Muhammad Aamir

1.2k total citations
77 papers, 807 citations indexed

About

Muhammad Aamir is a scholar working on Economics and Econometrics, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Muhammad Aamir has authored 77 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Economics and Econometrics, 20 papers in Statistics and Probability and 17 papers in Management Science and Operations Research. Recurrent topics in Muhammad Aamir's work include Survey Sampling and Estimation Techniques (18 papers), Market Dynamics and Volatility (13 papers) and Statistical Distribution Estimation and Applications (12 papers). Muhammad Aamir is often cited by papers focused on Survey Sampling and Estimation Techniques (18 papers), Market Dynamics and Volatility (13 papers) and Statistical Distribution Estimation and Applications (12 papers). Muhammad Aamir collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Muhammad Aamir's co-authors include Muhammad Ishaq, Adnan Aslam, Ani Shabri, Zahid Iqbal, Sohaib Ahmad, Wei Gao, Javid Shabbir, Muhammad Naeem, Dost Muhammad Khan and Zardad Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Muhammad Aamir

76 papers receiving 777 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 Aamir Pakistan 18 188 154 151 147 141 77 807
Muhammad Uzair Awan Pakistan 27 187 1.0× 232 1.5× 170 1.1× 265 1.8× 60 0.4× 248 3.0k
Muhammad Saeed Pakistan 22 137 0.7× 635 4.1× 1.1k 7.0× 86 0.6× 9 0.1× 203 1.8k
Graciela González–Farías Mexico 12 330 1.8× 21 0.1× 112 0.7× 28 0.2× 340 2.4× 44 878
Atanu Biswas India 19 557 3.0× 113 0.7× 377 2.5× 4 0.0× 97 0.7× 135 1.3k
Damir Filipović Switzerland 31 187 1.0× 126 0.8× 581 3.8× 14 0.1× 838 5.9× 115 3.1k
Yiqing Lin United States 19 26 0.1× 60 0.4× 41 0.3× 4 0.0× 38 0.3× 68 1.1k
Young Chel Kwun South Korea 22 391 2.1× 576 3.7× 794 5.3× 367 2.5× 11 0.1× 95 1.8k
Damaraju Raghavarao United States 13 96 0.5× 146 0.9× 407 2.7× 14 0.1× 90 0.6× 57 800

Countries citing papers authored by Muhammad Aamir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Aamir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Aamir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Aamir. A scholar is included among the top collaborators of Muhammad Aamir 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 Aamir. Muhammad Aamir 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.
Ahmad, Sohaib, et al.. (2024). An improved class of estimators for estimation of population distribution functions under stratified random sampling. Heliyon. 10(7). e28272–e28272. 7 indexed citations
3.
Aamir, Muhammad, et al.. (2024). Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework. Journal Of Big Data. 11(1). 1 indexed citations
4.
Aamir, Muhammad, et al.. (2024). Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models. Scientific Reports. 14(1). 29903–29903. 1 indexed citations
5.
Aamir, Muhammad, et al.. (2023). Impacts of crude oil market on global economy: Evidence from the Ukraine-Russia conflict via fuzzy models. Heliyon. 10(1). e23874–e23874. 8 indexed citations
6.
Ullah, Ikram, Muhammad Waqas, Muhammad Ilyas, et al.. (2023). A novel variant of GALC in a familial case of Krabbe disease: Insights from structural bioinformatics and molecular dynamics simulation. Genes & Diseases. 10(6). 2263–2266. 1 indexed citations
7.
8.
Aamir, Muhammad, et al.. (2023). Implications of the COVID-19 pandemic on the shanghai, New York, and Pakistan stock exchanges. Heliyon. 9(7). e17525–e17525. 1 indexed citations
9.
Ahmad, Sohaib, Muhammad Aamir, Javid Shabbir, et al.. (2023). An enhanced estimator of finite population variance using two auxiliary variables under simple random sampling. Scientific Reports. 13(1). 21444–21444. 8 indexed citations
10.
Ahmad, Sohaib, et al.. (2023). Enhanced Estimation of the Population Mean Using Two Auxiliary Variables under Probability Proportional to Size Sampling. Mathematical Problems in Engineering. 2023(1). 9 indexed citations
11.
Rehman, Mohammad Ebad Ur, Ahmad Iftikhar, Huzaifa Ahmad Cheema, et al.. (2022). Efficacy of Catheter Ablation for Atrial Fibrillation in Hypertrophic Cardiomyopathy: A Systematic Review and Meta-Analysis. Current Problems in Cardiology. 48(3). 101524–101524. 9 indexed citations
12.
Ahmad, Sohaib, Kalim Ullah, Muhammad Aamir, et al.. (2022). A simulation study: Improved ratio-in-regression type variance estimator based on dual use of auxiliary variable under simple random sampling. PLoS ONE. 17(11). e0276540–e0276540. 4 indexed citations
13.
Ahmad, Sohaib, Muhammad Aamir, Javid Shabbir, et al.. (2022). A simulation study: Using dual ancillary variable to estimate population mean under stratified random sampling. PLoS ONE. 17(11). e0275875–e0275875. 9 indexed citations
14.
Ahmad, Sohaib, et al.. (2022). Improved Estimation of Finite Population Variance Using Dual Supplementary Information under Stratified Random Sampling. Mathematical Problems in Engineering. 2022. 1–12. 13 indexed citations
15.
Naeem, Muhammad, et al.. (2021). Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak. PeerJ Computer Science. 7. e746–e746. 23 indexed citations
16.
Ahmad, Sohaib, et al.. (2021). Estimation of finite population mean using dual auxiliary variable for non-response using simple random sampling. AIMS Mathematics. 7(3). 4592–4613. 20 indexed citations
17.
Gao, Wei, et al.. (2020). Computing entire Zagreb indices of some dendrimer structures. Main Group Metal Chemistry. 43(1). 229–236. 7 indexed citations
18.
Iqbal, Zahid, Muhammad Aamir, Muhammad Ishaq, & Ani Shabri. (2018). On Theoretical Study of Zagreb Indices and Zagreb Polynomials of Water-Soluble Perylenediimide-Cored Dendrimers. 10(4). 647–657. 3 indexed citations
19.
Khan, Noor Ullah, et al.. (2017). Assessment of Imbalance among Environmental and Economic Performance within Malaysian Manufacturing Industry: A Sustainable Approach. SHILAP Revista de lepidopterología. 4 indexed citations
20.
Aamir, Muhammad, et al.. (2013). Co-inoculation with Rhizobium and plant growth promoting rhizobacteria (PGPR) for inducing salinity tolerance in mung bean under field condition of semi arid climate. SHILAP Revista de lepidopterología. 27 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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