Usman T. Khan

1.4k citations
58 papers · 983 indexed · h-index 18
Topics
Flood Risk Assessment and Management (21 papers)Hydrological Forecasting Using AI (13 papers)Hydrology and Watershed Management Studies (13 papers)

In The Last Decade

Usman T. Khan

53 papers receiving 963 citations

Peers

Usman T. Khan
Comparison fields: 5 of 92
  • Environmental Engineering 508
  • Global and Planetary Change 465
  • Water Science and Technology 312
  • Civil and Structural Engineering 140
  • Ocean Engineering 85
Replace Srinivas Pasupuleti with:
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Sina Sadeghfam Iran
Yousef Hassanzadeh Iran
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Vahdettin Demir Türkiye
D. Ramakrishnan India
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Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Usman T. Khan

Since Specialization
Citations

This map shows the geographic impact of Usman T. Khan'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 Usman T. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usman T. Khan more than expected).

Fields of papers citing papers by Usman T. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Usman T. Khan. 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 Usman T. Khan. The network helps show where Usman T. Khan may publish in the future.

Co-authorship network of co-authors of Usman T. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Usman T. Khan. A scholar is included among the top collaborators of Usman T. Khan 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 Usman T. Khan. Usman T. Khan 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
#WorkIndexed citations
1 4
2 1
3 0
4 5
5 9
6 0
7 16
8 10
9 27
10 8
11 4
12
Factors affecting nano scale zero valent iron (nZVI) travel distance in heterogeneous groundwater aquifers: A statistical modeling approach
1
13
An evaluation of global bioretention cell design guidelines
1
14 35
15 28
16 19
17 30
18 23
19 19
20 38

About Usman T. Khan

Usman T. Khan is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 58 papers that have together received 983 indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (21 papers), Hydrological Forecasting Using AI (13 papers) and Hydrology and Watershed Management Studies (13 papers). The work is most often cited by research in Environmental Engineering (508 citations), Water Science and Technology (312 citations) and Global and Planetary Change (465 citations). Usman T. Khan has collaborated with scholars based in Canada, Pakistan and United Kingdom. Frequent co-authors include Caterina Valeo, Costas Armenakis, Angus Chu, Bert van Duin, Matthew A. Perras, Mojgan Jadidi, Jianxun He, Iain Bate, Amanullah Yasin and Imran Shafi. Their work appears in journals such as The Science of The Total Environment, Journal of Hydrology and Hydrology and earth system sciences.

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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