Kashif Ullah

1.0k total citations
20 papers, 714 citations indexed

About

Kashif Ullah is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Atmospheric Science. According to data from OpenAlex, Kashif Ullah has authored 20 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 7 papers in Management, Monitoring, Policy and Law and 6 papers in Atmospheric Science. Recurrent topics in Kashif Ullah's work include Flood Risk Assessment and Management (13 papers), Hydrology and Drought Analysis (8 papers) and Landslides and related hazards (7 papers). Kashif Ullah is often cited by papers focused on Flood Risk Assessment and Management (13 papers), Hydrology and Drought Analysis (8 papers) and Landslides and related hazards (7 papers). Kashif Ullah collaborates with scholars based in China, Bangladesh and South Korea. Kashif Ullah's co-authors include Jiquan Zhang, Yi Wang, Bazel Al-Shaibah, Lizhe Wang, Zhice Fang, Mahfuzur Rahman, Muhammad Hussain, Muhammad Tayyab, Xingpeng Liu and Ashfaq Ahmad Shah and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Kashif Ullah

19 papers receiving 698 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kashif Ullah China 12 583 210 208 155 146 20 714
Jean Homian Danumah Ivory Coast 13 498 0.9× 136 0.6× 175 0.8× 224 1.4× 82 0.6× 22 641
Asif Sajjad China 12 333 0.6× 170 0.8× 132 0.6× 106 0.7× 96 0.7× 22 499
Kutub Uddin Eibek Bangladesh 7 583 1.0× 290 1.4× 247 1.2× 74 0.5× 107 0.7× 8 746
Chen Ningsheng China 7 379 0.7× 168 0.8× 141 0.7× 109 0.7× 97 0.7× 18 485
Sonali Kundu India 8 528 0.9× 290 1.4× 257 1.2× 68 0.4× 82 0.6× 13 645
Thimmaiah Gudiyangada Nachappa Austria 10 610 1.0× 174 0.8× 153 0.7× 353 2.3× 119 0.8× 10 788
Seyed Vahid Razavi Termeh Iran 5 457 0.8× 246 1.2× 218 1.0× 143 0.9× 63 0.4× 7 583
Moslem Borji Iran 9 221 0.4× 95 0.5× 99 0.5× 148 1.0× 130 0.9× 10 444
Mohammad Farid Indonesia 14 312 0.5× 134 0.6× 71 0.3× 113 0.7× 102 0.7× 97 555
Pham Thi Thao Nhi Vietnam 11 402 0.7× 374 1.8× 239 1.1× 45 0.3× 91 0.6× 19 624

Countries citing papers authored by Kashif Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Kashif Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kashif Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Kashif Ullah. A scholar is included among the top collaborators of Kashif Ullah 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 Kashif Ullah. Kashif Ullah 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.
Hussain, Muhammad, Kashif Ullah, Muhammad Tayyab, et al.. (2025). Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach. Journal of Environmental Management. 388. 126009–126009. 2 indexed citations
2.
Wang, Yi, et al.. (2025). Assessing the impact of precipitation variability on landslide hazards in urbanized regions. International Journal of Applied Earth Observation and Geoinformation. 136. 104360–104360. 2 indexed citations
3.
Khan, Nasir, Hassan Alzahrani, Shibiao Bai, et al.. (2025). Flood risk assessment in the Swat river catchment through GIS-based multi-criteria decision analysis. Frontiers in Environmental Science. 13. 5 indexed citations
4.
5.
Li, Penglei, et al.. (2024). Unsupervised Landslide Detection From Multitemporal High-Resolution Images Based on Progressive Label Upgradation and Cross-Temporal Style Adaption. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 2 indexed citations
6.
Al-Aizari, Ali R., Hassan Alzahrani, Omar F. Althuwaynee, et al.. (2024). Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen. Remote Sensing. 16(2). 336–336. 28 indexed citations
7.
Ullah, Kashif, Yi Wang, Penglei Li, et al.. (2024). Spatiotemporal dynamics of landslide susceptibility under future climate change and land use scenarios. Environmental Research Letters. 19(12). 124016–124016. 14 indexed citations
8.
Rahman, Mahfuzur, Shufeng Tian, Hyeong-Joo Kim, et al.. (2024). Multi-hazard could exacerbate in coastal Bangladesh in the context of climate change. Journal of Cleaner Production. 457. 142289–142289. 16 indexed citations
9.
Hussain, Muhammad, Muhammad Tayyab, Kashif Ullah, et al.. (2023). Development of a new integrated flood resilience model using machine learning with GIS-based multi-criteria decision analysis. Urban Climate. 50. 101589–101589. 48 indexed citations
10.
Rahman, Mahfuzur, Md Monirul Islam, Ningsheng Chen, et al.. (2023). Could climate change exacerbate droughts in Bangladesh in the future?. Journal of Hydrology. 625. 130096–130096. 11 indexed citations
11.
Li, Penglei, Yi Wang, Tongzhen Si, et al.. (2023). MFFSP: Multi-scale feature fusion scene parsing network for landslides detection based on high-resolution satellite images. Engineering Applications of Artificial Intelligence. 127. 107337–107337. 33 indexed citations
12.
Li, Penglei, Yi Wang, Tongzhen Si, et al.. (2023). DSFA: cross-scene domain style and feature adaptation for landslide detection from high spatial resolution images. International Journal of Digital Earth. 16(1). 2426–2447. 15 indexed citations
13.
Al-Aizari, Ali R., Ali Aydda, Jiquan Zhang, et al.. (2022). Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen. Remote Sensing. 14(16). 4050–4050. 57 indexed citations
14.
Al‐Areeq, Nabil M., Kashif Ullah, Ali R. Al-Aizari, et al.. (2022). Estimate earth fissure hazard based on machine learning in the Qa’ Jahran Basin, Yemen. Scientific Reports. 12(1). 21936–21936. 11 indexed citations
15.
Ullah, Kashif, Yi Wang, Zhice Fang, Lizhe Wang, & Mahfuzur Rahman. (2022). Multi-hazard susceptibility mapping based on Convolutional Neural Networks. Geoscience Frontiers. 13(5). 101425–101425. 101 indexed citations
16.
17.
Ullah, Kashif, et al.. (2022). Prevalence Of Low Back Pain and Disability Among Computer Operators Working in The Banks of Peshawar. Pakistan Journal of Health Sciences. 87–90. 2 indexed citations
18.
Hussain, Muhammad, Muhammad Tayyab, Jiquan Zhang, et al.. (2021). GIS-Based Multi-Criteria Approach for Flood Vulnerability Assessment and Mapping in District Shangla: Khyber Pakhtunkhwa, Pakistan. Sustainability. 13(6). 3126–3126. 78 indexed citations
19.
Ullah, Kashif & Jiquan Zhang. (2020). GIS-based flood hazard mapping using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan. PLoS ONE. 15(3). e0229153–e0229153. 201 indexed citations
20.
Tong, Zhijun, et al.. (2020). Using RS Data-Based CA–Markov Model for Dynamic Simulation of Historical and Future LUCC in Vientiane, Laos. Sustainability. 12(20). 8410–8410. 55 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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