Jamal Zaherpour

912 total citations
9 papers, 579 citations indexed

About

Jamal Zaherpour is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jamal Zaherpour has authored 9 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 6 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Jamal Zaherpour's work include Hydrology and Watershed Management Studies (7 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Drought Analysis (3 papers). Jamal Zaherpour is often cited by papers focused on Hydrology and Watershed Management Studies (7 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Drought Analysis (3 papers). Jamal Zaherpour collaborates with scholars based in United Kingdom, Germany and China. Jamal Zaherpour's co-authors include Simon N. Gosling, Yoshihide Wada, Hannes Müller Schmied, Ted Veldkamp, Dieter Gerten, Yoshimitsu Masaki, Yadu Pokhrel, Yusuke Satoh, Xingcai Liu and Nick J. Mount and has published in prestigious journals such as SHILAP Revista de lepidopterología, Climatic Change and Environmental Research Letters.

In The Last Decade

Jamal Zaherpour

8 papers receiving 573 citations

Peers

Jamal Zaherpour

GPC

WST

AS

EE

OE

Anastasia Lobanova Germany

Ryan S. Padrón Switzerland

Zhuguo Ma China

Rodrigo Valdés‐Pineda United States

Yanfeng Wu China

Hyunwoo Kang United States

Isabel L. Pilotto Brazil

Somayeh Sima Iran

W. van Deursen Netherlands

Jianyu Fu China

Anastasia Lobanova Germany

Jamal Zaherpour

308 ×0.8

GPC

344 ×0.9

WST

81 ×0.8

AS

61 ×0.7

EE

66 ×1.3

OE

Citations per year, relative to Jamal Zaherpour Jamal Zaherpour (= 1×) peers Anastasia Lobanova

Countries citing papers authored by Jamal Zaherpour

Since Specialization

Citations

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

Fields of papers citing papers by Jamal Zaherpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamal Zaherpour

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

All Works

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9 of 9 papers shown

1.

Gosling, Simon N., Matthew F. Johnson, Matthew D. Jones, et al.. (2022). Multi-model evaluation of catchment- and global-scale hydrological model simulations of drought characteristics across eight large river catchments. Advances in Water Resources. 165. 104212–104212. 16 indexed citations

2.

Thompson, Julian R., Simon N. Gosling, Jamal Zaherpour, & Cédric Laizé. (2021). Increasing Risk of Ecological Change to Major Rivers of the World With Global Warming. Earth s Future. 9(11). 36 indexed citations

3.

Krysanova, Valentina, Jamal Zaherpour, Iulii Didovets, et al.. (2020). How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change. Climatic Change. 163(3). 1353–1377. 38 indexed citations

4.

Gosling, Simon N., et al.. (2019). Economic implications of future heat stress on labour productivity.. 2 indexed citations

5.

Zaherpour, Jamal, Nick J. Mount, Simon N. Gosling, et al.. (2019). Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models. Environmental Modelling & Software. 114. 112–128. 47 indexed citations

6.

Zaherpour, Jamal, Simon N. Gosling, Nick J. Mount, et al.. (2018). Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts. Environmental Research Letters. 13(6). 65015–65015. 107 indexed citations

7.

Veldkamp, Ted, Fang Zhao, Philip J. Ward, et al.. (2018). Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study. Environmental Research Letters. 13(5). 55008–55008. 208 indexed citations

8.

Gosling, Simon N., Jamal Zaherpour, Nick J. Mount, et al.. (2016). A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1 °C, 2 °C and 3 °C. Climatic Change. 141(3). 577–595. 124 indexed citations

9.

Nasseri, Mohsen, et al.. (2013). RECOGNITION AND SPATIAL MAPPING OF MULTIVARIATE GROUNDWATER QUALITY INDEX USING COMBINED FUZZY METHOD. SHILAP Revista de lepidopterología. 24(185). 82–93. 1 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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