Arfan Arshad

2.0k total citations · 1 hit paper
68 papers, 1.4k citations indexed

About

Arfan Arshad is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Arfan Arshad has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Global and Planetary Change, 23 papers in Environmental Engineering and 18 papers in Water Science and Technology. Recurrent topics in Arfan Arshad's work include Climate variability and models (15 papers), Hydrology and Watershed Management Studies (14 papers) and Flood Risk Assessment and Management (13 papers). Arfan Arshad is often cited by papers focused on Climate variability and models (15 papers), Hydrology and Watershed Management Studies (14 papers) and Flood Risk Assessment and Management (13 papers). Arfan Arshad collaborates with scholars based in United States, China and Pakistan. Arfan Arshad's co-authors include Zhijie Zhang, Wanchang Zhang, Adil Dilawar, Ali Mirchi, Quoc Bao Pham, Muhammad Jehanzeb Masud Cheema, Shoaib Ali, Muhammad Shafeeque, Bashir Ahmad and Saddam Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Arfan Arshad

62 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS)

2023 74 citations Shoaib Ali, Behnam Khorrami et al. Remote Sensing profile →

Peers

Countries citing papers authored by Arfan Arshad

Since Specialization

Citations

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

Fields of papers citing papers by Arfan Arshad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arfan Arshad

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century 2025 ·Journal of Hydrology Regional Studies ·Arfan Arshad, Muhammad Shafeeque, Thanh‐Nhan Tran, Ali Mirchi, (unknown), (unknown), Amir AghaKouchak, (unknown), Md. Masudur Rahman	1
2	Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data 2025 ·Agricultural Water Management ·(unknown), Ali Mirchi, Arfan Arshad, (unknown), (unknown), Saleh Taghvaeian, (unknown), (unknown), (unknown), Kevin Wagner	3
3	SWAT and CMIP6-driven hydro-climate modeling of future flood risks and vegetation dynamics in the White Oak Bayou Watershed, United States 2025 ·Earth Systems and Environment ·Stephanie Marshall, Thanh‐Nhan‐Duc Tran, Arfan Arshad, Md Masudur Rahman, (unknown)	16
4	Review on sea water quality (SWQ) monitoring using satellite remote sensing techniques (SRST) 2025 ·Marine Pollution Bulletin ·Md Masudur Rahman, (unknown), (unknown), Arfan Arshad, (unknown), Asif Raihan, Md. Fatin Ishraque	1
5	Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin 2024 ·Water Resources Research ·Arfan Arshad, Ali Mirchi, Saleh Taghvaeian, Amir AghaKouchak	21
6	Integrated geophysical investigations of groundwater for sustainable management in Faisalabad region of Pakistan 2024 ·Environmental Earth Sciences ·(unknown), John McMaine, Arfan Arshad, (unknown), (unknown), (unknown), Muhammad Awais, Rabeea Noor	2
7	AI Strategy in Healthcare CHRM: Analyzing the Influence Organization Effective Performance Evidence from the Private Hospitals of Lahore Pakistan 2024 ·Journal of Health and Rehabilitation Research ·(unknown), Arfan Arshad, (unknown), Adeel Nasir	4
8	Exploring the Trends of Aerosol Optical Depth and Its Relationship with Climate Variables over Saudi Arabia 2024 ·Earth Systems and Environment ·Md Masudur Rahman, (unknown), (unknown), Arfan Arshad, (unknown), (unknown)	2
9	Multispectral Assessment of Net Radiations Using Comprehensive Multi-Satellite Data 2024 ·Water ·Muhammad Arshad, Sikandar Ali, (unknown), Arfan Arshad, Jinping Liu, Faisal Mumtaz, Muhammad Mohsin Waqas, Barjeece Bashir, (unknown)	0
10	Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin 2023 ·Theoretical and Applied Climatology ·Muhammad Shafeeque, Mohsin Hafeez, Abid Sarwar, Arfan Arshad, (unknown), (unknown), Shoaib Ali, Adil Dilawar	13
11	Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS) breakdown → 2023 ·Remote Sensing ·Shoaib Ali, Behnam Khorrami, Muhammad Jehanzaib, Aqil Tariq, Muhammad Ajmal, Arfan Arshad, Muhammad Shafeeque, Adil Dilawar, (unknown), Liang-Liang Zhang, (unknown), (unknown), Ahsan Jamil, Shahid Nawaz Khan	74
12	Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021 2023 ·Remote Sensing ·Md Masudur Rahman, Shuo Wang, Weixiong Zhao, Arfan Arshad, Weijun Zhang, Cenlin He	8
13	Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin 2023 ·Remote Sensing ·Rabeea Noor, Arfan Arshad, Muhammad Shafeeque, Jinping Liu, (unknown), Shoaib Ali, (unknown), Quoc Bao Pham, Adil Dilawar, (unknown), Duong Tran Anh, Ahmed Elbeltagi	17
14	Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin 2023 ·Journal of Hydrology ·Arfan Arshad, Ali Mirchi, Javier Vilcáez, (unknown), Kaveh Madani	22
15	Impacts of Green Fraction Changes on Surface Temperature and Carbon Emissions: Comparison under Forestation and Urbanization Reshaping Scenarios 2023 ·Remote Sensing ·Faisal Mumtaz, Jing Li, Qinhuo Liu, Aqil Tariq, Arfan Arshad, Yadong Dong, Jing Zhao, Barjeece Bashir, Hu Zhang, (unknown), Chang Liu	29
16	Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan 2023 ·Remote Sensing ·Adil Dilawar, Baozhang Chen, Zia ul Haq, (unknown), Arfan Arshad, Mujtaba Hassan, (unknown), Muhammad Shafeeque, (unknown), (unknown), Huifang Zhang	4
17	Integrated SWAT-MODFLOW Modeling-Based Groundwater Adaptation Policy Guidelines for Lahore, Pakistan under Projected Climate Change, and Human Development Scenarios 2022 ·Atmosphere ·Rana Ammar Aslam, Sangam Shrestha, Muhammad Usman, (unknown), Sikandar Ali, (unknown), (unknown), Naeem Saddique, Abid Sarwar, (unknown), Arfan Arshad	23
18	Towards Understanding Variability in Droughts in Response to Extreme Climate Conditions over the Different Agro-Ecological Zones of Pakistan 2021 ·Sustainability ·Adil Dilawar, Baozhang Chen, Arfan Arshad, Lifeng Guo, (unknown), Yawar Hussain, Alphonse Kayiranga, Simon Measho, Huifang Zhang, Fei Wang, Xiaohong Sun, (unknown)	15
19	Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century 2021 ·Geomatics Natural Hazards and Risk ·Faisal Mumtaz, Arfan Arshad, Ali Mirchi, Aqil Tariq, Adil Dilawar, Saddam Hussain, Shuaiyi Shi, Rabeea Noor, (unknown), André Daccache, Muhammad Amir Siddique, Barjeece Bashir, Lingling Li, Dakang Wang, Tao Yu	16
20	Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST) 2020 ·Remote Sensing ·Faisal Mumtaz, (unknown), Gerrit de Leeuw, Limin Zhao, Cheng Fan, Abdelrazek Elnashar, Barjeece Bashir, (unknown), Lingling Li, Shahid Naeem, Arfan Arshad, Dakang Wang	93

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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