Muhammad Ijaz
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- Accounting top 10%
- Statistics, Probability and Uncertainty top 5%
- Finance top 10%
- Co-authors
- Ahmed Imran HunjraImran YousafSyed Muhammad AsimShoaib AliMuhammad Irfan ChaniAlamgir KhalilRauf I AzamTolga Zaman
- Topics
- Statistical Distribution Estimation and Applications (14 papers)Probabilistic and Robust Engineering Design (9 papers)Survey Sampling and Estimation Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanSaudi ArabiaEgypt
In The Last Decade
Muhammad Ijaz
41 papers receiving 379 citations
Peers
Comparison fields: 5 of 71
- Statistics and Probability 124
- Economics and Econometrics 116
- Accounting 111
- Statistics, Probability and Uncertainty 62
- Finance 61
Countries citing papers authored by Muhammad Ijaz
This map shows the geographic impact of Muhammad Ijaz'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 Ijaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ijaz more than expected).
Fields of papers citing papers by Muhammad Ijaz
This network shows the impact of papers produced by Muhammad Ijaz. 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 Ijaz. The network helps show where Muhammad Ijaz may publish in the future.
Co-authorship network of co-authors of Muhammad Ijaz
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ijaz. A scholar is included among the top collaborators of Muhammad Ijaz 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 Ijaz. Muhammad Ijaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 45 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 31 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 18 | |
| 17 | The Impact of Macroeconomic Variables on Stock Prices in Pakistan | 21 |
| 18 | Impact of Micro Economic Variables on Firms Performance | 10 |
| 19 | Impact of Dividend Policy, Earning per Share, Return on Equity, Profit after Tax on Stock Prices | 35 |
| 20 | Assessing the Financial Failure Using Z-Score and Current Ratio: A Case of Sugar Sector Listed Companies of KSE | 2 |
About Muhammad Ijaz
Muhammad Ijaz is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Energy, having authored 44 papers that have together received 405 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (14 papers), Probabilistic and Robust Engineering Design (9 papers) and Survey Sampling and Estimation Techniques (8 papers). The work is most often cited by research in Statistics and Probability (124 citations), Accounting (111 citations) and Statistics, Probability and Uncertainty (62 citations). Muhammad Ijaz has collaborated with scholars based in Pakistan, Saudi Arabia and Egypt. Frequent co-authors include Ahmed Imran Hunjra, Imran Yousaf, Syed Muhammad Asim, Shoaib Ali, Muhammad Irfan Chani, Alamgir Khalil, Rauf I Azam, Tolga Zaman, Muhammad Farooq and Muhammad Ali. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.