta, Riya, et al.. (2024). East–West asymmetry in intensity, duration, frequency of heatwaves over Northern India. Environmental Research Letters. 19(12). 124089–124089.
4.
Xu, Shiqin, Dennis P. Lettenmaier, Tim R. McVicar, et al.. (2024). Increasing atmospheric evaporative demand across the Tibetan plateau and implications for surface water resources. iScience. 28(2). 111623–111623.
5.
Koppa, Akash, Jessica Keune, Dominik L. Schumacher, et al.. (2024). Dryland self-expansion enabled by land–atmosphere feedbacks. Science. 385(6712). 967–972. 27 indexed citations
6.
Hulsman, Petra, Jessica Keune, Akash Koppa, Jaap Schellekens, & Diego G. Miralles. (2023). Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates. Water Resources Research. 59(8). 8 indexed citations
7.
Koppa, Akash, Jessica Keune, David MacLeod, et al.. (2023). A Lagrangian Analysis of the Sources of Rainfall Over the Horn of Africa Drylands. Journal of Geophysical Research Atmospheres. 128(12). 4 indexed citations
8.
Hari, Vittal, Oldřich Rakovec, Wei Zhang, et al.. (2023). On the role of the Atlantic Meridional Mode in eastern European temperature variability. Atmospheric Research. 297. 107082–107082. 1 indexed citations
9.
Li, Hao, Liu Liu, Lei Wang, et al.. (2022). Significant regime shifts in historical water yield in the Upper Brahmaputra River basin. Hydrology and earth system sciences. 26(24). 6399–6412. 7 indexed citations
10.
Koppa, Akash, Dominik Rains, Petra Hulsman, Rafael Poyatos, & Diego G. Miralles. (2022). A deep learning-based hybrid model of global terrestrial evaporation. Nature Communications. 13(1). 1912–1912. 94 indexed citations
11.
Müller, Jean‐François, Trissevgeni Stavrakou, Diego G. Miralles, et al.. (2022). Impact of Drought on Isoprene Fluxes Assessed Using Field Data, Satellite-Based GLEAM Soil Moisture and HCHO Observations from OMI. Remote Sensing. 14(9). 2021–2021. 10 indexed citations
12.
Vicente‐Serrano, Sergio M., Diego G. Miralles, Nate G. McDowell, et al.. (2022). The uncertain role of rising atmospheric CO2 on global plant transpiration. Earth-Science Reviews. 230. 104055–104055. 54 indexed citations
13.
Miralles, Diego G., et al.. (2022). Ten Years of GLEAM: A Review of Scientific Advances and Applications. Studies in computational intelligence. 525–540. 4 indexed citations
14.
Hari, Vittal, et al.. (2021). Climate hazards are threatening vulnerable migrants in Indian megacities. Nature Climate Change. 11(8). 636–638. 22 indexed citations
15.
Koppa, Akash, et al.. (2021). A Scalable Earth Observations‐Based Decision Support System for Hydropower Planning in Africa. JAWRA Journal of the American Water Resources Association. 57(5). 711–736. 1 indexed citations
16.
Hari, Vittal, Amey Pathak, & Akash Koppa. (2020). Dual response of Arabian Sea cyclones and strength of Indian monsoon to Southern Atlantic Ocean. Climate Dynamics. 56(7-8). 2149–2161. 16 indexed citations
17.
Koppa, Akash & Mekonnen Gebremichael. (2020). Improving the Applicability of Hydrologic Models for Food–Energy–Water Nexus Studies Using Remote Sensing Data. Remote Sensing. 12(4). 599–599. 7 indexed citations
18.
Koppa, Akash, et al.. (2019). Spatially distributed model calibration of a highly managed hydrological system using remote sensing-derived ET data. Journal of Hydrology. 577. 123944–123944. 66 indexed citations
19.
Koppa, Akash, Mekonnen Gebremichael, & William W‐G. Yeh. (2019). Multivariate calibration of large scale hydrologic models: The necessity and value of a Pareto optimal approach. Advances in Water Resources. 130. 129–146. 24 indexed citations
20.
Wanders, Niko, Xiaogang He, Huilin Huang, et al.. (2016). Forecasting the Hydroclimatic Signature of the 2015/16 El Niño Event on the Western United States. Journal of Hydrometeorology. 18(1). 177–186. 28 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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