Sara Imran Khan

29 total papers · 799 total citations
20 papers, 546 citations indexed

About

Sara Imran Khan is a scholar working on Global and Planetary Change, Renewable Energy, Sustainability and the Environment and Economics and Econometrics. According to data from OpenAlex, Sara Imran Khan has authored 20 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Renewable Energy, Sustainability and the Environment and 4 papers in Economics and Econometrics. Recurrent topics in Sara Imran Khan's work include Flood Risk Assessment and Management (5 papers), COVID-19 epidemiological studies (4 papers) and UAV Applications and Optimization (3 papers). Sara Imran Khan is often cited by papers focused on Flood Risk Assessment and Management (5 papers), COVID-19 epidemiological studies (4 papers) and UAV Applications and Optimization (3 papers). Sara Imran Khan collaborates with scholars based in Australia, Pakistan and United Kingdom. Sara Imran Khan's co-authors include Hafiz Suliman Munawar, Zakria Qadir, Abbas Z. Kouzani, M. A. Parvez Mahmud, Fahim Ullah, Siddra Qayyum, Mohammad Mojtahedi, Fadi Al‐Turjman, Soumya Ranjan Nayak and Anil Kumar Budati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Applied Sciences.

In The Last Decade

Sara Imran Khan

19 papers receiving 533 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Imran Khan 107 104 93 85 74 20 546
Yue Gong 44 0.4× 125 1.2× 67 0.7× 38 0.4× 121 1.6× 39 610
Monidipa Das 71 0.7× 122 1.2× 111 1.2× 15 0.2× 70 0.9× 51 547
Haitao Yang 45 0.4× 149 1.4× 27 0.3× 15 0.2× 46 0.6× 15 578
Hongyong Yuan 38 0.4× 65 0.6× 145 1.6× 24 0.3× 38 0.5× 62 556
Rajesh Wadhvani 162 1.5× 268 2.6× 22 0.2× 27 0.3× 47 0.6× 41 600
Sung-Min Kim 88 0.8× 133 1.3× 39 0.4× 26 0.3× 58 0.8× 51 456
Guangqiu Huang 48 0.4× 74 0.7× 58 0.6× 20 0.2× 22 0.3× 49 498
Wei Zheng 42 0.4× 178 1.7× 69 0.7× 22 0.3× 40 0.5× 35 520
Mughair Aslam Bhatti 38 0.4× 78 0.8× 62 0.7× 12 0.1× 150 2.0× 28 600
Fei Gao 54 0.5× 148 1.4× 21 0.2× 80 0.9× 33 0.4× 34 603

Countries citing papers authored by Sara Imran Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sara Imran Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Imran Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Imran Khan. A scholar is included among the top collaborators of Sara Imran 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 Sara Imran Khan. Sara Imran Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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