Muhammad Yousaf Shad

1.3k total citations
37 papers, 892 citations indexed

About

Muhammad Yousaf Shad is a scholar working on Management Science and Operations Research, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Muhammad Yousaf Shad has authored 37 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 8 papers in Statistics and Probability and 7 papers in Artificial Intelligence. Recurrent topics in Muhammad Yousaf Shad's work include Statistical Distribution Estimation and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Muhammad Yousaf Shad is often cited by papers focused on Statistical Distribution Estimation and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Muhammad Yousaf Shad collaborates with scholars based in Pakistan, United Kingdom and Saudi Arabia. Muhammad Yousaf Shad's co-authors include Abid Hussain, Ijaz Hussain, Alaa Mohamd Shoukry, Mazhar Iqbal, Sohail Yousaf, Aqib Hassan Ali Khan, Showkat Gani, Muhammad Faisal, Tajammal Hussain and Imran Hussain and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Chemosphere.

In The Last Decade

Muhammad Yousaf Shad

35 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Yousaf Shad Pakistan 13 209 155 138 86 77 37 892
Na Zhang China 15 160 0.8× 122 0.8× 76 0.6× 100 1.2× 23 0.3× 71 1.1k
Xiaojun Liu China 18 73 0.3× 79 0.5× 166 1.2× 101 1.2× 17 0.2× 86 1.3k
Lei Fang China 17 79 0.4× 119 0.8× 134 1.0× 45 0.5× 196 2.5× 50 994
Li-Chen Chou China 12 75 0.4× 73 0.5× 44 0.3× 75 0.9× 22 0.3× 33 811
Yiqun Chen China 15 60 0.3× 136 0.9× 87 0.6× 80 0.9× 17 0.2× 72 959
Nahid Sultana Bangladesh 19 109 0.5× 214 1.4× 74 0.5× 119 1.4× 14 0.2× 107 1.4k
Liqun Liu China 15 66 0.3× 90 0.6× 181 1.3× 157 1.8× 25 0.3× 65 979
Xiaoqian Hu China 23 70 0.3× 390 2.5× 173 1.3× 110 1.3× 14 0.2× 82 1.9k
Mrinmoy Majumder India 17 44 0.2× 95 0.6× 66 0.5× 126 1.5× 30 0.4× 98 923

Countries citing papers authored by Muhammad Yousaf Shad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Yousaf Shad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Yousaf Shad. 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 Muhammad Yousaf Shad. The network helps show where Muhammad Yousaf Shad may publish in the future.

Co-authorship network of co-authors of Muhammad Yousaf Shad

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Yousaf Shad. A scholar is included among the top collaborators of Muhammad Yousaf Shad 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 Muhammad Yousaf Shad. Muhammad Yousaf Shad 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.
Shad, Muhammad Yousaf, et al.. (2025). Comparative immobilization of lead, cadmium, and copper in soil using dead bacterial biomass and graphitic carbon nitride nanomaterials. Chemical Engineering Journal Advances. 22. 100714–100714.
2.
Shad, Muhammad Yousaf, Uyen‐Sa Nguyen, Waheed U. Bajwa, et al.. (2023). A Bayesian spatiotemporal approach to modelling arboviral diseases in Mexico. Transactions of the Royal Society of Tropical Medicine and Hygiene. 117(12). 867–874. 4 indexed citations
3.
Shad, Muhammad Yousaf, et al.. (2022). The benefits of co-evolutionary Genetic Algorithms in voyage optimisation. Ocean Engineering. 245. 110261–110261. 14 indexed citations
4.
Shad, Muhammad Yousaf, et al.. (2022). On partial randomized response model using ranked set sampling. PLoS ONE. 17(11). e0277497–e0277497. 3 indexed citations
5.
Lubinda, Jailos, Ubydul Haque, Yaxin Bi, et al.. (2021). Climate change and the dynamics of age-related malaria incidence in Southern Africa. Environmental Research. 197. 111017–111017. 12 indexed citations
6.
Khan, Aqib Hassan Ali, Muhammad Yousaf Shad, Rocío Barros, et al.. (2021). Interactive effect of biochar and compost with Poaceae and Fabaceae plants on remediation of total petroleum hydrocarbons in crude oil contaminated soil. Chemosphere. 286(Pt 2). 131782–131782. 56 indexed citations
7.
Begum, Mst. Marium, Ajlina Karamehić-Muratović, Jailos Lubinda, et al.. (2021). Quantifying Media Effects, Its Content, and Role in Promoting Community Awareness of Chikungunya Epidemic in Bangladesh. Epidemiologia. 2(1). 84–94. 1 indexed citations
8.
Shad, Muhammad Yousaf, et al.. (2021). Estimation of population proportion using concomitant based ranked set sampling. Communication in Statistics- Theory and Methods. 51(9). 2689–2709. 3 indexed citations
9.
Shad, Muhammad Yousaf, et al.. (2021). Sensitive proportion in ranked set sampling. PLoS ONE. 16(8). e0256699–e0256699. 2 indexed citations
10.
Hussain, Fida, Aqib Hassan Ali Khan, Imran Hussain, et al.. (2021). Soil conditioners improve rhizodegradation of aged petroleum hydrocarbons and enhance the growth of Lolium multiflorum. Environmental Science and Pollution Research. 29(6). 9097–9109. 28 indexed citations
11.
Shrestha, Nistha, Muhammad Yousaf Shad, Ajlina Karamehić-Muratović, et al.. (2020). The impact of COVID-19 on globalization. One Health. 11. 100180–100180. 168 indexed citations
12.
Mihreteab, Selam, Jailos Lubinda, Bingxin Zhao, et al.. (2020). Retrospective data analyses of social and environmental determinants of malaria control for elimination prospects in Eritrea. Parasites & Vectors. 13(1). 126–126. 3 indexed citations
13.
Ali, Zulfiqar, Ijaz Hussain, Muhammad Faisal, et al.. (2019). An ensemble procedure for pattern recognition of regional drought. International Journal of Climatology. 40(1). 94–114. 4 indexed citations
14.
Hussain, Abid, et al.. (2018). An Efficient Genetic Algorithm for Numerical Function Optimization with Two New Crossover Operators. 4(4). 41–55. 12 indexed citations
15.
Hussain, Abid, et al.. (2017). Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator. Computational Intelligence and Neuroscience. 2017. 1–7. 115 indexed citations
16.
Shad, Muhammad Yousaf, et al.. (2017). Manipulation-based ranked set sampling scheme. Revista Catalana de Dret Públic. 13(4). 775–775. 2 indexed citations
17.
Hussain, Ijaz, et al.. (2017). Regional Frequency Analysis of Extremes Precipitation Using L-Moments and Partial L-Moments. Advances in Meteorology. 2017. 1–20. 29 indexed citations
18.
Khan, Aqib Hassan Ali, et al.. (2016). Role of nutrients and illuminance in predicting the fate of fungal mediated petroleum hydrocarbon degradation and biomass production. Journal of Environmental Management. 176. 54–60. 34 indexed citations
19.
Shad, Muhammad Yousaf, Ijaz Hussain, & Alaa Mohamd Shoukry. (2016). Multivariate Multi-Objective Allocation in Stratified Random Sampling: A Game Theoretic Approach. PLoS ONE. 11(12). e0167705–e0167705. 4 indexed citations
20.

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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