Ali Ameli

1.2k total citations
35 papers, 857 citations indexed

About

Ali Ameli is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ali Ameli has authored 35 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Water Science and Technology, 15 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Ali Ameli's work include Hydrology and Watershed Management Studies (19 papers), Groundwater flow and contamination studies (13 papers) and Flood Risk Assessment and Management (9 papers). Ali Ameli is often cited by papers focused on Hydrology and Watershed Management Studies (19 papers), Groundwater flow and contamination studies (13 papers) and Flood Risk Assessment and Management (9 papers). Ali Ameli collaborates with scholars based in Canada, Sweden and United Kingdom. Ali Ameli's co-authors include Irena F. Creed, Jeffrey J. McDonnell, Kevin Bishop, James R. Craig, Keith Beven, Martin Erlandsson, Uwe Morgenstern, Grey R. Evenson, Brian P. Neff and Daniel L. McLaughlin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Ali Ameli

35 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ameli Canada 16 532 314 307 209 118 35 857
Michael Rinderer Germany 16 620 1.2× 358 1.1× 290 0.9× 142 0.7× 178 1.5× 28 862
Daniel Partington Australia 17 661 1.2× 324 1.0× 440 1.4× 138 0.7× 141 1.2× 32 832
Péter Kalicz Hungary 10 421 0.8× 360 1.1× 245 0.8× 124 0.6× 61 0.5× 49 676
Mark Ross United States 13 609 1.1× 368 1.2× 425 1.4× 109 0.5× 113 1.0× 52 824
Dominique Thiéry France 17 412 0.8× 253 0.8× 399 1.3× 99 0.5× 75 0.6× 44 807
Hartmut Wittenberg Germany 13 867 1.6× 590 1.9× 522 1.7× 113 0.5× 86 0.7× 19 1.0k
Hans Kupfersberger Austria 12 358 0.7× 211 0.7× 332 1.1× 102 0.5× 254 2.2× 23 824
Philippe Mérot France 17 473 0.9× 263 0.8× 251 0.8× 130 0.6× 124 1.1× 28 772
Danielle K. Hare United States 11 504 0.9× 150 0.5× 396 1.3× 264 1.3× 166 1.4× 16 857
Andrew Binns Canada 16 316 0.6× 264 0.8× 222 0.7× 168 0.8× 28 0.2× 55 683

Countries citing papers authored by Ali Ameli

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ameli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ameli

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ameli. A scholar is included among the top collaborators of Ali Ameli 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 Ali Ameli. Ali Ameli 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.
2.
Ameli, Ali, et al.. (2025). Tackling water table depth modeling via machine learning: From proxy observations to verifiability. Advances in Water Resources. 201. 104955–104955. 3 indexed citations
3.
Ameli, Ali, et al.. (2025). Evaluating the Functional Realism of Deep Learning Rainfall‐Runoff Models Using Catchment Hydrology Principles. Water Resources Research. 62(1). 2 indexed citations
4.
Cao, Jiguo, et al.. (2025). A Gaussian sliding windows regression model for hydrological inference. Journal of the Royal Statistical Society Series C (Applied Statistics). 74(4). 946–968. 3 indexed citations
5.
Ameli, Ali, et al.. (2025). Searching for Functional Simplicity of Stormflow Generation. Water Resources Research. 61(3). 3 indexed citations
6.
Bishop, Kevin, Ali Ameli, Thomas Grabs, et al.. (2024). Identifying Subsurface Connectivity From Observations: Experimentation With Equifinality Defines Both Challenges and Pathways to Progress. Hydrological Processes. 38(11). 2 indexed citations
7.
Ameli, Ali, et al.. (2024). Assessing the reproducibility of machine-learning-based biomarker discovery in Parkinson’s disease. Computers in Biology and Medicine. 174. 108407–108407. 5 indexed citations
8.
Hammond, John C., et al.. (2023). The persistence of snow on the ground affects the shape of streamflow hydrographs over space and time: a continental-scale analysis. Frontiers in Environmental Science. 11. 3 indexed citations
9.
Ameli, Ali, et al.. (2023). Upland Hillslope Groundwater Subsidy Affects Low‐Flow Storage–Discharge Relationship. Water Resources Research. 59(10). 7 indexed citations
10.
Ameli, Ali, et al.. (2022). A statistical approach for identifying factors governing streamflow recession behaviour. Hydrological Processes. 36(10). 15 indexed citations
11.
Ameli, Ali, Hjalmar Laudon, Claudia Teutschbein, & Kevin Bishop. (2021). Where and When to Collect Tracer Data to Diagnose Hillslope Permeability Architecture. Water Resources Research. 57(8). 8 indexed citations
12.
Ameli, Ali, et al.. (2021). A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions. Water Resources Research. 57(9). 22 indexed citations
13.
Radić, Valentina, et al.. (2021). Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America. Frontiers in Earth Science. 9. 13 indexed citations
14.
Sverdrup, Harald, et al.. (2020). Catchment export of base cations: improved mineral dissolution kinetics influence the role of water transit time. SOIL. 6(1). 231–244. 12 indexed citations
15.
Ameli, Ali & Irena F. Creed. (2019). Does Wetland Location Matter When Managing Wetlands for Watershed‐Scale Flood and Drought Resilience?. JAWRA Journal of the American Water Resources Association. 55(3). 529–542. 49 indexed citations
16.
Ameli, Ali & Irena F. Creed. (2018). Groundwaters at Risk: Wetland Loss Changes Sources, Lengthens Pathways, and Decelerates Rejuvenation of Groundwater Resources. JAWRA Journal of the American Water Resources Association. 55(2). 294–306. 21 indexed citations
17.
Ameli, Ali, et al.. (2018). Groundwater Subsidy From Headwaters to Their Parent Water Watershed: A Combined Field‐Modeling Approach. Water Resources Research. 54(7). 5110–5125. 42 indexed citations
18.
Ameli, Ali & Irena F. Creed. (2017). Quantifying hydrologic connectivity of wetlands to surface water systems. Hydrology and earth system sciences. 21(3). 1791–1808. 96 indexed citations
19.
Ameli, Ali, Keith Beven, Martin Erlandsson, et al.. (2016). Primary weathering rates, water transit times, and concentration‐discharge relations: A theoretical analysis for the critical zone. Water Resources Research. 53(1). 942–960. 86 indexed citations
20.
Ameli, Ali, Thomas Grabs, Hjalmar Laudon, et al.. (2016). Hillslope permeability architecture controls on subsurface transit time distribution and flow paths. Journal of Hydrology. 543. 17–30. 54 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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