Azhar Inam

1.9k total citations
25 papers, 549 citations indexed

About

Azhar Inam is a scholar working on Ocean Engineering, Water Science and Technology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Azhar Inam has authored 25 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ocean Engineering, 11 papers in Water Science and Technology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Azhar Inam's work include Water resources management and optimization (12 papers), Climate change impacts on agriculture (9 papers) and Hydrology and Watershed Management Studies (7 papers). Azhar Inam is often cited by papers focused on Water resources management and optimization (12 papers), Climate change impacts on agriculture (9 papers) and Hydrology and Watershed Management Studies (7 papers). Azhar Inam collaborates with scholars based in Canada, Pakistan and Italy. Azhar Inam's co-authors include Jan Adamowski, Shiv O. Prasher, Johannes Halbe, Raffaele Albano, Mohammad Reza Alizadeh, Julien Malard, Aurelia Sole, Asghar Asghari Moghaddam, Rahim Barzegar and Hugo Melgar‐Quiñonez and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

Azhar Inam

23 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azhar Inam Canada 12 227 189 135 102 81 25 549
Daniela D’Agostino Italy 14 210 0.9× 186 1.0× 142 1.1× 81 0.8× 30 0.4× 32 562
Hamza Farooq Gabriel Pakistan 19 341 1.5× 284 1.5× 85 0.6× 174 1.7× 57 0.7× 53 974
Ahmad Abrishamchi Iran 12 250 1.1× 432 2.3× 287 2.1× 184 1.8× 43 0.5× 35 798
Åse Johannessen Sweden 9 384 1.7× 186 1.0× 104 0.8× 73 0.7× 39 0.5× 16 652
Lyubov A. Kurkalova United States 16 227 1.0× 259 1.4× 124 0.9× 119 1.2× 31 0.4× 55 868
Kyung Soo Jun South Korea 11 367 1.6× 285 1.5× 126 0.9× 115 1.1× 41 0.5× 51 668
Jim Yoon United States 11 193 0.9× 195 1.0× 163 1.2× 69 0.7× 26 0.3× 23 459
Amir Sadoddin Iran 14 233 1.0× 315 1.7× 122 0.9× 132 1.3× 23 0.3× 57 618
Ivan Portoghese Italy 14 177 0.8× 295 1.6× 189 1.4× 158 1.5× 25 0.3× 37 568
T. Thomas India 16 603 2.7× 389 2.1× 96 0.7× 257 2.5× 156 1.9× 50 937

Countries citing papers authored by Azhar Inam

Since Specialization
Citations

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

Fields of papers citing papers by Azhar Inam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azhar Inam

This figure shows the co-authorship network connecting the top 25 collaborators of Azhar Inam. A scholar is included among the top collaborators of Azhar Inam 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 Azhar Inam. Azhar Inam 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.
Saleem, Muhammad, Muhammad Shoaib, Hafiz Umar Farid, et al.. (2025). Machine learning-based streamflow projections in the upper indus basin under CMIP6 climate scenarios. Physics and Chemistry of the Earth Parts A/B/C. 140. 104035–104035. 1 indexed citations
2.
Waleed, Muhammad, Azhar Inam, Raffaele Albano, et al.. (2025). Statistical Model Development for Estimating Soil Hydraulic Conductivity Through On-Site Investigations. Hydrology. 12(3). 55–55.
3.
Alizadeh, Mohammad Reza, et al.. (2023). Development of a behaviour pattern-based testing approach for coupled socioeconomic and environmental models. Journal of Environmental Management. 347. 119088–119088.
4.
Alizadeh, Mohammad Reza, Jan Adamowski, & Azhar Inam. (2022). Integrated assessment of localized SSP–RCP narratives for climate change adaptation in coupled human-water systems. The Science of The Total Environment. 823. 153660–153660. 40 indexed citations
5.
Ahmad, Shakil, Zakir Hussain Dahri, Muhammad Azmat, et al.. (2022). Hydroclimatology of the Chitral River in the Indus Basin under Changing Climate. Atmosphere. 13(2). 295–295. 25 indexed citations
6.
Noor, Rabeea, et al.. (2022). A methodological framework for modeling sustainability visions: A case study of groundwater management in Faizpur distributary, Pakistan. Agricultural Water Management. 271. 107822–107822. 4 indexed citations
7.
Alizadeh, Mohammad Reza, et al.. (2022). Climate variability in agroecosystems: A quantitative assessment of stakeholder-defined policies for enhanced socio-ecological resilience. Agricultural Systems. 201. 103416–103416. 3 indexed citations
8.
Inam, Azhar, et al.. (2022). Development of methods for the simplification of complex group built causal loop diagrams: A case study of the Rechna doab. Ecological Modelling. 476. 110192–110192. 6 indexed citations
9.
Alizadeh, Mohammad Reza, et al.. (2021). Quantifying the transient shock response of dynamic agroecosystem variables for improved socio-environmental resilience. Ecology and Society. 26(2). 9 indexed citations
10.
Adamowski, Jan, et al.. (2020). Development of a behaviour-pattern based global sensitivity analysis procedure for coupled socioeconomic and environmental models. Journal of Hydrology. 585. 124745–124745. 10 indexed citations
11.
Adamowski, Jan, et al.. (2019). Development of a sensitivity analysis procedure for coupled socioeconomic and environmental models. EGU General Assembly Conference Abstracts. 1366. 1 indexed citations
12.
Barzegar, Rahim, et al.. (2019). Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones. Ground Water. 58(3). 441–452. 33 indexed citations
13.
Inam, Azhar, et al.. (2019). A participatory system dynamics modeling approach to facilitate collaborative flood risk management: A case study in the Bradano River (Italy). Journal of Hydrology. 580. 124354–124354. 57 indexed citations
14.
Barzegar, Rahim, et al.. (2019). Natural and anthropogenic origins of selected trace elements in the surface waters of Tabriz area, Iran. Environmental Earth Sciences. 78(8). 28 indexed citations
15.
Malard, Julien, et al.. (2018). Large-scale coupled system dynamics modelling and resilience to climate change in Guatemala's drought-prone areas. EGU General Assembly Conference Abstracts. 10168. 1 indexed citations
16.
Malard, Julien, et al.. (2018). Coupled crop-system dynamics modelling for climate resiliency of agriculture in Guatemala. EGUGA. 10213. 1 indexed citations
17.
Albano, Raffaele, et al.. (2018). Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy. International Journal of Applied Earth Observation and Geoinformation. 73. 220–229. 24 indexed citations
18.
Inam, Azhar, Jan Adamowski, Shiv O. Prasher, & Raffaele Albano. (2017). Parameter estimation and uncertainty analysis of the Spatial Agro Hydro Salinity Model (SAHYSMOD) in the semi-arid climate of Rechna Doab, Pakistan. Environmental Modelling & Software. 94. 186–211. 24 indexed citations
19.
Malard, Julien, et al.. (2017). Development of a software tool for rapid, reproducible, and stakeholder-friendly dynamic coupling of system dynamics and physically-based models. Environmental Modelling & Software. 96. 410–420. 28 indexed citations
20.
Inam, Azhar, Jan Adamowski, Johannes Halbe, & Shiv O. Prasher. (2015). Using causal loop diagrams for the initialization of stakeholder engagement in soil salinity management in agricultural watersheds in developing countries: A case study in the Rechna Doab watershed, Pakistan. Journal of Environmental Management. 152. 251–267. 156 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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