Shaukat Ali

1.6k total citations
57 papers, 1.1k citations indexed

About

Shaukat Ali is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Shaukat Ali has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Shaukat Ali's work include Climate variability and models (39 papers), Meteorological Phenomena and Simulations (22 papers) and Hydrology and Drought Analysis (15 papers). Shaukat Ali is often cited by papers focused on Climate variability and models (39 papers), Meteorological Phenomena and Simulations (22 papers) and Hydrology and Drought Analysis (15 papers). Shaukat Ali collaborates with scholars based in Pakistan, China and Nepal. Shaukat Ali's co-authors include Firdos Khan, Sher Muhammad, Dan Li, Fu Congbin, Yang Yang, Nadia Rehman, Michelle Simões Reboita, Jürgen Pilz, Jaepil Cho and Li Dan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Shaukat Ali

56 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaukat Ali Pakistan 21 770 575 191 189 118 57 1.1k
Fatima Driouech France 14 695 0.9× 354 0.6× 168 0.9× 157 0.8× 85 0.7× 31 975
Gillian Kay United Kingdom 13 690 0.9× 395 0.7× 148 0.8× 199 1.1× 64 0.5× 24 1.0k
Sanjit Kumar Mondal China 13 734 1.0× 260 0.5× 175 0.9× 217 1.1× 79 0.7× 25 921
Francesca Raffaele Italy 13 721 0.9× 543 0.9× 106 0.6× 143 0.8× 59 0.5× 24 934
R. W. Arritt United States 9 888 1.2× 722 1.3× 91 0.5× 143 0.8× 116 1.0× 13 1.1k
S. K. Panda India 14 700 0.9× 500 0.9× 135 0.7× 91 0.5× 111 0.9× 43 904
Thomas Mendlik Austria 10 610 0.8× 421 0.7× 93 0.5× 209 1.1× 59 0.5× 14 859
K. Koteswara Rao India 15 538 0.7× 330 0.6× 115 0.6× 108 0.6× 84 0.7× 39 691
Jamaludin Suhaila Malaysia 17 776 1.0× 334 0.6× 107 0.6× 214 1.1× 142 1.2× 48 1.0k
Akhil Srivastava India 8 912 1.2× 522 0.9× 177 0.9× 182 1.0× 217 1.8× 26 1.1k

Countries citing papers authored by Shaukat Ali

Since Specialization
Citations

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

Fields of papers citing papers by Shaukat Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaukat Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Shaukat Ali. A scholar is included among the top collaborators of Shaukat Ali 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 Shaukat Ali. Shaukat Ali 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.
Islam, Muhammad, Shaukat Ali, Haris Majeed, et al.. (2025). Drivers of stunting and wasting across serial cross-sectional household surveys of children under 2 years of age in Pakistan: potential contribution of ecological factors. American Journal of Clinical Nutrition. 121(3). 610–619. 2 indexed citations
2.
Khan, Firdos, Gunter Spöck, Yuei‐An Liou, & Shaukat Ali. (2024). Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data. Environmental Science and Pollution Research. 31(42). 54979–54999. 5 indexed citations
3.
Ali, Shaukat, Michelle Simões Reboita, Muhammad Arif Goheer, et al.. (2024). Climate change research, capacity building and communication on climate extremes over South Asia. 14(1). 1–1. 1 indexed citations
4.
Khan, Firdos, et al.. (2024). Enhancing Drought Risk Assessment in the Punjab, Pakistan: A Copula-Based Modeling Approach for Future Projections. Journal of Applied Meteorology and Climatology. 63(10). 1207–1225. 2 indexed citations
5.
Khan, Firdos, et al.. (2024). Enhanced climate projections over Sindh, Pakistan: a bayesian model averaging ensemble methodology. Modeling Earth Systems and Environment. 10(3). 4401–4413. 2 indexed citations
6.
Muhammad, Sher, et al.. (2023). A decline in snow cover area of Passu and Ghulkin valleys between 1995 and 2022. Journal of Mountain Science. 20(12). 3542–3551. 1 indexed citations
7.
Ali, Shaukat, Zulfiqar A Bhutta, Michelle Simões Reboita, et al.. (2023). A 5‐km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016. Geoscience Data Journal. 11(3). 292–302. 6 indexed citations
8.
Rashid, Irfan Ur, Muhammad Adnan Abid, Mansour Almazroui, et al.. (2022). Early summer surface air temperature variability over Pakistan and the role of El Niño–Southern Oscillation teleconnections. International Journal of Climatology. 42(11). 5768–5784. 17 indexed citations
9.
Khan, Asif, et al.. (2022). The Karakoram Anomaly: Validation through Remote Sensing Data, Prospects and Implications. Water. 14(19). 3157–3157. 3 indexed citations
10.
Khan, Firdos, Jürgen Pilz, & Shaukat Ali. (2021). Evaluation of CMIP5 models and ensemble climate projections using a Bayesian approach: a case study of the Upper Indus Basin, Pakistan. Environmental and Ecological Statistics. 28(2). 383–404. 22 indexed citations
11.
Ali, Shaukat, et al.. (2021). 21st century precipitation and monsoonal shift over Pakistan and Upper Indus Basin (UIB) using high-resolution projections. The Science of The Total Environment. 797. 149139–149139. 22 indexed citations
12.
Ali, Shaukat, Moetasim Ashfaq, Firdos Khan, et al.. (2021). Hydrological projections over the Upper Indus Basin at 1.5 °C and 2.0 °C temperature increase. The Science of The Total Environment. 788. 147759–147759. 24 indexed citations
13.
14.
15.
Khan, Firdos, et al.. (2020). Variability and Predictability of Summer Monsoon Rainfall over Pakistan. Asia-Pacific Journal of Atmospheric Sciences. 57(1). 89–97. 17 indexed citations
16.
Ali, Shaukat, Michelle Simões Reboita, Li Dan, et al.. (2020). Identifying hotspots cities vulnerable to climate change in Pakistan under CMIP5 climate projections. International Journal of Climatology. 41(1). 559–581. 35 indexed citations
17.
Muhammad, Sher, Lide Tian, Shaukat Ali, et al.. (2020). Thin debris layers do not enhance melting of the Karakoram glaciers. The Science of The Total Environment. 746. 141119–141119. 27 indexed citations
18.
Gul, Chaman, P. S. Praveen, Shichang Kang, et al.. (2018). Concentrations and source regions of light-absorbing particles in snow/ice in northern Pakistan and their impact on snow albedo. Atmospheric chemistry and physics. 18(7). 4981–5000. 33 indexed citations
19.
Gul, Chaman, et al.. (2017). Using Landsat images to monitor changes in the snow-covered area of selected glaciers in northern Pakistan. Journal of Mountain Science. 14(10). 2013–2027. 16 indexed citations
20.
Ali, Shaukat, Dan Li, Fu Congbin, Firdos Khan, & Yang Yang. (2013). Coupling of Regional Climate Model (RCM) and Hydrological Model. 1 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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