Muhammad Aslam
- Statistics and Probability top 0.5%
- Statistical Distribution Estimation and Applications 81
- Statistical Methods and Bayesian Inference 40
- Advanced Statistical Methods and Models 21
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- Advanced Statistical Process Monitoring 18
- Probabilistic and Robust Engineering Design 17
- Scientific Measurement and Uncertainty Evaluation 8
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models 53
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- Hydrology and Drought Analysis 11
- Co-authors
- Tabassum Naz SindhuSajid AliMuhammad RiazBabar ZamanZawar HussainMuhammad TahirTahir MehmoodMuhammad Saleem
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyMedical Laboratory Technology
- Journals
- SHILAP Revista de lepidopterología (4 papers)PLoS ONE (3 papers)IEEE Access (2 papers)
- Partner nations
- PakistanSaudi ArabiaAustralia
In The Last Decade
Muhammad Aslam
101 papers receiving 663 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 518
- Statistics, Probability and Uncertainty 320
- Medical Laboratory Technology 26
- Safety, Risk, Reliability and Quality 65
- Artificial Intelligence 152
Countries citing papers authored by Muhammad Aslam
This map shows the geographic impact of Muhammad Aslam'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 Aslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Aslam more than expected).
Fields of papers citing papers by Muhammad Aslam
This network shows the impact of papers produced by Muhammad Aslam. 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 Aslam. The network helps show where Muhammad Aslam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Aslam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 15 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 37 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 1 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 7 | |
| 14 | 2014 | 2 | |
| 15 | Statistical Inference for Mixed Burr Type II Distribution using a Bayesian Framework | 2014 | 4 |
| 16 | 2013 | 5 | |
| 17 | 2013 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2012 | 8 | |
| 20 | 2012 | 7 |
About Muhammad Aslam
Muhammad Aslam is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 109 papers that have together received 700 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (81 papers), Bayesian Methods and Mixture Models (53 papers), Statistical Methods and Bayesian Inference (40 papers), Advanced Statistical Methods and Models (21 papers), Advanced Statistical Process Monitoring (18 papers), Probabilistic and Robust Engineering Design (17 papers), Hydrology and Drought Analysis (11 papers) and Scientific Measurement and Uncertainty Evaluation (8 papers). The work is most often cited by research in Statistics and Probability (518 citations), Statistics, Probability and Uncertainty (320 citations) and Medical Laboratory Technology (26 citations). Muhammad Aslam has collaborated with scholars based in Pakistan, Saudi Arabia and Australia. Frequent co-authors include Tabassum Naz Sindhu, Sajid Ali, Muhammad Riaz, Babar Zaman, Zawar Hussain, Muhammad Tahir, Tahir Mehmood, Muhammad Saleem, Nasir Abbas and Aamir Saghir. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.