Umer Khalil

700 total citations
29 papers, 502 citations indexed

About

Umer Khalil is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, Umer Khalil has authored 29 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 9 papers in Management, Monitoring, Policy and Law and 9 papers in Environmental Engineering. Recurrent topics in Umer Khalil's work include Landslides and related hazards (8 papers), Seismology and Earthquake Studies (6 papers) and Flood Risk Assessment and Management (6 papers). Umer Khalil is often cited by papers focused on Landslides and related hazards (8 papers), Seismology and Earthquake Studies (6 papers) and Flood Risk Assessment and Management (6 papers). Umer Khalil collaborates with scholars based in Pakistan, Netherlands and United States. Umer Khalil's co-authors include Bilal Aslam, Adeel Zafar, Ahsen Maqsoom, Aqil Tariq, Rana Faisal Tufail, Omid Ghorbanzadeh, Danish Farooq, Thomas Blaschke, Zaheer Abbas Kazmi and Ahsan Nawaz and has published in prestigious journals such as Sensors, Sustainability and Environmental Science and Pollution Research.

In The Last Decade

Umer Khalil

28 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Umer Khalil Pakistan 14 217 178 151 77 68 29 502
Jinsoo Kim South Korea 11 319 1.5× 220 1.2× 187 1.2× 115 1.5× 38 0.6× 36 600
Xiaojing Wang China 11 171 0.8× 204 1.1× 50 0.3× 68 0.9× 38 0.6× 34 525
Arsalan Ahmed Othman Iraq 14 246 1.1× 179 1.0× 288 1.9× 64 0.8× 196 2.9× 42 681
Asish Saha India 7 265 1.2× 110 0.6× 231 1.5× 47 0.6× 43 0.6× 11 476
Jesudasan Jacinth Jennifer India 12 284 1.3× 128 0.7× 247 1.6× 61 0.8× 31 0.5× 14 444
A. Rajaneesh India 15 340 1.6× 253 1.4× 136 0.9× 62 0.8× 28 0.4× 31 530
Hanxiang Xiong China 11 133 0.6× 90 0.5× 173 1.1× 51 0.7× 47 0.7× 27 408
Mona Kaiser Egypt 12 135 0.6× 65 0.4× 103 0.7× 44 0.6× 91 1.3× 32 423
Davoud Davoudi Moghaddam Iran 10 373 1.7× 98 0.6× 267 1.8× 74 1.0× 51 0.8× 12 586
Zhengwei He China 13 234 1.1× 82 0.5× 74 0.5× 88 1.1× 62 0.9× 84 502

Countries citing papers authored by Umer Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Umer Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umer Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Umer Khalil. A scholar is included among the top collaborators of Umer Khalil 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 Umer Khalil. Umer Khalil 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.
Maqsoom, Ahsen, Lapyote Prasittisopin, Umer Khalil, et al.. (2025). Evaluating the Environmental Impact: A Multisensor Remote Sensing Approach for Spatial and Temporal Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7189–7206. 1 indexed citations
2.
3.
Wang, L, et al.. (2024). Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment. Physics and Chemistry of the Earth Parts A/B/C. 135. 103682–103682. 20 indexed citations
4.
Duan, Xiaoqian, Ahsen Maqsoom, Umer Khalil, et al.. (2024). Enhancing soil moisture retrieval in semi-arid regions using machine learning algorithms and remote sensing data. Applied Soil Ecology. 204. 105687–105687. 9 indexed citations
5.
6.
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
7.
Aslam, Bilal, et al.. (2023). Impact of LULC on debris flow using linear aggression model from Gilgit to Khunjerab with emphasis on urban sprawl. Environmental Science and Pollution Research. 30(49). 107068–107083. 5 indexed citations
8.
Aslam, Bilal, Ahsen Maqsoom, Umer Khalil, et al.. (2022). Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan. Sensors. 22(9). 3107–3107. 29 indexed citations
9.
Maqsoom, Ahsen, et al.. (2022). An integrated approach based earthquake risk assessment of a seismically active and rapidly urbanizing area in Northern Pakistan. Geocarto International. 37(27). 16043–16073. 8 indexed citations
10.
Aslam, Bilal, Adeel Zafar, & Umer Khalil. (2022). Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan. Environment Development and Sustainability. 27(10). 24723–24750. 16 indexed citations
11.
12.
Aslam, Bilal, et al.. (2021). Assessing Nitrate Contamination Risks in Groundwater: A Machine Learning Approach. Applied Sciences. 11(21). 10034–10034. 30 indexed citations
13.
Khalil, Umer, et al.. (2021). Time Series Analysis of Land Surface Temperature and Drivers of Urban Heat Island Effect Based on Remotely Sensed Data to Develop a Prediction Model. Applied Artificial Intelligence. 35(15). 1803–1828. 29 indexed citations
14.
Khalil, Umer & Bilal Aslam. (2021). Geospatial-based soil management analysis using novel technique for better soil conservation. Modeling Earth Systems and Environment. 8(1). 259–275. 7 indexed citations
15.
Aslam, Bilal, et al.. (2021). Effect of multiple climate change scenarios and predicted land-cover on soil erosion: a way forward for the better land management. Environmental Monitoring and Assessment. 193(11). 754–754. 6 indexed citations
16.
Khalil, Umer, Bilal Aslam, Zaheer Abbas Kazmi, et al.. (2021). Integrated support vector regressor and hybrid neural network techniques for earthquake prediction along Chaman fault, Baluchistan. Arabian Journal of Geosciences. 14(21). 22 indexed citations
17.
Aslam, Bilal, et al.. (2021). Seismic investigation of the northern part of Pakistan using the statistical and neural network algorithms. Environmental Earth Sciences. 80(2). 12 indexed citations
18.
Aslam, Bilal, Adeel Zafar, & Umer Khalil. (2021). Correction to: Development of integrated deep learning and machine learning algorithm for the assessment of landslide hazard potential. Soft Computing. 25(21). 13795–13795. 4 indexed citations
19.
Aslam, Bilal, Adeel Zafar, & Umer Khalil. (2021). Development of integrated deep learning and machine learning algorithm for the assessment of landslide hazard potential. Soft Computing. 25(21). 13493–13512. 34 indexed citations
20.
Maqsoom, Ahsen, Bilal Aslam, Umer Khalil, et al.. (2020). A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China–Pakistan Economic Corridor (CPEC) Route. ISPRS International Journal of Geo-Information. 9(5). 332–332. 53 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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