Ahsan Jamil

535 total citations · 2 hit papers
19 papers, 297 citations indexed

About

Ahsan Jamil is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Ahsan Jamil has authored 19 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 6 papers in Environmental Engineering and 4 papers in Atmospheric Science. Recurrent topics in Ahsan Jamil's work include Flood Risk Assessment and Management (4 papers), Remote Sensing and Land Use (3 papers) and Groundwater and Watershed Analysis (3 papers). Ahsan Jamil is often cited by papers focused on Flood Risk Assessment and Management (4 papers), Remote Sensing and Land Use (3 papers) and Groundwater and Watershed Analysis (3 papers). Ahsan Jamil collaborates with scholars based in United States, China and Pakistan. Ahsan Jamil's co-authors include Aqil Tariq, Walid Soufan, Behnam Khorrami, Shoaib Ali, Ayman El Sabagh, Qingting Li, Bushra Ghaffar, Muhammad Jehanzaib, Liang-Liang Zhang and Arfan Arshad and has published in prestigious journals such as Scientific Reports, Sustainability and Remote Sensing.

In The Last Decade

Ahsan Jamil

18 papers receiving 288 citations

Hit Papers

Spatial Downscaling of GRACE Data Based on XGBoost Model ... 2023 2026 2024 2025 2023 2025 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahsan Jamil United States 9 98 94 71 50 46 19 297
Yuji Sakuno Japan 9 96 1.0× 61 0.6× 107 1.5× 120 2.4× 82 1.8× 52 345
Liao Yang China 9 73 0.7× 191 2.0× 105 1.5× 30 0.6× 107 2.3× 21 397
Zhenlong Nie China 10 183 1.9× 81 0.9× 140 2.0× 23 0.5× 36 0.8× 31 411
Rana Ali Nawaz Canada 7 51 0.5× 115 1.2× 25 0.4× 48 1.0× 95 2.1× 14 290
Bamory Kamagaté Ivory Coast 9 82 0.8× 102 1.1× 125 1.8× 18 0.4× 28 0.6× 44 263
Wanshu Nie United States 11 164 1.7× 245 2.6× 150 2.1× 82 1.6× 32 0.7× 23 431
Michael Blaschek Germany 12 104 1.1× 74 0.8× 49 0.7× 40 0.8× 48 1.0× 19 383
Zhigang Sun China 12 107 1.1× 165 1.8× 161 2.3× 30 0.6× 57 1.2× 23 435
Zachary C. Williams United States 5 94 1.0× 110 1.2× 103 1.5× 19 0.4× 48 1.0× 6 338
Junyu Zou China 8 53 0.5× 141 1.5× 64 0.9× 24 0.5× 132 2.9× 20 340

Countries citing papers authored by Ahsan Jamil

Since Specialization
Citations

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

Fields of papers citing papers by Ahsan Jamil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahsan Jamil

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

All Works

19 of 19 papers shown
1.
Yan, Huyong, et al.. (2025). Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal Areas Using GIS and Multicriteria Decision Making: A DeepLabV3+ Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 15222–15235.
2.
Duan, Xiaoqian, Muhammad Haseeb, Zainab Tahir, et al.. (2025). A geospatial and statistical analysis of land surface temperature in response to land use land cover changes and urban heat island dynamics. Scientific Reports. 15(1). 4943–4943. 16 indexed citations breakdown →
3.
Duan, Xiaoqian, Linlin Lu, Rana Waqar Aslam, et al.. (2025). Enhanced Land-Surface Temperature Recovery Through Multisensor Data Fusion and Spatial Resolution Improvement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7950–7966. 8 indexed citations
4.
Jamil, Ahsan, Dale F. Rucker, Dan Lu, et al.. (2024). Comparison of machine learning and electrical resistivity arrays to inverse modeling for locating and characterizing subsurface targets. Journal of Applied Geophysics. 229. 105493–105493. 4 indexed citations
5.
Jamil, Ahsan, et al.. (2024). Multisensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment With Rainfall Consideration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3556–3568. 1 indexed citations
6.
Tariq, Aqil, Ahsan Jamil, Rana Waqar Aslam, et al.. (2024). Advanced machine vision techniques for groundwater level prediction modeling geospatial and statistical research. Advances in Space Research. 75(3). 2652–2668. 19 indexed citations
7.
He, Mingyue, et al.. (2024). Remote Sensing-Based Assessments of Socioeconomic Factors for Urban Ecological Resilience in the Semi-Arid Region. Rangeland Ecology & Management. 96. 12–22. 3 indexed citations
8.
Ali, Shoaib, Behnam Khorrami, Muhammad Jehanzaib, et al.. (2023). Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS). Remote Sensing. 15(4). 873–873. 74 indexed citations breakdown →
9.
Tariq, Aqil, Qingting Li, Bushra Ghaffar, et al.. (2023). Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone. International Journal of Digital Earth. 16(1). 3105–3124. 33 indexed citations
10.
Sarwar, Abid, Fakhrul Islam, Abdul Hafiz Ab Majid, et al.. (2023). Rainwater harvesting for agriculture development using multi-influence factor and fuzzy overlay techniques. Environmental Research. 238(Pt 2). 117189–117189. 23 indexed citations
11.
Khalil, Umer, Bilal Aslam, Bushra Ghaffar, et al.. (2023). Evaluation of soil texture classification from orthodox interpolation and machine learning techniques. Environmental Research. 246. 118075–118075. 19 indexed citations
13.
Tariq, Aqil, Linlin Lu, Ahsan Jamil, et al.. (2023). Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scars. Geomatics Natural Hazards and Risk. 14(1). 20 indexed citations
15.
Tariq, Aqil, Shoaib Ali, Ahsan Jamil, et al.. (2023). Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data. Groundwater for Sustainable Development. 23. 100990–100990. 35 indexed citations
16.
Majeed, Muhammad, Aqil Tariq, Shiekh Marifatul Haq, et al.. (2022). A Detailed Ecological Exploration of the Distribution Patterns of Wild Poaceae from the Jhelum District (Punjab), Pakistan. Sustainability. 14(7). 3786–3786. 27 indexed citations
17.
Jamil, Ahsan, Mostafa Nikzad, Dong Ruan, & Syed H. Masood. (2021). Failure analysis of 3-D woven and 3-D knitted structures. Materials Today Proceedings. 46. 4672–4678. 1 indexed citations
18.
Hermes‐DeSantis, Evelyn R., Bindi Patel, Chang Woo Han, et al.. (2020). Proposed Best Practice Guidelines for Scientific Response Documents: A Consensus Statement from phactMI. Therapeutic Innovation & Regulatory Science. 54(6). 1303–1311. 1 indexed citations
19.
Rahman, Md. Masudur, et al.. (2012). ANTIDIARRHEAL ACTIVITY OF LEAVES EXTRACT OF MICROCOS PANICULATA LINN IN MICE. International Journal of Pharmacy. 2(1). 21–25. 7 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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