Shervan Gharari

3.1k total citations
35 papers, 1.2k citations indexed

About

Shervan Gharari is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Shervan Gharari has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Water Science and Technology, 21 papers in Global and Planetary Change and 17 papers in Environmental Engineering. Recurrent topics in Shervan Gharari's work include Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (17 papers) and Hydrological Forecasting Using AI (11 papers). Shervan Gharari is often cited by papers focused on Hydrology and Watershed Management Studies (31 papers), Flood Risk Assessment and Management (17 papers) and Hydrological Forecasting Using AI (11 papers). Shervan Gharari collaborates with scholars based in Canada, Netherlands and United States. Shervan Gharari's co-authors include H. H. G. Savenije, Markus Hrachowitz, Fabrizio Fenicia, Hongkai Gao, Martyn Clark, Jim Freer, Naoki Mizukami, Simon Michael Papalexiou, Wouter Knoben and Tanja Euser and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Shervan Gharari

35 papers receiving 1.2k citations

Peers

Shervan Gharari
Jean‐Michel Perraud Australia
R. Steve Regan United States
Tim Peterson Australia
Douglas P. Boyle United States
О. Н. Насонова Russia
Fekadu Moreda United States
Ilias Pechlivanidis Sweden
Bibi S. Naz United States
Guillaume Thirel France
Hartmut Wittenberg Germany
Jean‐Michel Perraud Australia
Shervan Gharari
Citations per year, relative to Shervan Gharari Shervan Gharari (= 1×) peers Jean‐Michel Perraud

Countries citing papers authored by Shervan Gharari

Since Specialization
Citations

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

Fields of papers citing papers by Shervan Gharari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shervan Gharari

This figure shows the co-authorship network connecting the top 25 collaborators of Shervan Gharari. A scholar is included among the top collaborators of Shervan Gharari 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 Shervan Gharari. Shervan Gharari 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.
Tang, Guoqiang, Martyn Clark, Wouter Knoben, et al.. (2024). Uncertainty Hotspots in Global Hydrologic Modeling: The Impact of Precipitation and Temperature Forcings. Bulletin of the American Meteorological Society. 106(1). E146–E166. 3 indexed citations
2.
Tang, Guoqiang, Martyn Clark, Wouter Knoben, et al.. (2023). The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins. Water Resources Research. 59(6). 27 indexed citations
3.
Gharari, Shervan, et al.. (2023). EASYMORE: A Python package to streamline the remapping of variables for Earth System models. SoftwareX. 24. 101547–101547. 2 indexed citations
4.
Vanderkelen, Inne, Shervan Gharari, Naoki Mizukami, et al.. (2022). Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling. Geoscientific model development. 15(10). 4163–4192. 18 indexed citations
5.
6.
Shafiei, Mojtaba, et al.. (2022). Sustainability assessment of water management at river basin level: Concept, methodology and application. Journal of Environmental Management. 316. 115201–115201. 16 indexed citations
7.
Clark, Martyn, Richard M. Vogel, Jonathan Lamontagne, et al.. (2021). The Abuse of Popular Performance Metrics in Hydrologic Modeling. Water Resources Research. 57(9). 149 indexed citations
8.
Daneshi, Alireza, et al.. (2021). Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran. Sustainable Cities and Society. 74. 103228–103228. 30 indexed citations
9.
Gharari, Shervan, Hoshin V. Gupta, Martyn Clark, et al.. (2021). Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data. Water Resources Research. 57(6). 29 indexed citations
10.
11.
Gharari, Shervan, Martyn Clark, Naoki Mizukami, et al.. (2020). Flexible vector-based spatial configurations in land models. Hydrology and earth system sciences. 24(12). 5953–5971. 19 indexed citations
12.
Gao, Hongkai, Markus Hrachowitz, Fabrizio Fenicia, Shervan Gharari, & H. H. G. Savenije. (2014). Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China. Hydrology and earth system sciences. 18(5). 1895–1915. 117 indexed citations
13.
Gharari, Shervan, Markus Hrachowitz, Fabrizio Fenicia, Hongkai Gao, & H. H. G. Savenije. (2014). Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration. Hydrology and earth system sciences. 18(12). 4839–4859. 120 indexed citations
14.
Gharari, Shervan, Mojtaba Shafiei, Markus Hrachowitz, et al.. (2014). A constraint-based search algorithm for parameter identification of environmental models. Hydrology and earth system sciences. 18(12). 4861–4870. 24 indexed citations
15.
Gharari, Shervan, Markus Hrachowitz, Fabrizio Fenicia, et al.. (2013). Incorporating expert knowledge in calibrating a complex hydrological conceptual model: A FLEX-TOPO case study for a central European meso-scale catchment. EGUGA. 2 indexed citations
16.
Gharari, Shervan, Markus Hrachowitz, Fabrizio Fenicia, & H. H. G. Savenije. (2013). An approach to identify time consistent model parameters: sub-period calibration. Hydrology and earth system sciences. 17(1). 149–161. 106 indexed citations
17.
Gharari, Shervan, Mojtaba Shafiei, Markus Hrachowitz, et al.. (2013). A strategy for "constraint-based" parameter specification for environmental models. Research Repository (Delft University of Technology). 3 indexed citations
18.
Gharari, Shervan, Markus Hrachowitz, Fabrizio Fenicia, & H. H. G. Savenije. (2011). Hydrological Land Classification Based on Landscape Units. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
19.
Gharari, Shervan, Fabrizio Fenicia, Markus Hrachowitz, & H. H. G. Savenije. (2011). Land classification based on hydrological landscape units. Research Repository (Delft University of Technology). 2 indexed citations
20.
Gharari, Shervan, Markus Hrachowitz, Fabrizio Fenicia, & H. H. G. Savenije. (2011). Hydrological landscape classification: investigating the performance of HAND based landscape classifications in a central European meso-scale catchment. Hydrology and earth system sciences. 15(11). 3275–3291. 124 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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