Khan Alam

3.7k total citations
122 papers, 2.9k citations indexed

About

Khan Alam is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Khan Alam has authored 122 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Atmospheric Science, 71 papers in Global and Planetary Change and 40 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Khan Alam's work include Atmospheric chemistry and aerosols (78 papers), Atmospheric aerosols and clouds (63 papers) and Atmospheric Ozone and Climate (40 papers). Khan Alam is often cited by papers focused on Atmospheric chemistry and aerosols (78 papers), Atmospheric aerosols and clouds (63 papers) and Atmospheric Ozone and Climate (40 papers). Khan Alam collaborates with scholars based in Pakistan, China and Austria. Khan Alam's co-authors include Thomas Blaschke, Thomas Trautmann, Humera Bibi, Samina Bibi, Majid Hussain, Salman Qureshi, Muhammad Jawed Iqbal, Farrukh Chishtie, Imran Shahid and Pierre Madl and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Khan Alam

117 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khan Alam Pakistan 31 2.0k 1.8k 958 581 188 122 2.9k
Shu‐Hua Chen United States 34 4.0k 2.0× 3.4k 1.8× 726 0.8× 788 1.4× 87 0.5× 135 5.4k
Sachchidanand Singh India 31 2.0k 1.0× 1.6k 0.9× 977 1.0× 490 0.8× 63 0.3× 73 2.6k
E. Vignati Italy 32 3.2k 1.6× 2.5k 1.3× 1.5k 1.5× 678 1.2× 149 0.8× 66 4.4k
Song Gao China 28 2.5k 1.3× 1.1k 0.6× 1.8k 1.8× 671 1.2× 62 0.3× 72 3.5k
Matteo Rinaldi Italy 34 3.6k 1.8× 2.1k 1.1× 1.6k 1.7× 603 1.0× 112 0.6× 87 4.1k
Liangfu Chen China 28 1.7k 0.9× 1.4k 0.8× 999 1.0× 730 1.3× 65 0.3× 112 2.5k
Xuelei Zhang China 26 1.1k 0.5× 653 0.4× 682 0.7× 229 0.4× 126 0.7× 86 1.9k
Chul Han Song South Korea 30 2.3k 1.2× 1.6k 0.9× 1.0k 1.1× 592 1.0× 62 0.3× 80 2.7k
Mi Zhou China 19 1.4k 0.7× 1.1k 0.6× 624 0.7× 419 0.7× 30 0.2× 51 2.2k
Andreas Maßling Denmark 43 3.6k 1.9× 2.9k 1.6× 2.4k 2.5× 661 1.1× 272 1.4× 116 4.8k

Countries citing papers authored by Khan Alam

Since Specialization
Citations

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

Fields of papers citing papers by Khan Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khan Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Khan Alam. A scholar is included among the top collaborators of Khan Alam 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 Khan Alam. Khan Alam 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.
2.
Wang, Tianhe, et al.. (2024). Can the aerosol pollution extreme events be revealed by global reanalysis products?. The Science of The Total Environment. 923. 171424–171424. 5 indexed citations
3.
Zeb, Bahadar, Khan Alam, Zhongwei Huang, et al.. (2024). In-depth characterization of particulate matter in a highly polluted urban environment at the foothills of Himalaya–Karakorum Region. Environmental Science and Pollution Research. 31(24). 35705–35726. 1 indexed citations
4.
Hamzeh‎, Nasim Hossein, et al.. (2024). Long-Term Wind and Air Temperature Patterns in the Southeastern Region of Iran through Model Simulation and Ground Observations. Atmosphere. 15(8). 993–993. 2 indexed citations
5.
Yu, Haipeng, Huancui Hu, Jianping Huang, et al.. (2024). The Water Vapor Origin of a Rainstorm Event in the Taklamakan Desert. Journal of Geophysical Research Atmospheres. 129(24). 4 indexed citations
6.
Ge, Jinming, Wenxue Li, Jianping Huang, et al.. (2024). Dust Accelerates the Life Cycle of High Clouds Unveiled Through Strongly‐Constrained Meteorology. Geophysical Research Letters. 51(17). 2 indexed citations
7.
Alam, Khan, et al.. (2024). Influence of covariance of aerosol and meteorology on co-located precipitating and non-precipitating clouds over the Indo-Gangetic Plain. Atmospheric chemistry and physics. 24(19). 11333–11349. 2 indexed citations
8.
Ullah, Sami, Khan Alam, Muhammad Usman, et al.. (2023). First-principles calculations to investigate optical properties of topological semimetal MX compounds (M = Ti, Zr, Hf and X = S, Se, Te). Materials Today Communications. 35. 106001–106001. 11 indexed citations
9.
Chen, Yu, Siyu Chen, Jie Zhou, et al.. (2023). A super dust storm enhanced by radiative feedback. npj Climate and Atmospheric Science. 6(1). 28 indexed citations
10.
Liu, Yuzhi, et al.. (2023). Dust effects on mixed-phase clouds and precipitation during a super dust storm over northern China. Atmospheric Environment. 313. 120081–120081. 8 indexed citations
11.
Iqbal, Muhammad Jawed, Khan Alam, Zhongwei Huang, et al.. (2023). Assessment of Runoff Components of River Flow in the Karakoram Mountains, Pakistan, during 1995–2010. Remote Sensing. 15(2). 399–399. 5 indexed citations
12.
Ikram, Muhammad, et al.. (2022). The influence and contribution of fine mode particles to aerosol optical properties during haze events at the foothills of Himalaya-Karakorum region. Atmospheric Environment. 290. 119388–119388. 8 indexed citations
13.
Hussain, Khadim, Zhongwei Huang, Khan Alam, et al.. (2022). Air Quality Assessment along China-Pakistan Economic Corridor at the Confluence of Himalaya-Karakoram-Hindukush. Atmosphere. 13(12). 1994–1994. 2 indexed citations
14.
Zeb, Bahadar, Khan Alam, Mohammad Valipour, et al.. (2022). Exploring the Mass Concentration of Particulate Matter and Its Relationship with Meteorological Parameters in the Hindu-Kush Range. Atmosphere. 13(10). 1628–1628. 17 indexed citations
15.
Alam, Khan, et al.. (2021). Pulmonary Dysfunction Augmenting Bacterial Aerosols in Leather Tanneries of Punjab, Pakistan. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Wang, Peng, Lyudmila Mihaylova, Said Munir, et al.. (2021). A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Processing. 183. 108034–108034. 2 indexed citations
17.
Larabi, Abdelkader, et al.. (2021). Using unmanned aerial systems and deep learning for agriculture mapping in Dubai. Heliyon. 7(10). e08154–e08154. 34 indexed citations
18.
Tariq, Shahina, et al.. (2020). Long-term variation in aerosol optical properties and their climatic implications over major cities of Pakistan. Journal of Atmospheric and Solar-Terrestrial Physics. 210. 105419–105419. 11 indexed citations
19.
Zhang, Xiaorui, Siyu Chen, Litai Kang, et al.. (2020). Direct Radiative Forcing Induced by Light‐Absorbing Aerosols in Different Climate Regions Over East Asia. Journal of Geophysical Research Atmospheres. 125(14). 20 indexed citations
20.
Alvi, Muhammad Usman, Tariq Mahmud, Magdalena Kistler, et al.. (2020). Elemental Composition of Particulate Matter in South-Asian Megacity (Faisalabad-Pakistan): Seasonal Behaviors, Source Apportionment and Health Risk Assessment. Revista de Chimie. 71(2). 288–301. 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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