Muhammad Aamir

1.2k citations
79 papers · 842 · h-index 18

Impact in

Papers in

Muhammad Aamir

77 papers receiving 822 citations

Peers

Muhammad Aamir
Comparison fields: 5 of 119
  • Statistics and Probability 197
  • Geometry and Topology 149
  • Management Science and Operations Research 150
  • Modeling and Simulation 50
  • Computational Theory and Mathematics 156
Replace Muhammad Uzair Awan with:
Muhammad Uzair Awan Pakistan
Muhammad Saeed Pakistan
Young Chel Kwun South Korea
Luis Ángel García-Escudero Spain
Graciela González-Farı́as Mexico
Sohail Zafar Pakistan
Atanu Biswas India
Stanisław Heilpern Poland
Andrzej S. Nowak Poland
Muhammad Aamir relative to Muhammad Uzair Awan Pakistan Muhammad Uzair Awan's profile →
Citations per field
00.5×1.5×
Muhammad Uzair Awan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Muhammad Aamir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Aamir Line = papers co-authored together Muhammad Aamir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201940
2 202137
3 201833
4 202130
5
Co-inoculation with Rhizobium and plant growth promoting rhizobacteria (PGPR) for inducing salinity tolerance in mung bean under field condition of semi arid climate
201328
6 201928
7 201928
8 202327
9 202026
10 202125
11 202024
12 202124
13 202122
14 202121
15 201621
16 201919
17 201818
18 202317
19 202217
20 202214

About Muhammad Aamir

Muhammad Aamir is a scholar working on Economics and Econometrics, Statistics and Probability, Management Science and Operations Research, Geometry and Topology and Computational Theory and Mathematics, having authored 79 papers that have together received 842 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (18 papers), Market Dynamics and Volatility (13 papers), Statistical Distribution Estimation and Applications (12 papers), Graph theory and applications (10 papers), Computational Drug Discovery Methods (9 papers), Statistical Methods and Bayesian Inference (9 papers), Forecasting Techniques and Applications (8 papers) and Stock Market Forecasting Methods (7 papers). The work is most often cited by research in Statistics and Probability (197 citations), Geometry and Topology (149 citations), Management Science and Operations Research (150 citations), Modeling and Simulation (50 citations) and Computational Theory and Mathematics (156 citations). Muhammad Aamir has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Muhammad Ishaq, Adnan Aslam, Ani Shabri, Zahid Iqbal, Sohaib Ahmad, Javid Shabbir, Wei Gao, Sardar Hussain, Muhammad Naeem and Zardad Khan. Their work appears in journals such as IEEE Access, Heliyon, PLoS ONE, Scientific Reports and Complexity.

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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